What are the different methods of hypothesis testing?
An example of an AI chatbot conversation about hypothesis testing methods.
What are the different methods of hypothesis testing?
There are several methods of hypothesis testing, including t-tests, chi-square tests, ANOVA, and z-tests. Each method is used based on the data type and research question.
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 appropriate when the sample sizes are small and the population standard deviation is unknown.
What about the chi-square test?
The chi-square test is used to determine if there is a significant association between categorical variables. It's commonly used in surveys and experiments.
How do I choose the right test for my data?
Choosing the right test depends on your data type (categorical or continuous), the number of groups you're comparing, and whether the data meets certain assumptions like normality.
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