What is hypothesis testing in R?
An example of an AI chatbot conversation about hypothesis testing in R.
What is hypothesis testing in R?
Hypothesis testing in R is a statistical method used to determine if there is enough evidence to reject a null hypothesis.
Can you explain the steps involved in hypothesis testing?
Sure! The steps include stating the null and alternative hypotheses, choosing a significance level, calculating a test statistic, and making a decision based on the p-value.
What are some common tests I can perform in R?
Common tests include t-tests, chi-squared tests, ANOVA, and regression analysis. Each serves different purposes.
How do I perform a t-test in R?
You can use the t.test() function in R. For example, t.test(x, y) compares the means of two groups.
Can you provide an example of a t-test in R?
Certainly! Here's a simple example: t.test(c(5, 6, 7), c(8, 9, 10)) compares the means of two numeric vectors.
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