Once you have made your corrections, you will compile your information from Phase 1, Phase 2, Phase 3 and your final conclusion into one submission and submit this as your rough draft for Phase 4 of the course project. Below is a summary of the expectations for Phase 4 of the course project:

1. Introduce your scenario and data set.
• Provide a brief overview of the scenario you are given above and the data set that you will be analyzing.
• Classify the variables in your data set.
• Which variables are quantitative/qualitative?
• Which variables are discrete/continuous?
• Describe the level of measurement for each variable included in your data set.

1. Discuss the importance of the Measures of Center and the Measures of Variation.
• What are the measures of center and why are they important?
• What are the measures of variation and why are they important?

1. Calculate the measures of center and measures of variation. Interpret your results in context of the selected topic.
• Mean
• Median
• Mode
• Midrange
• Range
• Variance
• Standard Deviantion

1. Discuss the importance of constructing confidence intervals for the population mean.
• What are confidence intervals?
• What is a point estimate?
• What is the best point estimate for the population mean? Explain.
• Why do we need confidence intervals?

1. Based on your selected topic, evaluate the following:
• Find the best point estimate of the population mean.
• Construct a 95% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown.
• Please show your work for the construction of this confidence interval and be sure to use the Equation Editor to format your equations.
• Write a statement that correctly interprets the confidence interval in context of your selected topic.

1. Based on your selected topic, evaluate the following:
• Find the best point estimate of the population mean.
• Construct a 99% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown.
• Please show your work for the construction of this confidence interval and be sure to use the Equation Editor to format your equations.
• Write a statement that correctly interprets the confidence interval in context of your selected topic.

1. Compare and contrast your findings for the 95% and 99% confidence interval.
• Did you notice any changes in your interval estimate? Explain.
• What conclusion(s) can be drawn about your interval estimates when the confidence level is increased? Explain.

1. Discuss the process for hypothesis testing.
• Discuss the 8 steps of hypothesis testing?
• When performing the 8 steps for hypothesis testing, which method do you prefer; P-Value method or Critical Value method? Why?

1. Perform the hypothesis test.
• If you selected Option 1:
• Original Claim: The average salary for all jobs in Minnesota is less than $65,000.
• Test the claim using α = 0.05 and assume your data is normally distributed and σ is unknown.
• If you selected Option 2:
  • Original Claim: The average age of all patients admitted to the hospital with infectious diseases is less than 65 years of age.
  • Test the claim using α = 0.05 and assume your data is normally distributed and σ is unknown.
• Based on your selected topic, answer the following:
• 1. Write the null and alternative hypothesis symbolically and identify which hypothesis is the claim.
  2. Is the test two-tailed, left-tailed, or right-tailed? Explain.
  3. Which test statistic will you use for your hypothesis test; z-test or t-test? Explain.
  4. What is the value of the test-statistic? What is the P-value? What is the critical value?
  5. 5.) What is your decision; reject the null or do not reject the null?
     1. Explain why you made your decision including the results for your p-value and the critical value.
  6. State the final conclusion in non-technical terms.

1. Conclusion
• Recap your ideas by summarizing the information presented in context of your chosen scenario