Discuss the differences between parametric and non-parametric statistics and which to use for the signature assignment.

This is my final paper (“Signature Assignment”) for my MBA course, Marketing Research. The objective is to continue to build on the research I started in the midterm paper (“Case Assignment”) to develop a complete Marketing Research paper. I have attached the full assignment, as well as my Case Assignment paper for reference. Here are topics that need to be covered that we learned during the course: Quantitative and Qualitative methods- Secondary Research- Surveys- Focus Groups- Interviews- Experiments & Field Trials- Observation Basic Statistics and Sampling- Random and Stratified Sampling- For the assignment, it would make sense to use stratified sampling of the target groups- The differences between mean, median, and mode, and which can be used for the assignment. Hypothesis Testing Procedures- Null Hypothesis and Alternative Hypothesis- Differentiation Between Tests: The Z-test of a mean; t-test; Chi-square one sample test; The McNemar test; Kolmogorov-Smirnov one simple test. State at least 2 types that can be used for the signature assignment.- Differences between parametric and non-parametric statistics and which to use for the signature assignment. Here’s a snippet that I wrote for a discussion post:For the signature assignment, its best to use a non-parametric test because we will be assessing group medians of our participants salaries. Also, non-parametric tests can analyze ordinal and ranked data, and not be tripped up by outliers like a parametric test would. Finally, were using a Likert scale in our survey, which can be assessed with non-parametric tests for accuracy with ordinal data that do not assume a normal distribution.

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