# Grand Canyon BUS 352 Week 8 Problem Set and DQs

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Grand Canyon BUS 352 Week 8 Problem Set and DQs

Grand Canyon BUS 352 MOD 8 DQ 1

A market researcher is interested in knowing the type of training that works best for DVD users. Thirty consumers are randomly selected from a population of known DVD owners (i.e., users). Ten users are trained by giving them the DVD user’s manual and allowing them to read it. Another 10 users are trained from a 30 minute DVD user training video. Another 10 users are trained from a self-paced computer tutorial. The users are then timed in their ability to setup and program the DVD by performing a series of operations. Which statistical analysis technique should be used? What is the null hypothesis? Can the market researcher get an answer? Why or why not?

Grand Canyon BUS 352 MOD 8 DQ 2

A client gives you a data set of 30 observed values that represent the number of gallons of gas that 30 individual Nissan Sentra owners purchased at the gas pump last month. Your client wants to know if the data set represents a normal distribution. Which statistical analysis technique should be used? What is the null hypothesis? Can an analysis be performed? Why or why not?

Grand Canyon BUS 352 Week 8 Problem Set 8
Details:
Complete exercises 10.55, 10.57 (parts a and b only), 10.59 (part a only), 10.61 (part a only). You will need:• For 10.59, the “ERWaiting” file.• For 10.61, the “Coffee Sales” file.

Exercises 10.59 and 10.61 require the use of the “One-Way ANOVA” function within the Data Analysis menu in Excel. Refer to Appendix E10 for instructions on using Excel for these exercises.

Complete exercise 11.25

Complete exercises 12.1, 12.4, 12.9, 12.17, 12.21, 12.43 (assume “Calories” is the “x” variable and “Fat” is the “y” variable). You will need:

• For 12.4, the “Pet Food” file.

• For 12.9, the “Rent” file.

• For 12.17, the “Restaurants” file.

• For 12.21, the “Rent” file.

• For 12.43, the “Restaurants” file.

Exercises 12.17, 12.21, and 12.43 require the use of the “Regression” function within the Data Analysis menu in Excel. Refer to Appendix E12 for instructions on using Excel for these exercises.

For problems requiring computations, please ensure that your Excel file includes the associated cell computations and/or statistics output; this information is needed in order to receive full credit on these problems