What are the different types of hypothesis tests?
An example of an AI chatbot conversation about types of hypothesis tests.
What are the different types of hypothesis tests?
There are several types of hypothesis tests, including t-tests, chi-square tests, ANOVA, and z-tests. Each serves different purposes.
Can you explain the t-test and when to use it?
A t-test is used to compare the means of two groups. It's appropriate when the sample size is small and the population standard deviation is unknown.
What about the chi-square test?
The chi-square test is used to determine if there's a significant association between categorical variables. It's useful for analyzing frequency data.
How does ANOVA differ from t-tests?
ANOVA, or Analysis of Variance, is used when comparing means across three or more groups, while t-tests are limited to two groups.
Can you give me an example of when to use a z-test?
A z-test is used when the sample size is large (typically over 30) and the population standard deviation is known, such as in quality control.
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