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

2. 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

3. 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 Deviation

4. 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?

5. 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 Ïƒ 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.

6. 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 Ïƒ 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.
• 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.

8. 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?

9.Perform the hypothesis test

• 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 Î± = 0.05 and assume your data is normally distributed and Ïƒ is unknown.