The purpose of null hypothesis testing is simply to help researchers decide between these two interpretations. This paper will analyze raw data tables and the results of the Z-test using both graphical and tabular methods. In fact, any statistical relationship in a sample can be interpreted in two ways: There is a relationship in the population, and the relationship in the sample reflects this.
The experiment will also describe the results and findings of the hypothesis testing to answer the question above. You could say, "If there was --," this is what statisticians actually do, they often define a threshold.
Explain the purpose of null hypothesis testing, including the role of sampling error. This paper will share with you an insight as to what I learned over the past five weeks in Business Statistics.
If there were no sex difference in the population, then a relationship this weak based on such a small sample should seem likely. Let's call him Bill.
But just the opposite proved to be true. In layman's terms, hypothesis testing is used to establish whether a research hypothesis extends beyond those individuals examined in a single study. Then everyone's starting to get a little bit suspicious with Bill right over here.