What are the different types of statistical tests?
An example of an AI chatbot conversation about statistical test types.
What are the different types of statistical tests?
There are several types of statistical tests, including t-tests, chi-square tests, ANOVA, and regression analysis. Each serves different purposes.
Can you explain when to use a t-test?
A t-test is used to compare the means of two groups to see if they are statistically different from each other.
What about ANOVA? When should I use that?
ANOVA, or Analysis of Variance, is used when comparing the means of three or more groups to determine if at least one group mean is different.
Are there any non-parametric tests?
Yes, non-parametric tests like the Mann-Whitney U test and Kruskal-Wallis test are used when data doesn't meet parametric test assumptions.
How do I choose the right test for my data?
Choosing the right test depends on your data type, distribution, and the number of groups you're comparing. It's essential to understand your data first.
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