Data analysis and statistics
1. What are the assumptions for a t-test? How should these be run? Do you want to see a p value of <0.05? Why or why not? (50-80 words). Include citation
2. Assume you want to do a project that compares the survey results before an intervention to those after an intervention in the same sample (the same people will take both surveys). You plan to use a paired t-test to analyze your results. Identify and select a tool of your choice to conduct the sample size calculation. You may use your SPSS. Perform a sample size calculation to determine how large your sample should be. Justify your sample size calculation with citations. Discuss how your sample size may affect the validity of your project. (80-100 words). Include citation
3. Review the types of data that are considered protected health information (PHI). Which data needs to be collected in assessing the diabetes self-care management of a diabetic patient? How would the collection of this data affect your project (whether you plan to collect it or not)? (50-80 words). Include citation
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