A critical value is a point in a statistical distribution that helps to determine the threshold for making decisions about null and alternative hypotheses in hypothesis testing. It essentially divides the distribution into regions where you would accept or reject the null hypothesis. Here's how it generally works: 1. **Hypothesis Testing**: In hypothesis testing, you typically have a null hypothesis (H0) that represents a default position, and an alternative hypothesis (H1) that represents a new claim you want to test.

Articles by others on the same topic (0)

There are currently no matching articles.