In this module you will begin working on Phase 2 of your course project. Using the same data set and variables for your selected topic, add the following information to your analysis:
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?
2. 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, the population standard deviation, 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.
3. 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, the population standard deviation, 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.
4. 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.
In this module you will begin working on Phase 3 of your course project. Using the same data set and variables for your selected topic, add the following information to your analysis:
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?
2. 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, the population standard deviation, 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, the population standard deviation, is unknown.
· Based on your selected topic, answer the following:
3. Write the null and alternative hypothesis symbolically and identify which hypothesis is the claim.
3. 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.
3. What is the value of the test-statistic? What is the P-value?
3. What is the critical value?
3. What is your decision; reject the null or do not reject the null?
3. Explain why you made your decision including the results for your p-value method or the critical value method.
3. State the final conclusion in non-technical terms.
Please show your work for the construction of the test-statistic and explain your process for finding the p-value and critical value. Be sure to use the Equation Editor to format your equations.