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One-Proportion Z-Test in R: Compare an Observed Proportion to an Expected One; Two Proportions Z-Test in R: Compare Two Observed Proportions; Chi-Square Goodness of Fit Test in R: Compare Multiple Observed Proportions to Expected Probabilities; Chi-Square Test of Independence in R: Evaluate The Association Between Two Categorical Variables

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Chi-Square Test. Single: 47 Married: 71 Divorced: 35. This test only works for categorical data (data in categories), such as Gender {Men, Women} or color {Red, Yellow, Green, Blue} etc, but not numerical data such as height or weight.

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to strata, usual chi-square test of homogeneity fine – But may want to test association between other (non-strata) factors • In general, stratification increases precision of estimates – E.g., stratified sample of size n gives same precision for estimating pij as a SRS of size n / dij, where dij is the design effect 26

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套路 32: 比較多組比例 (Comparing Multiple-Proportions) 1. 使用時機 : 用於比較觀測到的多組比例 (proportion) ，多組 二分變量 (dichotomous variables) 分析 。 二分變量是結果只有兩種的...

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Calculate P from t, z, r, F or chi-square, or vice-versa. View Binomial, Poisson or Gaussian distribution. Correct a P value for multiple comparisons and Bayes. Interpret a P value (correct for multiple comparisons and prior probability). Compare two fits with F test or AICc.

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MedCalc uses the "N-1" Chi-squared test as recommended by Campbell (2007) and Richardson (2011). The confidence interval is calculated according to the recommended method given by Altman et al. (2000). Literature. Altman DG, Machin D, Bryant TN, Gardner MJ (Eds) (2000) Statistics with confidence, 2 nd ed. BMJ Books. (p. 49)