Assignment #5

Write all responses within this Word document and submit just this document.

Part 1

Respond to the following questions:

1. Explain the purpose of hypothesis testing?
2. Explain the relevance to hypothesis testing in your daily life? This could be school life, personal life, or work life.  Identify a topic where you feel hypothesis testing could help answer a question. Form one or several hypotheses with detailed explanations. Note that each hypothesis may only include one relationship with two variables to be tested.

I have provided an example:

Employee turnover is a ratio comparison of the number of employees a company must replace in a given time period to the average number of total employees. Employee turnover is a costly expense especially in lower paying job roles, for which the employee turnover rate is highest. Many factors play a role in the employee turnover rate of any company, and these can stem from both the employer and employees. In my organization, it seems like our emergency room suffers the most from employee turnover. Nurses in the ER department seem so unhappy and so over worked. They come and go like the seasons.

General hypotheses:

• Wages play a significant role in employee turnover.
• Company benefits play a significant role in employee turnover.
• Workloads play a significant role in employee turnover.
• Employee attendance plays a significant role in employee turnover.
• Job performance plays a significant role in employee turnover.

Part 2

Based on your topic and hypotheses in Part 1, respond to the following questions:

1. Describe your population.
2. Suppose that you are going to test the hypotheses with a sample. Select a sampling technique to collect and test data from your population. Justify why this sampling technique is appropriate. List the number of groups needed in your sample.
3. Develop three good survey questions or describe your experiment. Why will this process lead to valid and reliable data?
4. List all variables involved in the hypotheses.
5. Specify data levels of all involved variables.
6. Select appropriate statistical techniques that can be used to test your hypotheses.
7. Justify it.