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A test (typically of distribution, independence, or goodness of fit), for the family of distributions use [chi-squared-distribution].
2
votes
Accepted
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 …
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 …
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 …
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 …
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 …