week 5 Assignment

Instructions

Assignment: Evaluating Significance of FindingsPart of your task as a scholar-practitioner is to act as a critical consumer of research and ask informed questions of published material. Sometimes, claims are made that do not match the results of the analysis. Unfortunately, this is why statistics is sometimes unfairly associated with telling lies. These misalignments might not be solely attributable to statistical nonsense, but also user error. One of the greatest areas of user error is within the practice of hypothesis testing and interpreting statistical significance. As you continue to consume research, be sure and read everything with a critical eye and call out statements that do not match the results.For this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this weeks Learning Resources and select two of the four scenarios for this Assignment.For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.

Answer

Week 5 AssignmentEvaluating statistical significance as well as the meaningfulness of sample statements is important when it comes to hypothesis testing and interpretation of data. In week 5, several scenarios were identified regarding learning resources on Skill Builder and Evaluation of P values. In this case, I selected two scenarios for analysis in this paper. In the first scenario, the sample size used was randomly selected. The random selection involved sampling the data set by simple or cluster sampling techniques (Wagner, 2016). Through this method, a sample size of 10 was selected for the first scenario. The primary aspect of the sample is that the selected data has no significant difference to the unselected observations. Through simple random sampling techniques, each population...
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