## Rejection of the null hypothesis is a conclusion.

### Hypothesis Testing Explained - Statistica

Now that you know the null and alternative hypothesis, did you think about what the type 1 and type 2 errors are? It is important to note that Step 1 is before we even collect data. Identifying these errors helps to improve the design of your research study. Let's write them out:

### If it is falseI rewrite it as a true statement

Considering , it can be seen that does not lie in the acceptance region of . The null hypothesis, , is rejected and it is concluded that is significant at . This conclusion can also be arrived at using the value noting that the hypothesis is two-sided. The value corresponding to the test statistic, , based on the distribution with 14 degrees of freedom is:

**Step Four**: **Interpret what the p-value is telling you** and

**make a decision using the**. Does the null hypothesis provide a reasonable explanation of the data or not? If not it is statistically significant and we have evidence favoring the alternative. State a conclusion in terms of the problem.

*p*-value