A: Use Minitab to answer the following: The National Institute of Diabetes and Digestive and Kidney Diseases reports that the average cost of bariatric (weight loss) surgery is about $22,500. You think this information is incorrect. You randomly select 30 bariatric surgery patients and find that the average cost for their surgeries is $21,545 with a standard deviation of $3015. Is there enough evidence to support your claim with a level of significance of 0.05? Us a P-value. 

#1 State the null and alternative hypothesis (and indicate which is the claim). 

#2 Click STAT then BASIC STATISTCS then 1-SAMPLE Z. click on SUMMARIZED DATA. Enter 30 for SAMPLE SIZE, 21,545 for MEAN, 3015 for STANDARD DEVIATION and 22500 for TEST MEAN. You will perform a two tailed test since the claim is different or not equal to $22,500. Click on OPTIONS and set ALTERNATIVE to “NOT EQUAL”. Click OK twice and the results should be displayed in the session window. Copy and paste all of this into your word document. 

#3 Determine if you should reject or fail to reject the null hypothesis. Justify your choice and explain what the results mean.

Part B: Use Minitab to answer the following: The lengths of time (in years) it took a random sample of 32 former smokers to quit smoking permanently are found in worksheet Ex 7_2-33, which is found in ch07 MINITAB folder. At α=0.05, is there enough evidence to reject the claim that mean time it takes smokers to quit smoking permanently is 15 years? 

#1 State the null and alternative hypothesis (and indicate which is the claim). 

#2 Click on CALC then COLUMN STATISTICS. Select STANDARD DEVIATION for the STATISTCS to be calculated and enter C1 for the INPUT VARIABLE. Click OK and the standard deviation will be in the session window. You will enter this value in the input screen for the 1 Sample z Test. #3 Click on STAT then BASIC STATISTCS then 1-SAMPLE Z . Enter C1 (Years) in the box under “One or more samples, each in a column” , then your STANDARD DEVIATION that you calculated and CHECK PERFORM HYPOTHESIS TEST.