The Mann-Whitney U Test is a nonparametric version of the independent samples t-test
The Mann-Whitney U Test is a nonparametric version of the independent samples t-test. The test primarily deals with two independent samples that contain ordinal data. The following example explained the comparison between the nonparametric versus parametric tests. 1. Select the best choice for the analysis and explain the reason. 2. Review Module 4, if needed. […]
Using the below dataset calculate in Excel; R and p-value to determine the power of association
Using the below dataset calculate in Excel; R and p-value to determine the power of association and if your calculations are statistically significant. V1 (Input Y Range) (Dependent Variable) V2 (Input X Range) (Independent Variable) 12 45 15 54 17 61 13 51 18 70 20 73 22 71 18 66 25 106 Hint: Excel […]
Consider how to manage yourself before you can really manage others
As such, you need to consider how to manage yourself before you can really manage others. You need to think about what your personal and professional stress levels are–what might be the breaking points between succeeding and failing? How can I manage that stress? What emotions come to light that could be viewed as positive […]
Recall a time when you were involved with a conflict in the workplace or witnessed a conflict at work
Recall a time when you were involved with a conflict in the workplace or witnessed a conflict at work. This situation should be one that involves a relationship of some kind (i.e. manager-employee, employee-employee, etc.) where a conflict occurred. Think about how this experience could have been improved if you had a mentor or coach […]
Explain the statistical analyses that you will use to analyze the data in order to answer each of your evaluation questions.
How will you determine which statistical analyses you will use to answer your evaluation question? In your response, explain how you will decide between a paired samples t-test and the Wilcoxon Signed-Rank test. This includes checking whether your pre–post difference scores meet basic assumptions (such as approximate normality) and then selecting the test that best […]