BUS-352 Module 7 Chapter 10 (Part 1) Problem Set – Problems 10.10, 10.17, 10.26, and 10.46

BUS-352 Module 7 Chapter 10 (Part 1) Problem Set 

Business Statistics – Hypothesis Testing With Two Samples

Grand Canyon University


Text book: Business Statistics: A First Course (6th Edition)


Complete problems 10.10, 10.17, 10.26, and 10.46 in the textbook.

Submit one Excel file. Put each problem result on a separate sheet in your file.


10.10 The Computer Anxiety Rating Scale  (CARS) measures an individual’s level of computer anxiety, on a scale from 20 (no anxiety) to 100 (highest level of anxiety). Researchers at Miami University administered CARS to 172 business students. One of the objectives of the study was to determine whether there is a difference in the level of computer anxiety experienced by female and male business students. They found the following:                

Males Females                 

¯X 40.26 36.85                   

S 13.35 9.42                        

n 100 72                               

a. At the 0.05 level of significance, is there evidence of a difference in the mean computer anxiety experienced by female and male business students?                    

b. Determine the p-value and interpret its meaning.                      

c. What assumptions do you have to make about the two populations in order to justify the use of the t test?                   


10.17 Nondestructive evaluation is a method that is used to describe the properties of components or materials without causing any permanent physical change to the units. It includes the determination of properties of materials and theclassification of flaws by size, shape, type, and location. This method is most effective for detecting surface flaws and characterizing surface properties of electrically conductive materials.  Data were collected that classified each component as having a flaw or not, based on manual inspection and operator            judgment, and the data also reported the size of the crack in the material. Do the components classified as unflawed have a smaller mean crack size than components classified as flawed? The results in terms of crack size (in inches) are                                                                                                      

stored in Crack. (Data extracted from B. D. Olin and W. Q.  Meeker, “Applications of Statistical Methods to Nondestructive Evaluation,” Technometrics, 38, 1996, p. 101.)                                                                    

a. Assuming that the population variances are equal, is there evidence that the mean crack size is smaller for the unflawed specimens than for the flawed specimens? (Use α =0.05)

 b. Repeat (a), assuming that the population variances are not equal.                                                     

c. Compare the results of (a) and (b).    


10.26 The data in Concrete1 represent the compressive  strength, in thousands of pounds per square inch (psi), of 40 samples of concrete taken two and seven days after pouring.  Source: Data extracted from O. Carrillo-Gamboa and R. F. Gunst,  “Measurement-Error-Model Collinearities,” Technometrics, 34, 1992,                                                                                                    

pp. 454–464.     

a. At the 0.01 level of significance, is there evidence that the mean strength is lower at two days than at seven days?                                                                                                               

b. What assumption is necessary about the population distribution in order to perform this test?             

c. Find the p-value in (a) and interpret its meaning.         



¯X 40.26 36.85                                                                                                                                                   

S 13.35 9.42                                                                                                                                                        

n 100 72                                                                                                                                                               

Source: Data extracted from T. Broome and D. Havelka, “Determinants of Computer Anxiety in Business Students,” The Review of Business Information Systems, Spring 2002, 6(2), pp. 9–16.                                                                                                                                                    

a. At the 0.05 level of significance, is there evidence of a difference in the variability of the computer anxiety experienced by males and females?                                                                                                                                                      

b. Interpret the p value.                                                                                                                                                              

c. What assumption do you need to make about the two populations in order to justify the use of the F test?                                                                                                                                                   

d. Based on (a) and (b), which t test defined in Section 10.1 should you use to test whether there is a significant difference in mean computer anxiety for female and male students                                                                                                                                                             



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