**ATTACHED BELOW IS WORKSHEET AND EMAIL DOCUMENT**

**Wk 4: Plan Review**

**Write** a 700- to 1,050-word response to the former employee’s plan.

For each of the items in the first column of the table:

· Identify the employee’s plan.

· Discuss whether you think this is the correct plan.

· Describe any modifications you might make, if applicable.

EMAIL: **From**: Previous Employee <*[email protected]>***Sent**: September 30, 2020 9:41 AM**To:** New Employee <*email address unknown*>**Subject**: Plan for Analysis of Desirability Survey

Hi New Employee,

I didn’t get a chance to meet you before I left my position, but I wanted to leave you some of my ideas for analyzing the results of the desirability survey. I’m not really sure if they will be helpful. Actually, it might be a good idea to check for errors since statistics were never one of my strengths. Nevertheless, I think this plan can save you some time and use the information to support the organization!

For what it is worth, here is my proposal for data analysis:

The purpose of the analysis will be to understand the desirability of professional development amongst staff members and if there are differences in desirability between managers and employees.

To investigate this, first I will use a chart to visually represent the data. I think using a pie chart will help me see the data the best because I can see, visually, if anything looks different between the two groups. After visually inspecting the data on my pie chart, I will compute the mean, median, mode, and standard deviation of the manager and employee groups’ responses. I will compare these values and determine if I need to run a t-test to see if there are differences between the groups.

Frankly, I can’t really remember what differences the t-test will test for. But I think it is differences in the standard deviations. I get a little confused about if I should be choosing a one-tailed (directional) or two-tailed (non-directional) t-test. Since I’m not really sure which group might be higher or lower than the other, I think I will choose a non-directional test. I will conduct the t-test using Microsoft Excel.

After running the t-test, I need to decide if the results are statistically significant. To so this, I will look for the *p* value associated with the t-test to determine if the differences between the two groups are able to be inferred to the population (I am considering the rest of the employees and managers at the organization who didn’t take the test to be that population). If the *p* value is less than 0.08, I will be able to infer the results to the population (I will be testing at an alpha of 0.05). From this information, I will be able to tell our supervisors a few things: (1) If people even find professional development desirable and (2) if employees and managers see professional development as the same desirability.

I hope this is useful. I apologize that I couldn’t get further along in the analysis before leaving the company!

Regards,

Previous Employee