What are the steps involved in hypothesis testing?

What are the steps involved in hypothesis testing?

Hypothesis testing typically involves the following steps: 1) State the null and alternative hypotheses, 2) Choose a significance level, 3) Collect data, 4) Calculate the test statistic, 5) Determine the p-value, and 6) Make a decision regarding the null hypothesis.

Can you explain the null and alternative hypotheses?

Sure! The null hypothesis (H0) is a statement that there is no effect or no difference, while the alternative hypothesis (H1) suggests that there is an effect or a difference.

What does the significance level mean?

The significance level, often denoted as alpha (α), is the probability of rejecting the null hypothesis when it is actually true. Common values are 0.05 or 0.01.

How do I calculate the p-value?

The p-value is calculated based on the test statistic and the distribution of the data. It represents the probability of observing the data, or something more extreme, under the null hypothesis.

What should I do if the p-value is less than the significance level?

If the p-value is less than the significance level, you reject the null hypothesis, suggesting that there is enough evidence to support the alternative hypothesis.