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Hypothesis Testing for Two Related (Paired) Populations . You may use a computer program of your choice. Choose a variable that will allow the use

Hypothesis Testing for Two Related (Paired) Populations.

You may use a computer program of your choice.

Choose a variable that will allow the use of related samples. For example, you might wish to see if a persons' self-assurance has increased after meditation, or a person's skill has improved after a therapy, etc. Please do not choose a variable that is presented in the Learning Unit 5 materials (breeze, instructor's prompt, examples taken on lectures)

Select a sample of data (10 to 20) value pairs (e.g. before and after), and then complete the following:

HYPOTHESIS TEST & CONFIDENCE INTERVAL ESTIMATION

For A grade level,show the text and requests for Project 5 as well as the detailed computations in equation editor.Please present a brief written conclusion in the context of the project for each request you compute. Post timely.

You must show the sample of data from the population that you analyze. Presenting only the conclusions to your analysis, without showing your work, is considered insufficient. The project, must present authentic data and provide the link to the source of the data you examine.

Choose a variable that will allow the use of paired samples. For example, you might wish to see if a persons' proficiency at softball has changed/improved after a training camp. Do not use variables that are presented in the course in order to illustrate the concept. Select a sample of data (10 to 20) value pairs (e.g. before and after), and then complete the following:

The Instructor's Prompt "TWO SAMPLE TESTS", pages 16 to 24 Paired Populations, shows an upper tail evaluation, lower tail evaluation, two-tail evaluation, you will see a model of exactly what you are asked to do.

  1. Write brief statement of the purpose of the study?
  2. Define the population. What was the population?
  3. State the hypothesis for the study.
  4. Select a level of significance.
  5. State how the sample was selected.
  6. Show the raw data.
  7. Decide which statistical test is appropriate and compute the test statistic (z or t). Why is the test appropriate?
  8. Find the critical value(s).
  9. Show the test with complete computation of all underlying statistics such as the difference in pairs, the standard deviation of the differences in pairs.
  10. State the decision.
  11. State the conclusion. Summarize the results.
  12. Show the confidence interval for the analysis.
  13. State the conclusion for the confidence interval and overall analysis you performed.

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