Froge's Guide to Hypothesis Testing 🐸

Understanding Hypothesis Testing

Hypothesis testing is a statistical method that helps you decide whether to accept or reject a hypothesis based on sample data. It's a core technique to analyze data, make predictions, and derive conclusions.

Here's how you can perform a simple hypothesis test:

1. Define the null hypothesis (H₀) and the alternative hypothesis (H_a).
2. Determine a significance level (α), such as 0.05.
3. Calculate the test statistic using your sample data.
4. Find the p-value and compare it with α.
5. If the p-value is less than or equal to α, reject the null hypothesis.

For more details, see our extended resources on statistics.