How to Interpret Results with a Given Significance Level?
Once you've set your significance level, interpreting the results becomes straightforward:
- P-Value: Compare the p-value obtained from your test to your significance level. If the p-value is less than the significance level, you reject the null hypothesis, indicating that your results are statistically significant. - Confidence Intervals: These provide a range of values within which you can be confident that the true effect lies. If your confidence interval does not include the null hypothesis value, your results are significant.