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A test (typically of distribution, independence, or goodness of fit), for the family of distributions use [chi-squared-distribution].

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Dealing with missing data when both outcome and covariates are missing

What I would do to assess the type of missingness is partition your results into four groups: complete cases, first answer blank, second answer blank, both answers blank. In complete case set, look a …
Matt Brems's user avatar
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1 vote
Accepted

How could I improve upon a chi-square test to measure the similarity of two distributions?

The chi-squared test only tests whether an association exists between your categorical variables; it doesn't test for a particular association. There may be a derivative of the chi-squared test design …
Matt Brems's user avatar
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1 vote

Chi-squared test not meeting assumptions

Recall that the assumption is that each cell has an expected count of at least 5. (The expected count in each cell is $\frac{\text{row total}\times\text{column total}}{\text{table total}}$.) If this …
Matt Brems's user avatar
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1 vote

Fisher and chi-squared assumptions/limitations not met

How far above 1,000 is your sample size? If it's not far above 1,000, you can use Fisher's exact test - it's simply recommended that you don't because of computational limitations. If Fisher's exact …
Matt Brems's user avatar
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45 votes
Accepted

A/B tests: z-test vs t-test vs chi square vs fisher exact test

We use these tests for different reasons and under different circumstances. $z$-test. A $z$-test assumes that our observations are independently drawn from a Normal distribution with unknown mean and …
Matt Brems's user avatar
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