ABSTRACT
In Part V, statistical tests of null hypotheses for different types of data were presented. The statistical tests were the z test, chi-square test, t test, analysis of variance, correlation, and linear regression. The outcomes of the statistical tests were to either retain the null hypothesis or reject the null hypothesis in favor of an alternative hypothesis based on the significance of the statistic computed. Type I and Type II errors were illustrated to better understand the nature of falsely rejecting the null hypothesis or falsely retaining the null hypothesis at a given level of significance for the sample statistic. The level of significance or p value that we choose, i.e., .05 or .01, to test our null hypothesis has come under scrutiny due to the nature of statistical significance testing.
