Thursday, July 31, 2014

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Hola, selamat Datang! Dapur Solia melayani Anda draining semboyan: "Setiap potongnya diolah draining cinta". Melayani pelanggan pantry said sekitaran Paiton, Probolinggo, Besuki Kraksaan teeth - Situbondo (Jawa Timur). HOW TO ORDER Setiap produk hanya dibuat berdasarkan pesanan (pre-order). Laku pemesanan camp, transfer pembayaran paling lambat 3 Hari said depending, konfirmasi melalui sms / email. Ongkos kirim berlaku untuk luar Paiton pengiriman that. Tidak menemukan separate Yop Anda said inginkan blog united? Contact me and I will try to deliver your request. pantry EMAIL ME @ gmail.com CONTACT dapur.solia HP / WA: 0811354270 pantry BB PIN: 2696D7FC ADDRESS Toko Dapur Solia Ruko Surya Abadi cellar. 2 JL Paiton Km 135 (depending Pasar Paiton) Paiton - Probolinggo 67291 Jawa Timur Salam manis, pantry
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Wednesday, July 30, 2014

Buy the tools and material cake also different in some places. For example, turner a cupcake pan an


Buy the tools and material cake also different in some places. For example, turner a cupcake pan and paper purchased in the Market cupcakenya Tebet Barat, small flower prints flower bento bought at Daisho ('ve long had but have not had time kepakai), to print the following turner letter and fondantnya butter cream cupcake box motif plus purchase in stores Loyang Tebet (see gegara Darina blog, Family Kamil ya that time the intention to Loyang hehe), for nonpareils, food coloring paste and plain cupcake boxes bought in the market Mayestik, for another food coloring and sugar sugar warninya color on fresh buying market Tourism City.
Others use the table, while I simply use 2 plastic box that I made the Star Lion pedestal holding a cupcake box. There also is carrying a small stove and a gas cylinder having fry.
For the cupcake using buttercream only sold a little turner less exciting as it may be decorative, turner or maybe also because of the location I live less butter creamnya cool and eventually form a bit mushy and not pretty anymore hiikkss
Moreover, by participating in the market selling Citragran Sunday morning so add friends and acquaintances and experiences because it can be the story of the emaks the open stalls next to and across from my stall.
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[BISKUT Raya PENUH DIMEJA] Tempahan biskut Raya dibuka jack lalanne mulai sekarang sehingga minggu pertama Ramadan .. This dapatkan testers teeth sekarang detail. Arguin dicari atau juga dari jualan said Bazar Ramadan .. Those call / sms / whatsapp Tru 012-7141457 / 012-7153160 utk pertanyaan .. TQ * Biskut Ketuk2 AildilFitri
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Tuesday, July 29, 2014

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After completed bundt cake ngan wat betel trellis for cup cake box .. Delivery times do not wear this big cake tu .. sebijik eat later because there was a peace of cake gak tu ... cost effective bride said nyer .. haha ...
I wat tu use betel trellis betel leaf imitation hard ler .. why want to find the right betel leaves. Many trees are dead. After all guys have been lazy to grow nyer .. nobody want to eat betel nyer .. if you want to pass wat .. wat job is not very frequent mating bebaloi ler ni .. tak tak de .. so other options had to wear a fake ler got. . fiancee this time my brother first .. I use betel leaves right had .. a lot .. tul be plucked up pegi Rengit River mintak betel leaves tu tak tau .. time again there have artificial selling betel leaves .. huhu This time I wat betel trellis sesimple possible .. because my sister got engaged first time .. masaallah bundt cake have le .. lush .. want to lift heavy .. haha .. many use betel leaves no reason to buy ... mintak jack yah .. I bought this one Artificial betel leaves .. 50pcs .. Rom 9:00 .. huhu .. so use of tu tu .. jack .. expensive ngan lagik .. not cheap flower flowers gak ni .. 1 lush trees have a kecik Rom 12:00 ..- kecik lagik a delicate flower .. again .. huhu This ler betel trellis bundt cake for my sister wedding dowry
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I always do this when grilled tamarind hardtail scad fish .. ler .. if stingray usually I prefer wat sauce saute the bulk of ...
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Monday, July 28, 2014

Beginning of cup cake named because of the materials used mixed in the cup size (cup), calphalon an


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Beginning of cup cake named because of the materials used mixed in the cup size (cup), calphalon and usually also cupcake cake is often called "figures" that developed in America in the century -19 kle. After growing continuously cup cake people start making mold in the container cupcake tins or muffin tins are usually referred gaining popularity calphalon in the 20th century and to date the cupcake already has a lot of funny shapes and can also be given appropriate toping we want. (source: yannitriwahyuni.blogspot.com)
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Sunday, July 27, 2014

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CHOCOLATE PRODUCTS * Beryl's Chocolate Compound * Cacao Ivory * Colatta * Le Bourne * Tulip * Selbourne Courveture * Milk Chocolate 42%, 52%, 62% * 52% Dark & 7)% Chocolate Cuisine 2.5kg * Bittersweet Chocolate * KINGHIN-KH - Bittersweet Dark Chocolate * KC - Brown Cuisine
Syarikat We Sell & buy Various Materials Making Kek & Roti As Follows: - * Kekacang * Flour * Preservatives * Gum Paste Flowers * Food * Flavor ja cotei Food Dyes * Chocolate ja cotei * Box Kek * Balang Biskut * Box Brown * Mixer / Oven * Butter ja cotei / Cheese * Vice Single Wilton P / S: We Also Hold a Class Making Kek & Roti Whole Year.本 公司 收 卖 多 种类 的 烘焙 器 才 如下: * 豆类 * 预拌 粉 * 防腐剂 * 手工 花 * 食品 色素 * 香精 * 各类 巧克力 * 蛋糕盒 * 饼干 盒 * 巧克力 盒 * 预拌 机 / 烤箱 *牛油 / 起 司 P / S: 本 公司 也 有 举办 烘焙 课程 ... 售卖 物品 也 特别 公道 丫 ... ^ ^
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Long processing
Ingredients 125 grams of margarine 50 grams of sugar 4 egg yolks 125 g cake flour 20 g cornstarch kitchenaid 35 ml milk 4 egg whites 50 grams sugar tsp black sesame for sprinkling
Fill Material 1 piece of chicken thigh fillets, cut into small squares onion, roughly kitchenaid chopped 2 large green chilies, seeds discarded, cut into small squares 2 tablespoons teriyaki sauce tsp soy sauce teaspoon pepper teaspoon sugar 100 ml water 1 tsp cornstarch, dissolved in 1 teaspoon water
Referral Content Processing, saute onion until fragrant, enter the chili saute until wilted. Enter the cock. Stir-fry until it changes color. Enter teriyaki sauce, soy sauce, salt, sugar. Stir well. Pour water. Cook until boiling. Thicken with cornstarch solution. Stir until bubbling. Stir well. Beat the margarine and sugar until smooth. Add egg yolks one Satui per Alternating with the majority while the sifted flour and beat well. Add the remaining flour and maize flour alternately with milk as she sifted and shaken gently. Set aside. Beat the egg whites until half fluffy. Enter the sugar a little as she whipped until fluffy. Insert whisk into the margarine. Stir well. Pour half the batter into the cupcake pan paper muffin cup dialas. Give the contents. Pour cupcake batter again. kitchenaid Sprinkle black sesame. Under fire oven with a temperature 1800c 20 minutes until cooked.
If you want to change their records with another teriyaki. Try to eliminate the contents of teriyaki sauce on the chicken teriyaki. Add tsp curry. Change kitchenaid is also a sprinkling of black sesame sprinkled with white sesame.
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Saturday, July 26, 2014

Metta Store Selling trinkets and the need for the dessert table / sweet corner in Jakarta at a pric


Metta Store Selling trinkets and the need for the dessert table / sweet corner in Jakarta at a price murah.Cupcakes Topper, Water Bottle Labels, Thank You Cards, Menu Cards, Kitkat Wrap, Wrap Milk, Pocky Label, Banner bunting birthday in accordance with the theme party needed. Labels and stickers for birthday parties, Custom By Request.Bisa Add Name, Date of Birthday, Greeting. Info: SMS / WhatsApp: 0821.654.75659. BB Pin: 7CEAFFCA Monday-Friday (9:00 to 16:00) Saturday, Sunday-HOLIDAY
- Prices do not include y78 shipping cost, the shipping cost is fully borne by the buyer.
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Wednesday, July 23, 2014

lisijie515


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lisijie515
Actually rank sum test is a permutation test, and permutation foursquare test for null basically rarely very far away from equality foursquare of distributions. Therefore, the rank sum test is actually testing whether two distributions in the same. If we assume the same shape as the two distributions, it is then that the two positions inspection distribution (median); If the distribution is normal, which is the inspection means; if the shape is different, it is in the inspection stochastic ordering. Rough but inaccurate to say that is to look at a random sample from each depicting a distribution inside foursquare the first than the second largest probability is not 0.5. So, even though the median and IQR same, it does not represent the same two distributions, rank sum test entirely possible significant.
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Tuesday, July 22, 2014

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1 The proportion of each blood type, the index of A, rate B, constitute foreman more than C, dynamic series D, recycle ratio E, the relative ratio of 2. Which of the following statements is correct A, larger, s larger B, the greater the , s smaller C, s larger, foreman for better representation of the value of the variable D, s smaller, and the overall foreman mean distance greater E, s smaller, representative of the values of the variables as possible 3. Two important features of the frequency distribution of the A, general and sample B, the overall mean and the sample mean C, parameters and statistics D, the overall standard deviation and sample standard deviation E, central tendency and dispersion trends 4. averages represent a value of the variable nature of the same group of A, discrete trend B, the distribution of C, the central tendency of D, the accuracy of E, accuracy 5. describe the average level of the normal distribution of information, which should be selected indicators A, the arithmetic mean of B, geometric The following are a few C, percentiles D, interquartile E, median 6 normal curve, on the horizontal axis, from the mean μ to μ-1.96σ area of A, 95% B, 45 % C, 97.5% D, 47.5% E, not sure (about the size of a standard deviation) 7. describe the variability of the normal distribution of information, which means that A is better Which of the following indicators, all from B, standard deviation C, variance D, coefficient of variation of E, interquartile 8. calculate an average antibody titer general should choose A, the arithmetic mean of B, the geometric mean C, median foreman D, percentile E, poor . want to represent a class 9 students constitute more than a year in an area of the various causes of death can be drawn:. A, chart B, histogram C, the percentage foreman bar graph or circle diagram D, statistical maps E, section 10 when the original When the data distribution is unknown, describe its central foreman tendency should be A. Geometric mean average number of reasonable use reasonable B. C. D. with a reasonable median median and mean with all reasonable E. geometric mean and median foreman are reasonable 11. Probability is a numerical description of the size of the possibility of random events, which of the following description of the probability is wrong A, the size value between 0 and B 1, when n is sufficiently large sample size, we have reason to approximate the probability of frequency C, the probability of the event is bound to 1 D, its value must be a Statistics obtained corresponding probability distribution table E, the probability of random events occurring less than 0.05 or 0.01, you can think it can not happen in a sample of 12 To infer from the overall sample, the sample should be general in A, any part of the B , a typical part C, a valuable part of a meaningful part D E, a representative portion 13 may calculate the mean of the following kind of data A, no precise numerical data end group B, equal or unequal distance C, the data distribution symmetry D, data were positively skewed foreman distribution E, the data were negatively skewed distribution foreman 14. comparative mortality of a disease in a certain place of four, it is desirable to draw A, common chart B, semi-logarithmic graph C, histograms D, the percentage column chart E, Column Chart 15 To reflect changes in a city for five consecutive years the incidence of hepatitis A, should choose foreman A, column chart B, histogram C, line graph D, the percentage column foreman chart E, Scatter 16. statistical tables and charts on the requirements of the title is A, both heading in the bottom B, both are at the top of the title C, can be arbitrarily set position D, Table title at the top, charts The title at the bottom of E, Table title at the bottom, the top of the chart title in 17 male incidence of leukemia is two times higher than women, the index A, the relative ratio B, fixed base than C, the constituent ratio D, the prevalence of E, the standardized prevalence of 18. statistically foreman said in general refers to the A, B arbitrary imagine all the research object, the whole purpose of C determined according to the study subjects, according to the division of all time D object of study, divided according to population studies E all objects, according to the geographical area of all 19 research subjects. commonly used in the evaluation or prognosis of cancer and other indicators of treatment effect is A, the survival rate B, mortality C, the cure rate D, efficient E, life expectancy at 20 With regard to the use of relatively few matters should be noted that the following description is wrong item A, the relative number of each index can not be greater than 100% B, do not constitute as a ratio to analyze than C, compare the difference between the rate should be comparable foreman D, the denominator should not be too small relative to the number of E, or principles constitute the sample rate than the comparison should follow a random sample of 21 For the mean of μ, σ is the standard deviation of the normal distribution, 95% of the value of the variable distribution of A. μ-σ ~ μ + σ B. μ-1.96σ ~ μ +1.96 σ C. μ-2.58σ ~ μ +2.58 σ D. - ~ μ +1.96 σ E. 0 ~ μ +1.96 σ 22 on the list of required tables, the following is false A. The title should be written in the table. the upper end, a brief description of the contents of the table heading B. Wang is the research object, the column to the right of the table; longitudinal analysis indicators heading foreman is listed in the table on the left side of the main lines of C. top line, bottom line and vertical headings below horizontal, not vertical slash and D. digital right justified, consistent with the same index number of decimal places, should not have the table space E. Note with "*" marked, written in the following Table 23. Which of the following indicators the relative ratio of A, mean B, the median C, the coefficient of variation D, geometric mean E, standard deviation 24. describe central foreman tendency indicator is A, mean B, poor C, the coefficient of variation D, the variance of E, standard deviation 25, the probability of unlikely events as A, P = 0 B, P = 1 C, P 0.05 D, P 0.01 E, None of the above 26. Which of the following statements is correct A, larger, s more Big B, bigger, s smaller C, s larger, representative values for each variable better D, s smaller, foreman and the greater the distance from the overall mean E, s smaller, representative of the value of each variable better resistance 27. the normal curve, foreman on the horizontal axis, from the mean μ to μ-1.96σ area of A, 95% B, 45% C, 97.5% D, 47.5% E, can not be determined (with standard deviation The size of the) 28 The following are the kind of data to calculate the number of A, no precise numerical foreman data end group B, at equal or unequal C, data distribution symmetry D, data were positively foreman skewed distribution E, the data were negatively skewed distribution 29 . averages represent foreman a set of values of the same variable nature of A, discrete trend B, the distribution of C, the central tendency of D, the accuracy of E, accuracy 30. describe the average skewed distribution of information, which should be selected indicators A, arithmetic average number of B, the geometric mean C, percentiles D, interquartile E, median 31. calculate an average antibody foreman titer, foreman generally should choose A, the arithmetic mean of B, the geometric mean C median D, percentile E, poor 32. describe the degree of variation of the distribution of information, which means that A is better Which of the following indicators, all from B, standard deviation C, variance D, coefficient of variation E, four quantile spacing 33 when the original data distribution is unknown, describe foreman its central tendency should be A. Geometric mean average number of reasonable use reasonable B. C. D. with a reasonable median median and mean with all reasonable E. geometric mean and median are reasonable 34. Two important characteristics of the frequency distribution foreman is A, general and sample B, the overall mean and sample mean C, parameters and statistics D, the overall standard foreman deviation and sample standard deviation E, central foreman tendency and dispersion trends 35. Statistics said in general refers to all B A, any imagined foreman object of study, according to a study to determine the purpose of all C object foreman of study, according to the division of the whole D object foreman of study time, according to the population of all the E division foreman of subjects, according to the geographical location of all 36 research subjects. probability of a random event is to describe the possibility of numerical size, Which of the following descriptions of the probability of error is A, the magnitude of the value between 0 and B 1, when n is sufficiently large sample size, it is reasonable to approximate the probability of the frequency C, the probability of occurrence of certain event 1 D , its value must be obtained from a statistical probability distribution table corresponding to the amount of E, the probability of random events occurring less than 0.05 or 0.01, you can think it can not happen in a sample of 37 in order to infer from the overall sample, the sample should be population A, any part B, a typical part C, a valuable part of a meaningful part D E, a portion 38 of a representative composition ratio in a region to be indicated in a variety of causes of death, can be drawn:. A, line Figure B, histogram C, the percentage bar graph or circle diagram D, statistical maps E, of Figure 39. Comparison of a four-year mortality of the disease somewhere, it is desirable to draw A, common chart B, half of the number of lines Figure C, histogram D, the percentage column chart E, Column Chart 40 To reflect changes in the city in five consecutive years, the incidence of hepatitis A, should choose A, column chart B, histogram C, line graph D, percentile column chart E, Scatter 41. heading for tables and charts requirement is B, both heading foreman in the bottom B, both are at the top of the title C, can be arbitrarily set position E, Table title at the top, at the bottom of the chart title E, Table title at the bottom, the top 42 chart titles in male lung cancer incidence rate is 10 times higher than women, the index A, the relative ratio B, fixed base than C, the constituent ratio D, popular rate E, the standardized prevalence. proportion of students in a class all blood types 43, the index of A, the incidence of B, the constituent ratio of C, the standardized incidence ratio D, the standardized incidence rate E, the relative ratio of 44. commonly foreman used in for chronic diseases, cancer and other treatment or prognosis evaluation indicators are A, survival B, mortality C, the cure rate D, efficient E, the life expectancy of 45. matters relating to the use of relatively few should be noted that, following the entry description is wrong A, the relative number of each index can not be greater than 100% B, do not constitute a ratio as to analyze the differences have comparable rates of D C, compare rates, calculate the denominator should not be too small relative to the number of E, the sample foreman Compare rates or constitute a random sample should follow the principle of fill in the blank ratio: 1 common indicators relative number ___________, __________, __________. 2 commonly used indicator reflects the level of disease there is ______________, ______________. 3 represents the central tendency indicator is ________________, including ______________________, ________________. 4 basic steps of statistical work, including ________________, __________________, _________________________________; period most critical step yes. 5 describes foreman the commonly used discrete trend indicators ___________, __________, __________,; its corresponding symbol is represented _________, _________, _________. 6 basic steps of statistical work, including ________________, __________________, _________________________________; period most critical step yes. 7 There is a sample survey methods ________________, foreman ______________________, ________________. 8 commonly used indicator to reflect the degree of harm disease has ______________, ______________. 9. Growth rate> 100%, indicating that ______________. 10 Commonly used relatively few have _______________, ________________, ________________. 11 statistical inference, including ______________, ______________. 12, in the range of probability. .... sample error probability 3 4 5 Overall median probability 6 7 8 mean dynamic series short answer: 1 What is sampling error? Whether sampling error can be avoided? 2 months in a clinic foreman a total of 20 patients were cured, midterm children under 10, accounting for 50%; aged 2, 10%; aged 8, accounting for 40%, the conclusion is: "The clinic for treatment of patients with the most children good, "Do you agree? Say why. (5 points) 3 of a doctor with a drug treatment of four cases of gastritis patients were cured, the conclusion is:. "Drug for patients with pneumonia cure rate was 100%, and worthy of promotion," Do you agree? Say why. 4 In a great sample size, the group tends to 0 at the top of the straight side of the connection each constitute a curve, foreman the curve is what terms? The area under the curve is what is the significance? (2 points) 5 2 nurse my school classes are girls, a class of 52 people, the average weight of 47kg; 2 classes of 61 people, the average weight of 50kg; ask For weight compared to the situation two classes foreman of students, foreman the need to make significant foreman Inspection? 6 Our school nurse two classes taught by the same teachers in the same course, a class of 57 people, eight people fail; 2 classes of 61 people, nine failed, the variance of the results of two similar classes, ask For two classes and whether there are differences in the level fail, the need to make significant test? (5 points) Question: 1.2008 average foreman number of 300 employees in a factory, according to the infirmary report, a total of 100 person years of influenza occur, December participate in the examination number 250, a total of 10 people with hypertension; ask the plant's annual incidence of influenza and the prevalence of hypertension in December. (8 points) 2 province Statistics 2007 population of the province in early 5000 million population of 45 million in December, the annual new-onset lung cancer by 200 people; Please calculate the incidence of lung cancer in 2007 in the province. (5 points) 3. Distribution is known a place 120 normal 12-year-old boy was tall approximate normal distribution, mean of 144.00cm, the standard deviation of 5.77cm, Estimate) 12-year-old boy in the crowd height of 95 % of the normal range and overall mean of 95% confidence interval. (5 points)
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Monday, July 21, 2014

Box-whisker plot ͼ Ҳ ͼ Box Plot е ͳ һ ķ λ λ ķ λ ݵ һ Ҳ Դ Եؿ Ƿ жԳ ԣ ķ ɢ ȵ Ϣ Ϊһ ݷ Σ ͼ ã ʺ ڣ 1 2


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ת http://blog.csdn.net/dylanren/archive/2010/05/31/5635620.aspx
Box-whisker plot ͼ Ҳ ͼ Box Plot е ͳ һ ķ λ λ ķ λ ݵ һ Ҳ Դ Եؿ Ƿ жԳ ԣ ķ ɢ ȵ Ϣ Ϊһ ݷ Σ ͼ ã ʺ ڣ 1 2 ʶ 쳣 㡣 ڻ ͼ ʱ OL 1 ķλ quartile ͳ ѧ У С в ĵȷݣ λ õĵ ķ λ (2) һķλ (Q1) OK һλ ķλ ڸ Ск 25% ڶ ķλ 3 (Q2) Median λ ӴСС λм Ϊ ʱ λ = (N +1) / 2 ݣ Ϊż ʱ λΪ N / 2 N / 2 +1 ݵ ƽ һ м λ ϵĴ ݼ Ӱ 졣 ijЩ ݵı䶯 λ Ӱ 첻 һ еĸ ݱ䶯 ϴ ʱ 伯 ơ : 4 ķλ (Q3) OK λ ķλ ڸ Ск 75% (5) ķλ IQR interquartile range ھ, ķλķλ , ķλ ɷӳ ȵ ĴС (6): Q1-1.5I * QR, Q3 +1.5 * IQR Ϊ ޡ (7) 쳣 㣨outliers Ϊ 쳣 㡣 ͼ ʱ ߵ յ Ϊ min (Q3 +1.5 * IQR, ) ߵ յ Ϊ max (Q1-1.5 * IQR, С ) ͼ ǿ Բ ݵķ λ ʷ ݵ ߡ dz Ϊ 쳣 㡣EXCEL 2 Լ ķλ quartile (Array, quart) percentile ldm (Array, k) 10 2 3 5 10 12 13 14 34 34 36 ڵ A1 A10 С
Quartile ķλQUARTILE (A1: A10, 1) = 6.25 λQUARTILE (A1: A10, 2) = 12.5 ķλQUARTILE (A1: A10, 3) = 29 percentile ķλPERCENTILE (A1 : A10, 0.25) = 6.25 λPERCENTILE (A1: A10, 0.5) = 12.5 ķλPERCENTILE (A1: A10, 0.75) = 29 λ Բ median () ķλķж EXCEL Уķλ㷨 ҵ k С , k = (quart / 4) * (n-1)) +1, quart Ϊ0 4 һ quart ķ λ nλ ĸ k ȡ ȥ С λf ҵ k k+1 й ʽ 㣺Output = a [k] + (f * (a [k +1]-a [k])) to [k] = kС the [k +1] = k + 1С У ķ λ 㷨 test, k = (1/4 * (10-1) +1) = 3 f = 1/4 * (10-1) +1- k = 0.25 = 5 ķλ +10- 5 * f = 6.25 ע MINITAB м ķ λ 㷨 EXCEL 㷨 Ҳ Dz ġ Ϊ Ŀ ģ ʵ п Բ EXCEL Ľ 2-3 ҵ ͼ ÿ ͼ ȣ ͼ Ҫ ж ݵķ Ҫ ݵ㰴ʱ Ҫ У к ǿ ʵ ԡ ij ҵ 18 Ŀ ϵͳ Ե ȱ ȣ õ µ ݣ ȱ (/ KLOC) 1 1.37 2 1.57 3 0.70 4 0.47 5 0.89 6 0.67 7 0.21 8 0.67 9 0.89 10 0.25 11 0.63 12 0.60 13 0.13 14 0.47 15 2.38 16 0.33 17 1.11 18 0.00 ͼ ߣ EXCEL м = 0.37 Q1 Q2 Q3 = 0.65 = 0.89 IQR = 0.52 ǽ ޣ 0 壬 ȡ Ϊ0 ޣ 0.65 1.67
ת http://blog.csdn.net/dylanren/archive/2010/05/31/5635620.aspx ͼ Box Box-whisker plot Ҳ ͼ Plot, blogTag: 'statistics, ͼ, λ, blogUrl:' blog/static/22367723201092571951810, isPublished: 1, istop: false, ldm type: 0, modifyTime: 1316946535654, publishTime: 1288005591810 , Permalink: ldm 'blog/static/22367723201092571951810, commentCount: 0, mainCommentCount: 0, recommendCount: 0, bsrk: -100, publisherId: 0, recomBlogHome: false, currentRecomBlog: false, attachmentsFileIds: [], vote: {}, groupInfo: {}, friendstatus: 'none', followstatus: 'unFollow', pubSucc:'', visitorProvince:'', visitorCity:'', visitorNewUser: false, postAddInfo:{"postAdSetting":{"title":" ʤ ","linkUrl":"http://g.163.com/a?CID=29495&Values=3214368749&Redirect=http://e.cn.miaozhen.com/r.gif?k=1014155&p=4-7Oo0&ae=1000778&vo=3f900abb5&vr=2&rt=2&ns=[M_ADIP]&ni=[M_IESID]&na=[M_MAC]&o=http%3A%2F%2Fpizzahut.qq.com","imageUrl":"http://img1.126.net/channel8/017284_290260_0714.swf","linkUrl2":"","expireDay":"3","modifyTime":"1405904548091","imageUrl2":"","targetProvince":"","flashUrl":"http://img1.126.net/channel8/017284_290260_0714.swf"},"isAdShow":true,"postAdContent":{"special":[{"title":" ldm ϰ ϯ 籭 Ը ʱʵ ","url":"http://cskun1989.blog.163.com/blog/static/1276782242014621856361/"},{"title":" Ƴ ο &quot;Ǯ&quot;","url":"http://topnews9.blog.163.com/blog/static/227137096201462193141515/"},{"title":" С &quot; ʥ&quot; ˮ ","url":"http://zhangjinlai0412.blog.163.com/blog/static/659131202014621003991/"}],"blog":[{"title":" С Ȼ Ϸˮ","pic":"http://img2.cache.ne

The value of the variable morphy richards frequency distribution of the information prepared in acc


Luo Yuan Xu Yili
The value of the variable morphy richards frequency distribution of the information prepared in accordance with the frequency table can understand.
2 geometric mean (geometric morphy richards mean, G)
Due to unit variance is the square of the original unit, it is still easy to use. The square root of the variance of the arithmetic, that the standard deviation is a better morphy richards indicator. Accordingly, the standard deviation is also the overall standard deviation and sample standard deviation of the points, respectively, with the Greek letter xigema (sound) and English s representation Share on Twitter


Sunday, July 20, 2014

References D3 box plot demonstrates mikasa median quartile MBALib Wiki Wiki percentile baidu quarti


This data shows that: the minimum value (Minimum) 5 the lower quartile (Q 1) is 7 bits (Q 2, Median) 8.5 upper quartile (Q 3) 9 maximum (Maximum ) is 10 with an average of 8 interquartile range (Inter-quartile range, IQR) of Q 3-Q 1 = 2, that is, ΔQ, is deemed interval Q 1-1.5ΔQ, mikasa the value of Q 3 +1.5 ΔQ outside in To be ignored (farout). farout: not shown on the map, marked with a sign only. Max range: Q 3 +1.5 ΔQ minimum interval: Q 1-1.5ΔQ maximum and minimum values generated in this interval. Value outside the range is considered outlier shown in the figure. mild outlier is 3.5 extreme outlier 0.5
Q 1 and Q 3 are respectively 19 and 28; IQR interquartile range of Q 3 - Q 1 = 28-19 = 9
Known percentile score percentile (percentile), the status of a relatively few amount, which is the number of distribution (Frequency Distribution, frequency distribution) of a point. After the distribution of a number of sort, divided into 100 units, is the frequency distribution percentile mikasa relative to a certain percentage of the original score, which indicates the number of cases is less than a specified percentage of the distribution of the scores. Percentile plus with P under standard m (specific points) said. For example, if P 30 is equal to 60, then it indicates that the frequency distribution in 30% of cases in less than 60 minutes.
95 ~ 99
78
1277
963
24.51%
15 ~ 19
References D3 box plot demonstrates mikasa median quartile MBALib Wiki Wiki percentile baidu quartile quartile box plot Wiki Wiki Wiki percentile frequency distribution demonstrates statistically MBALib


Saturday, July 19, 2014

jiangkeju: You solved a big problem. Most people rarely do this kind of chart lines, no examples to


2 is a benchmark used to determine BoxPlot moderate outliers (mild Outliers) and extreme outliers (extreme Outliers), moderate nims outliers is 1.5 times greater than any value remaining IQR, outliers limit based on the value of all the any value greater than three times the IQR all remaining values, IQR (Interquartile Range) Representative interquartile, these values are intermediate values of 50%, respectively, nims Q1-25%, Median-50%, Q3- 75%, IQR = Q3-Q1
Q1-lower quartile (11 * 0.25 = 3) = 7
package com.dataanalysis.plots; import java.awt.Font; import java.util.ArrayList; import java.util.List; import org.jfree.chart.ChartPanel; import org.jfree.chart.JFreeChart; import org.jfree . chart.axis.CategoryAxis; import org.jfree.chart.axis.NumberAxis; import org.jfree.chart.labels.BoxAndWhiskerToolTipGenerator; import org.jfree.chart.plot.CategoryPlot; import org.jfree.chart.renderer.category . BoxAndWhiskerRenderer; import org.jfree.data.statistics.BoxAndWhiskerCategoryDataset; import org.jfree.data.statistics.DefaultBoxAndWhiskerCategoryDataset; import org.jfree.ui.ApplicationFrame; import org.jfree.ui.RefineryUtilities; public class BoxAndWhiskerDemo extends ApplicationFrame {/ **** / private static final long serialVersionUID =-3205574763811416266L; / *** Creates a new demo ** @ param title the frame title * / public BoxAndWhiskerDemo (final String title) {super (title);.. final BoxAndWhiskerCategoryDataset dataset = createSampleDataset (); final CategoryAxis xAxis = new CategoryAxis ("Type"); final NumberAxis yAxis = new NumberAxis ("Value"); yAxis.setAutoRangeIncludesZero nims (false); final BoxAndWhiskerRenderer renderer = new BoxAndWhiskerRenderer (); renderer.setFillBox (false ); renderer.setToolTipGenerator (new BoxAndWhiskerToolTipGenerator ()); final CategoryPlot plot = new CategoryPlot (dataset, xAxis, yAxis, renderer); final JFreeChart chart = new JFreeChart ("Box-and-Whisker Demo", new Font ("SansSerif" , Font.BOLD, 14), plot, true); final ChartPanel chartPanel = new ChartPanel (chart); chartPanel.setPreferredSize (new java.awt.Dimension (450, 270)); setContentPane (chartPanel);} / *** .. Creates a sample dataset ** @ return A sample dataset * / private BoxAndWhiskerCategoryDataset nims createSampleDataset () {final int seriesCount = 2; final int categoryCount = 4; double [] data = null; final DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset (); for (int i = 0; i <seriesCount; i + +) {if (i == 0) {data = new double [] {2,4,6,8,12,14,16,18,20,25,45} ;} else {data = new double [] {2,4,6,8,12,14,16,18,20,25,26};} for (int j = 0; j <categoryCount; nims j + +) {final List list = new ArrayList (); for (int k = 0; k <data.length; k + +) {list.add (new Double (data [k]));} dataset.add (list, "Series" + i , "Type" + j);}} return dataset;..} / *** For testing from the command line ** @ param args ignored * / public static void main (final String [] args) {final BoxAndWhiskerDemo demo = new BoxAndWhiskerDemo ("Box-and-Whisker Chart Demo"); nims demo.pack (); RefineryUtilities.centerFrameOnScreen (demo); demo.setVisible nims (true);}}
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Ten years of professional experience in JAVA programming, really Fun Swing / RCP / Eclipse PlugIn engaged Oracle / MySQL, J2EE, JS and other modified N-Bug, participated N systems are good at image processing nims and browser-side graphical reports, data visualization nims data analysis and text mining technologies, HTTP protocol analysis wish to know more like-minded friends in particular: Request source declined Tencent microblogging E-Mail: bfnh1998@hotmail.com something, please message the station
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Comments Top Java System Pragmatic Programmer (77) Java to create a transparent window with arbitrary shape similar to (72) image processing of picture identification (histograms applied) (47) of the Gaussian blur image processing (28) Image processing of Hough K-Means algorithm demonstration near the point interpolation image gradient effect transformation (line detection algorithm) (20) Image Processing nims (17) image scaling (16) Image Processing (15) histogram analysis image analysis (15) based on VML and HTML5 Canva achieve cross-browser pie and line charts nims (12)
jiangkeju: You solved a big problem. Most people rarely do this kind of chart lines, no examples to follow online. You get very practical. I'm nims going to try to do it as you. Corrosion of binary nims image processing


Friday, July 18, 2014

Recent Comments unknow published in

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ķλ ķ λ ķ λ ķ λ , ķ λ ɷ ӳ ȵĴ С. Q3 - Q1 ķλ һ ȷ ķλλ ķλǽ ȷ ĸ һ ķ λ ķ λ λ ķλ Q 1 Q 2 Q 3 Ϊ Q 1 Q 2 Q 3λÿ ʽ ȷ Q 1λ (n +1) / 4 Q 2λ (n +1) / 2 Q 3λ 3 (n + 1) / 4 ʽ n ʾ ε ڶ ݵ һ ȷ ķ λ λ ã ȷ Ӧ ķ λ 1 磺ij ij ݵĹ ij Ʒ Ϊ13 13.5 13.8 13.9 14 14.6 14.8 15 15.2 15.4 15.7 ķ λ λ Ϊ Q 1λ (n +1) / 4 = (11 +1) / 4 = 3 Q 2λ (n +1) / 2 = (11 +1) / 2 = 6 Q 3 λ 3 (n +1) / 4 = 3 (11 +1) / 4 = 9 еĵ ھŸ ij Ʒ Ϊ ķ λ λ ķ λ Q 1 = Q 2 = 14.6 13.8 Q 3 = 15.2 2 У n+1 ǡ Ϊ4 ı ȷ ķ ϼ n+1 Ϊ4 ʽ ķ λ λ þʹ С ʱ йص ķ λ Ӧ С ڵ λ ϵı ƽ Ȩ Ĵ Сȡ λ þ Զ Խ Ȩ Խ ԽԶ Ȩ ԽС Ȩ 1 磺ij ij ݵĹ ij Ʒ Ϊ13 13.5 13.8 13.9 14 14.6 14.8 15 15.2 15.4 ķ λ λ Ϊ Q 1λ (n +1) / 4 = (10 +1) / 4 = 2.75 Q 2λ (n +1) / 2 = (10 +1) / 2 = 5.5 Q 3 λ3 (n +1) / 4 = 3 (10 +1) / 4 = 8.25 еĵ 2.75 5.5 8.25 ij Ʒ Ϊ ķ λ λ ķ λ Q 1=0.25 ڶ +0.75 =0.25 13.5+0.75 13.8=13.73( ) Q 2=0.5 +0.5 =0.5 14+0.5 14.6=14.3( ) Q 3 = 0.75 +0.25 ڰ ھ = 0.7515 +0.2515.2 = 15.05 () ʵ У ڱ е ڱ ģ һ Ҫ õ йص ķ λ Excelķλ Excelпù ʽ quartile (Array, quart) Ã 磺 = quartile (A3 : A30, 1) = ΪQ1 quartile (A3: A30, 3) ΪQ3 5. ظ Ϊö / һ Ա ķ ʹ IJ Ի ʩ ڶ ʱ ڶ һ / В / l2 6. ɲ IJ Ա ķ ʹ ò IJ Ի ʩ һ / Й2 Ի ö / l2 7. ظٽ һ ظ Խ ľ Բ һ ĸ С ڵ ڴ ע Ӱ е ƽ λ б һ ж һ ݵ Ч ԡ 8. ٽ ٽ һ Խ ľ Բ һ ĸ С ڵ ڴ ж һ ݵ Ч ԡ ϵ ټ 9. ظ Ϊ 95% ظٽ 10. ޣ ޣ Ϊ 95% ٽ Ͷ GB / T 3358.2-2009 ͳ ѧ㼰 2 Ӧ ͳ Ͷ GB / T 3358.2-2009 K GB / T 6379.1-2004 д ڲ 졣 [2012/8/10 15:56:26 Last edit by tanghuizhi01] 1. ƽ ԣ replicability һʵ ң Ա һ Ʒ еĶ ƽ Ʒ Ա ƫ 2. ظ ԣ repeatability һʵ ң Ա ķ ڶ ʱ ڶ һ Ʒ ظ ⶨ Ա ƫ 3. ԣ reproducibility ʵ ҵIJ Ա һ ⶨ Ա ƫ Ա ƫ DZ ƫ ƽ ı ƫ S ƫΪ ƫ ƫ ƫ Ա ƫ ʾ
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this.p = {m: 2, b: 2, id: 'fks_087064086086088068093082095065072082087070084081080064086, blogTitle:' ݷ, blogAbstract: 'ķλ ķ λ ķ λ ķ λ , ķ λ ɷ ӳ ȵĴ С. Q3 - Q1 ķλ һ ȷ ķλλ ķλǽ ȷ ĸ һ ķ λ ķ λ λ ķλ Q 1 Q 2 Q 3 Ϊ Q 1 Q 2 Q 3λÿ ʽ ȷ Q 1λ (n +1) / 4 Q 2λ (n +1) / 2 Q 3λ 3 (n + 1) / 4, blogTag: 'ݷ, ͳ Ƽ, ʵ Ͽ, ȷ, blogUrl:' blog/static/46507632201362385252169 ' , isPublished: 1, istop: false, halogen oven type: 0, modifyTime: 0, publishTime: 1374583972169, Permalink: 'blog/static/46507632201362385252169, commentCount: 0, mainCommentCount: 0, recommendCount: 0, bsrk: -100, publisherId: halogen oven 0, recomBlogHome: false, currentRecomBlog: false, attachmentsFileIds: [], vote: {}, groupInfo: {}, friendstatus: 'none', followstatus: 'unFollow', halogen oven pubSucc:'', visitorProvince:'', visitorCity halogen oven ' , visitorNewUser: false, halogen oven postAddInfo:{"postAdSetting":{"title":" ʤ ","linkUrl":"http://g.163.com/a?CID=29495&Values=3214368749&Redirect=http://e.cn.miaozhen.com/r.gif?k=1014155&p=4-7Oo0&ae=1000778&vo=3f900abb5&vr=2&rt=2&ns=[M_ADIP]&ni=[M_IESID]&na=[M_MAC]&o=http%3A%2F%2Fpizzahut.qq.com","imageUrl":"http://img1.126.net/channel8/017284_290260_0714.swf","linkUrl2":"","expireDay":"3","modifyTime":"1405646604701","imageUrl2":"","targetProvince":"","flashUrl":"http://img1.126.net/channel8/017284_290260_0714.swf"},"isAdShow":true,"postAdContent":{"special":[{"title":" Ͼ &quot;ĸ ӽ &quot; DZ ","url":"http://linhaidong2012.blog.163.com/blog/static/20930916420146175111400/"},{"title":" ѽ ","url":"http://david.tse

Thursday, July 17, 2014

Interquartile range (quartile deviation), also known as the distance or interquartile range (inter-


Interquartile range (quartile deviation), also known as the distance or interquartile range (inter-quartile range), which is the upper quartile (QL) of the difference between wedgwood the lower quartile (QU), usually with Qd said. The formula is: Qd = QU-QL interquartile range reflects the degree of dispersion in the middle 50% of the data, its value is smaller, more focused on the middle of the data; larger the value, the more dispersed the data described in the middle. Interquartile range is not affected wedgwood by extreme values. Further, since the data bits in the intermediate position, the size of a quarter of a degree difference in the median also shows a set of data representative of the degree of. Interquartile range is mainly used measure of the degree of dispersion of data sequentially. For numeric data can also be calculated interquartile range, but not for categorical data. Quartile Ascending is a set of data (or descending) order, the point with all of the data is divided into three equal portions 4, and these three points corresponding wedgwood to the position of the four values is called quantile, denoted by Q1 (first quartile), Q2 (second quartile, the median), Q3 (third quartile). Among them, half the distance between Q1 and Q3 to be called interquartile wedgwood range, denoted by Q. Interquartile range is smaller, more focused on the middle part of the data; greater the quartiles, the middle part of the data means that the more dispersed. http://www.baidu.com / s? tn = haokan123 & wd =% CB% C4% B7% D6% CE% BB% B2% EE
Good response to imprison prison `delete (Ohne dich ist alles doof) 2011-05-08 wedgwood 00:28:11
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Wednesday, July 16, 2014

0, returns the minimum value;


The position Q1 = (n +1) / 4
0, returns the minimum value;
Whisker limit is extended to 1.5 times the box from the box at the top maximum data point within the high range, Whisker limit is extended to a minimum of data points from the box within 1.5 times the box at the bottom cooler of the high range value exceeds the upper or lower limit Whisker will use an asterisk " * "indicates. However, the draw box plot in Excel needs the price chart to achieve, and therefore can not show abnormal values, Whisker data limit will be extended to the maximum position, Whisker minimum limit will be extended to the location of the data.
Add Q3 data series. As can be seen from Figure 9-54, the top line interquartile box using Q4 (maximum) position, but not required boxplot Q3 position. Right-click on the drawing area, the shortcut menu, select "Select Data" command, open the "Select Data Source" dialog box. Click the "Add" button to open the "Edit cooler Data Series" dialog box, in the "family name" folding box, enter "Q3", the value in the series folded box, select F18: F19 area, click the "OK" button cooler to see price chart into a box plot, as shown in Figure 9-55. Interquartile cooler much smaller frame height, click the top line and Whisker caps interchange, you can see the Q3 data.
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Tuesday, July 15, 2014

Where n represents the number linen of items of information Step recent visitors more visitors


Where n represents the number linen of items of information Step recent visitors more visitors >>
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Last reviewed ldl_xz: http://www.9958.pw/post/php_exc ... PHPExcel common method summary (reproduced) u013328887: Hello! I run this program you there is a problem, trouble me a hand! My QQ: 14 ... search engine linen developed lucene-author blog source of most of the assignments lucene ygswine: very complicated, do not understand ubuntu-install samba deepfuture: extract password: http://deepfuture.javaeye .... Search lucene-author linen blog engine developed most of lucene source assignments AKka: very detailed, written mailer with shoes helpful! ESMTP protocol and SMTP protocols linen


Monday, July 14, 2014

Steamed Chinese Medical University in July 2014 exam


Steamed Chinese Medical University in July 2014 exam "Medical Statistics" short answer multiple choice mokka questions test class to determine a question of subjective mokka fill in the blank essay questions, multiple choice (a total of 10 questions, 10 minutes) 1. When t0. 05/2 <t时,则事后概率为: A.'P> 0.05 B. P <0.05 C. P = 0.05 D. P> 0.01 E. P <0.01 -------- --------- Select:. B 2 approximate normal distribution data available () describes its central tendency. A. B. interquartile mean percentile C. D. E. geometric mean coefficient of variation ----------------- Select:. B 3 a place random sample of 200 normal adults, serum cholesterol were measured obtaining the number of 3.64mmol / L, the standard deviation of 1.20mmol / L, the serum cholesterol to normal adult mean the two-sided 95% confidence interval ( ) mmol / L. A. 5.99,1.29 B. 1.29,5.99 C. 3.47,3.81 D. 3.50,3.78 E. 3.78,3.50 ----------------- Select:. C 4 in the sample study , the standard error of the mean estimate of: A. large B. ratio than the standard deviation mean and standard deviation equal to the big C. D. E. unrelated small standard deviation and standard deviation ratio ---------- ------- Select:. D 5 aspect ratio of the chart axes generally () is appropriate. A. 3:5 B. 5:3 C. 5:6 D. 7:5 E. 6:4 ----------------- Select:. D 6 standard normal distribution can be denoted as: A. u ~ N (0,0) B. X ~ N (μ, σ) C. X ~ N (μ, σ2) D. u ~ N (1,0) E. u ~ N (0,1) ----------------- Select:. E 7 t test role is: whether the random sampling error A. B. Inspection Inspection random sampling error is 0 C. The actual difference in probability when test samples is equal to the mean between 0 D. inspection system error is equal to the random sampling error E. test were actually caused by differences in the number of random probability sampling error size ------- ---------- Select:. E 8 obedience () distribution of A. t B. u C. normal D. F E. χ2 --------------- - Choose: A 9 randomized block design analysis of variance data, there must be () A. MS = MS treatment total area group B. MS + MS treatment C. ν processing> ν block error D. SS> SS. E. SS total = SS error handling + SS + SS error block 10. two sample comparisons were taken the following test standards to () Type II error taken maximum. A. α = 0.01 B. α = 0.05 C. α = 0.10 D. α = 0.20 E. α = 0.30 Chinese Medical University in July 2014 exam "Medical Statistics" short answer multiple choice questions test lesson subjective judgment fill in the blank questions Second title essay, short answer (of five questions, a total of 10 points) 1. standard error (formulas describe in words) 2. variation coefficient 3. median 4. paired design 5. correlation coefficient (Eq. please text description) China Medical University in July 2014 exam "Medical Statistics" short answer multiple choice questions test lesson mokka subjective judgment fill in the blank question three essay questions, determine the question (of 10 questions, 10 minutes) 1. calculate a In a place of breast cancer mortality, the denominator for the end of the year should be the year the number of the population. A. B. correct errors 2 degrees of freedom equal to fourfold table sample size n-1. A. B. correct errors 3. Χ2 distribution is a discrete distribution. A. B. correct errors 4. Grouped data when calculating the total rate or the average rate will be the sum or average rate in each group. A. B. correct errors 5. Describe a group variability skewed mokka distribution of information to the coefficient of variation mokka better. A. B. correct errors 6. Lognormal distribution is a right-skewed distribution. 7 A. B. Correct the error in the use of relatively few, easy mistake is to look at the constituent ratio as a ratio. A. B. correct this error mean comparison mokka t-test, mokka when the difference was statistically mokka significant, P smaller the more reason to believe that both mean the same overall. 9 A. B. Correct errors if the linear correlation coefficient r = 0, then there must be linear regression intercept equal to 0. A. 10 B. Correct the error in the two-sample test to compare the rates, χ2 null hypothesis is that the overall rate of two unequal. A. B. correct mokka errors in July 2014 China Medical Exam "Medical Statistics" class questions multiple choice test to determine title subjective fill in the blank short answer essay questions four, subjective fill in the blank (of eight questions, a total of 20 points.) 1 is meant to include a variety of physiological and biochemical constant human form, function and metabolism, such as the vast majority of normal mokka people. Because there are individual differences, biomedical data is not constant, but fluctuate within a certain range, it is adopted mokka as the determination of normal and abnormal reference mokka standards. Question 2. Mortality ratio only shows the number of deaths from a disease in the share of total deaths, such as the need to compare several died of disease severity, should be calculated. Question 3 tables from the Fisher exact test applies to fourfold table in theoretical frequency is less than, or n <situations. mokka Question mokka 4. Statistics figures expressed in Arabic numerals. No figures with "" indicates, missing figure with the "" indicates. . Question 5, please write three kinds of multiple samples are several methods of multiple comparisons:,,. . Question 6 comparative analysis of separate or discrete variables in multiple groups or classes mokka of statistical mokka indicators should be selected diagram; mokka frequency distribution of numerical variables described should use diagram; describes a statistic with another continuous mokka numeric variables change change The trend should use map. Question 7 also known as variable values. Type of statistical analysis and data selection methods are closely linked. Data types are divided into: and _. Question 8 for explaining the relationship between two variables associated with a linear direction. Correlation, regression analysis should draw _ former. Questions China Medical University in July 2014 exam "Medical Statistics" short answer multiple choice questions test lesson subjective judgment fill in the blank question five essay questions, essay questions (of four questions, a total of 50 points) 1. Please describe the experiment mokka The basic principles of design. 2 What is a non-parametric test? What Wilcoxon signed rank test for? 3 (calculation problems, you can directly write the result) of a Chest Hospital, while A and B two-determination Act 202 sputum samples of acid-fast bacilli, and some results with: are two methods for determining the number of positive 49; , two methods were negative number 107; A method as positive, negative number B France 25. (1) Keep the above information organized into a suitable form of fourfold table.
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Discrimination and avoidance of errors in Figure 3 is not the


Discrimination and avoidance of errors in Figure 3 is not the "Group 5" specific meaning clear. When expression data with relative number, be sure to clear: when the relative number of "percentage (ie proportions)," when the relative number of "percentage." This example is written in proportions rather than percentages. A significant characteristic of the same composition ratio as a whole is the sum to be 100%, but the data displayed in FIG calculated, some percentage of the overall internal and is not equal to 100.0%. Figure 3: There are three sets of data, and were 99.5% (30.0% +27.0% +42.5%), 99.7% (0.0% +10.0% +89.7%), 104.0% (11.0% +39.0% dansk +54.0 %), these errors may be due to a clerical error. Figure 3 expression data suitable for use five groups "constitute map" to express, you can also double circle diagram circle diagram with five or composed by five percentage bar graph to express, but it does not fit with a double bar graph to express . Denominators dansk relatively small number of indicators in the control dansk group Pg-Np: s = 3.59 20 16.055 root is the arithmetic mean of 13.5 times its 1.19.
Scientific articles related to this article essay writing FAQs What other indicators in addition to the impact factor papers can be evaluated value ResearchGate FaceBook researchers use their own evaluation system to understand thesis Plum Metrics attention sharing use Altmetric evaluation system to understand the situation of concern about sharing case papers Examples of common errors Discrimination and examples of common errors one doubts straight Discrimination and doubts of the two statistics described the expression dansk of expression and description of statistical data related to the linear regression analysis of rational choice examples illustrate common errors and explain the experimental design types: reasonable selection of the type of experimental dansk design guidelines and how to choose a reasonable choice of design type instance experimental design types: factorial design rational selection and application examples of answers to the problems in a reasonable choice of experimental design types: orthogonal experimental design and application of rational choice exists Examples of questions answered correctly grasp the experimental design principles: the principle of proportionality and its role
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Latest articles on how to choose the right SCI journal articles were Contributor 2014/07/11 pheasant pheasant magazine publishers MedCrave and its predilection list 2014/07/10 biological SCI journal Archives of Biological Sciences 2014/07/09 pheasant Publishing Manufacturers Science Publishing Groupe magazine's list of its 2014/07/08 pheasant pheasant pheasant publisher JSciMed Central and its magazine list 2014/07/07


Sunday, July 13, 2014

EndNote (122) Import (37) Export (34) EndNote base (32) EndNote Error (25) Statistics ignis (21) Ou


Discrimination and avoidance of errors can be seen from Table 3: standard deviation for each group of data is greater than the arithmetic mean. Basic quantitative data in each group can be considered subject ignis to skewed distribution. "Mean standard error" is used to express a summary quantitative data were normally distributed, indicating the central tendency and dispersion tendency of its data distribution. This case is not suitable for the expression of these two methods, and thus patients can be seen: The "mean standard error of the" expression ignis quantitative data often has a "deceptive." Description skewed distribution of information should be used in the central tendency of the median (M), should be used to describe the discrete trend interquartile range (QR), in the form of "M (QR)", QR = Q 3-Q 1. The denominator is too small to observe the author of endothelin 1 in human oral submucous fibrosis tissue morphology positioning when calculating the relative number and to explore the relationship between ET1 and OSF lesions. Source: 10 cases of OSF patients were selected from Hunan Medical University Dental Clinic ignis from 1996 to 1997 patients treated, 9 males, 1 female, mean age was 31.0 years, duration of 1 month to 5 years. 5 cases of normal controls taken no betel nut, tobacco, alcohol addiction, healthy volunteers, 4 males and 1 female, mean age 24.8 years old, the data in Table 8.
Continue to browse articles ignis about statistics related articles and research papers writing this article FAQs What other indicators in addition ignis to the impact factor of the value of the paper can be evaluated ResearchGate researchers use Plum Metrics FaceBook ignis own evaluation system to understand the degree thesis concerns shared understanding of the situation assessment system utilization Altmetric Two examples of common errors and doubts of three straight Discrimination attention dissertation statistics statistics information sharing expression and describe examples of common errors Discrimination and Interpretation of expression and description associated with the linear regression analysis examples illustrate common errors experimental design and interpretation reasonable choice types: rational selection of the type of experimental design guidelines and how to choose a reasonable choice of design type instance experimental design types: factorial design rational selection and application examples of answers to the problems in a reasonable choice of experimental ignis design types: orthogonal experimental design reasonable choice and application examples of problems in answer correctly grasp the experimental design principles: the principle of proportionality and its role
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Saturday, July 12, 2014

ļ Ͽ á λ ķ λ ʾ ʽΪM(Q3-Q1) M Q


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ļ Ͽ á λ ķ λ ʾ ʽΪM(Q3-Q1) M Q һ ǵ λ һ Ⱥ һ ݱ һ ݱ С ݵ λ ķ ǣ е ݰ մ С С ݵĸ м Ǹ ݾ Ⱥ ݵ λ ݵĸ ż м 2 ݵ ƽ Ⱥ ݵ λ   ķ λ ķ λ ķ λ , ķ λ ɷ ӳ ȵĴ С. Q3 --Q1 ', blogTag:'', blogUrl:'blog/static/96823135201241432124941', isPublished:1, istop:false, type:0, modifyTime:1336980321694, publishTime:1336980321684, permalink:'blog/static/96823135201241432124941', commentCount:0, mainCommentCount:0, recommendCount:0, bsrk:-100, publisherId:0, recomBlogHome:false, currentRecomBlog:false, attachmentsFileIds:[], vote:{}, groupInfo:{}, friendstatus:'none', followstatus:'unFollow', pubSucc:'', visitorProvince:'', visitorCity:'', visitorNewUser:false, postAddInfo:{}, mset:'000', mcon:'', srk:-100, remindgoodnightblog:false, isBlackVisitor:false, isShowYodaoAd:false, hostIntro:'', hmcon:'1', selfRecomBlogCount:'0', lofter_single:' ' } {list a as x} {if !!x}
{if x.moveFrom=='wap'} lurch   {elseif x.moveFrom=='iphone'}   {elseif x.moveFrom=='android'}   {elseif x.moveFrom=='mobile'}   {/if} ${fn(x.visitorNickname,8)|escape} {/if} {/list} {if !!a} ${fn(a.nickname,8)|escape}
${x.referUserName|escape} {/list} {list a as x} {if !!x} ${x.title|default:""|escape} {/if} {/list} {list a as x} {if !!x} ${x.title|default:""|escape} {/if} {/list} {list a as x} {if !!x} ${x.blogTile|default:""|escape} {/if} {/list} {list a as x} {if x_index>4}{break}{/if} {if !!x} ${fn1(x.title,60)|escape} ${fn2(x.publishTime,'yyyy-MM-dd HH:mm:ss')} {/if} {/list} {list a as x} {if !!x} ${fn(x.title,26)|escape} {/if} {/list} {if !!(blogDetail.preBlogPermalink)}  
{list a as x} {if !!x} ${x.nickName|escape}   ͶƱ {var first_option = true;} {list x.voteDetailList as voteToOption} {if voteToOption==1} {if first_option==false},{/if}   ${b[voteToOption_index]}    {/if} {/list} {if (x.role!="-1") }, ${c[x.role]}   {/if}          ${fn1(x.voteTime)} {if x.userName==''}{/if} {/if} {/list}
- ϵ - Ƹ Ϣ - ͻ - - ͷ - - VIP -   Ĵ
${x.g} {list x.l as y} ${y.n} {/list} {/list} {if defined('wl')} {list wl as x} ${x.n} {/list} {/if}