The purpose of statistics is to produce study results from a sample and to allow the researcher to infer them to the population where the sample was taken. Inferential statistics are the techniques that allow for this type of generalization to occur. The methods of inferential statistics include estimating population parameters from sample statistics and testing statistical hypotheses. Common testing methods are t-test, analysis of variance (ANOVA), analysis of covariance (ANCOVA), simple and multiple linear regressions, chi-square test, and simple and multiple logistic regressions. The variable type or level of measurement for the dependent variables and independent variables influence the selection of the testing methods.
For this Discussion, review the inferential statistics you are using for your Scholar Practitioner Project.
Post a description of the statistics you will include in your inferential analysis for your Scholar Practitioner Project. Explain the rationale behind using these specific statistics, including what statistics you chose not to use and explaining why. Support your response