Welcome to Hypothesis Testing in Statistics!

Understanding Hypothesis Testing

Hypothesis testing is a statistical method that uses sample data to evaluate a hypothesis about a population parameter. The process involves several key steps:

1. Formulate the null hypothesis (H₀) and the alternative hypothesis (H_a).
2. Choose a significance level (α), often 0.05.
3. Determine the appropriate test statistic.
4. Calculate the p-value based on the test statistic.
5. Make a decision: if the p-value is less than α, reject the null hypothesis.

For more detailed reading and examples, visit our Comprehensive Guide to Hypothesis Testing.