Descriptive Statistics & Hypothesis Development

1. Think about the organization you work at. If you don't currently work, you can think about a recent employer, or if you've never worked consider an organization you are familiar with.
   1. What are two key areas that you think the organization struggles with?
   2. Develop one hypothesis and one research question focused on the topic(s) you've identified.
   3. Develop three additional hypotheses, and provide justification for each hypothesis, for each of the following stages of the employee lifecycle at the organization you work for/recently worked for/are familiar with:
      1. Hiring process
      2. Current employees
      3. Exiting the organization
2. Provide an example of the following types of data & indicate what type of descriptive statistic you would most likely use to summarize that data. Do not to use the examples listed in the slides:
   1. Binary
   2. Nominal
   3. Ordinal - That should be treated as categorical
   4. Ordinal - That should be treated as continuous
   5. Interval
   6. Ratio
3. Briefly explain why it is important to differentiate between categorical and continuous data?

Reference: Handbook of Regression Modeling in People Analytics. McNulty, K. (2021).