Problem: State the null hypothesis where age at enrollment is used to predict the time for completion of an RN to BSN program.

Problem: Why have the values in the equation changed slightly from the first analysis?

Problem: Do the example data meet the assumptions for the independent samples t -test? Provide a rationale for your answer.

Problem: What are the means for two group’s wages earned?

Problem: Read the following article:

Kim, J.S., Chung, S.H., Park, Y.J., & Kang, H.Y. (2012). The effectiveness of an aquarobic exercise program for patients with osteoarthritis. Applied Nursing Research, 25 (3), 181-189. https://doi.org/10.1016/j.apnr.2010.10.001

• Define precisely the target population to which the statistical analysis can be generalized.
• List all dependent/outcome variables
  • Identify specifically how the researcher(s) operationalized it.
  • Identify the level of measurement.
• List the main independent/explanatory variable in the study.
• List all instances of t -tests in this article.
  • Formulate a null hypothesis for each test.
  • State in a sentence what the associated probability value indicates.
• In Table 5, the authors show "changes in dependent variables between the experimental and control groups"; however, the authors did not conduct paired t -tests, but independent-sample t -tests.
  • What outcome measures were compared across the two groups?
  • What are the possible ramifications of doing an inappropriate test?
• List the main independent/explanatory variable in the study.
• State the null hypothesis for each Pearson’s r correlation in Table 1.
  • What do the "statistically significant" findings imply?
• What evidence does the author provide that the assumptions of the linear regression model and the Pearson’s r correlation are met?

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Solution: The downloadable solution consists of 7 pages, 1408 words.
Deliverable: Word Document