Provides background information about the research. Gives a written statement about the main research hypothesis. Gives the formal statistical hypothesis.15.0 pts
Analysis of Statistical Significance :Discussion of potential consequences of type I error. Explains what an appropriate level of significance would be based on these consequences. Gives any published p-values with an explanation about how they related to the overall statistical hypothesis.20.0 pts
Sampling Design Analysis :Explanation of the researchers’ sampling design. Identifies explanatory, response and potential confounding variables. Explanation of how probability sampling was incorporated and how this is related to potential sampling bias. Discussion of sample size and whether the sample size is appropriate. Analysis of how the data used in study are either sound and reliable or how the data are likely biased.20.0 pts
Study Design Analysis:Explanation of whether the study is observational or experimental in nature. Discussion of whether the statistical hypothesis involves a cause/effect relationship between the explanatory and response variables. Identifies potential confounding variables. In the case of a cause/effect relationship, give a explanation of how 20.0 pts
Conclusion: Explains the difference between the quantity and quality of information provided in the media and peer-reviewed journal article. Explains how and why from a statistical standpoint the research should either is credible or suspect. Includes final thoughts on the study and publications.
Sample Solution
