Key Points A null hypothesis is the first form of hypothesis testing conducted. They rely on rejecting the null hypothesis to prove the hypothesis. They readily allow you to determine if your data ...

A null hypothesis is a type of statistical hypothesis that proposes that no statistical significance exists in a set of given observations.

Hypothesis testing allows for testing an idea regarding a parameter of interest in a particular population set, using information that has been measured in a sample set.

It equals 51.3708. If the actual sample mean of the random sample of size 36 is 51.3708 or greater, you reject the null hypothesis. The rejection region is shown in red in the next graph. Step 3: Take ...

If the P value is less than 5%, reject the null hypothesis; if the P value is .05 or more, don't reject the null hypothesis. Statistics textbooks -- and statisticians for that matter -- focus ...

You are now ready to perform statistical analysis of your results, but first, you have to choose a critical value at which to reject your null hypothesis.

Science could benefit from more reporting of null findings, even if the reports were briefer and had less detail than would be needed for peer review.