What are the different types of hypothesis testing?
An example of an AI chatbot conversation about hypothesis testing types.
What are the different types of hypothesis testing?
There are several types of hypothesis testing, 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 to see if they are statistically different from each other. It's ideal for small sample sizes.
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 great for survey data.
How does ANOVA differ from a t-test?
ANOVA, or Analysis of Variance, is used when comparing three or more groups, while a t-test is for two groups.
Can you give me an example of when to use a z-test?
A z-test is used when you have a large sample size (typically over 30) and know the population variance, often in quality control.
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