BUS 352 Grand Canyon Entire Course
BUS352
BUS 352 Grand Canyon Module 1 Discussion 1
The media often attempts to predict the outcome of national
elections. Why are they often wrong? Based on the concepts presented in this
module’s readings, how could the system be improved?
BUS 352 Grand Canyon Module 1 Discussion 2
In conducting a survey, what do you think is even more important
than the size of the sample? Why?
BUS 352 Grand Canyon Module 2 Discussion 1
Referring to Chapter 2 Excel Guide, EG2, Section EG2.5 in the
text, create a histogram on some sample data using Microsoft Excel. Post your
file to the Discussion Forum in response to this DQ. What are some specific
challenges related to creating a histogram in Microsoft Excel?
BUS 352 Grand Canyon Module 2 Discussion 2
What ethical issues should you consider when creating a graph of
data?
BUS 352 Grand Canyon Module 3 Discussion 1
Assume the financing gurus of a weekend investment television
program predicted a 50% chance of XYZ stock gaining in January and a 50% chance
of gaining in February. Your financial advisor sees this and tells you there is
a 100% chance XYZ stock will gain over the 2month period. Would you continue
to use this financial advisor? Explain.
BUS 352 Grand Canyon Module 3 Discussion 2
Marie claims she can predict the sex of pregnant women’s babies.
She sees 1,000 women a year, and she always predicts a female. She charges
$1,000 for a prediction, and she always predicts a female (although clients do
not know that). When she is wrong, she offers a doubleyourmoney back
guarantee. Since the chance of having a female is approximately 50%, how can
she earn any money?
BUS 352 Grand Canyon Module 4 Discussion 1
Provide some examples of discrete and continuous variables. What
attributes of these variables make them discrete and continuous? Why?
BUS 352 Grand Canyon Module 4 Discussion 2
Describe the term mutually exclusive. Provide some examples. Must
the values of x in a discrete probability distribution always be mutually
exclusive? Why or why not? Provide an example.
BUS 352 Grand Canyon Module 5 Discussion 1
You just saw an ad on television that states the majority of the
population would vote to make smoking illegal. The poll that is referenced
shows 53% of those asked supported making smoking illegal. In the fine print at
the bottom of the screen, you see that the margin of error is +/ 3%. What is
your reaction? Explain.
BUS 352 Grand Canyon Module 5 Discussion 2
Many people believe that a larger sample is always better. What do
you think? Explain.
BUS 352 Grand Canyon Module 6 Discussion 1
Your mayor just announced that the local unemployment rate dropped
last month from the prior month. It went from 10.5% to 10.4%. Is this a
significant drop? Explain.
BUS 352 Grand Canyon Module 6 Discussion 2
Give an example of a situation in which you believe a Type I Error
is more serious. Give an example of a situation in which you believe a Type II
Error is more serious. In each case, why do you think so?
BUS 352 Grand Canyon Module 7 Discussion 1
Describe when a ztest should be performed as opposed to a ttest?
Which (if any) can we use all the time? Why or why not?
BUS 352 Grand Canyon Module 7 Discussion 2
Your manager, who just read an abridged version of a statistics
book, wants you to test hypotheses for the difference in two population means.
The sample sizes for each are 23. He is adamant that you perform a ztest. What
would you tell him? What specific explanation would you give?
BUS 352 Grand Canyon Module 8 Discussion 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 selfpaced 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?
BUS 352 Grand Canyon Module 8 Discussion 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 1 Problem Set 1
Details:
Complete exercises 1.5, 1.7, 1.13, 1.20, and 1.27, in the textbook.
Grand Canyon BUS 352 Week 2 Problem Set 2
Details:
Complete exercises 2.7, 2.17, 2.19 (refer to Appendix E2 for instructions on
using Excel), 2.21 (parts a, b, and c only), 2.50, 2.51 in the textbook. Please
note: the files needed to complete the assignments are located in Course
Materials (Course AddOns). You will need:
• For 2.17, the “BBCost” file.
• For 2.19, the “Steel” file.
• For 2.21, the “Force” file.
• For 2.50, the “CollegesBasketball” file.
• For 2.51, the “Wonderlic” file.
Complete exercises 3.11, 3.15, 3.21 (parts a and b only), 3.40 in
the textbook. You will need:
• For 3.11, the “Chocolate Chip” file.
• For 3.15, the “Bank1” file.
• For 3.27, the “Chocolate Chip” file.
• For 3.40, the “Cereals” file.
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.
Grand Canyon BUS 352 Week 3 Problem Set 3
Details:
Complete exercises 4.3, 4.9, 4.15, 4.19, 4.23, 4.26, 4.61 (parts
a, b, c and d only) in the textbook.
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.
Grand Canyon BUS 352 Week 4 Problem Set 4
Details:
Complete exercises 5.5, 5.10, 5.15, 5.19, 5.21, 5.39 (parts a, b
and c only) in the textbook.
Complete exercises 6.1, 6.5, 6.9, 6.11, 6.13, 6.29 ((parts a, b, c
and d only).
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.
Grand Canyon BUS 352 Week 5 Problem Set 5
Details:
Complete exercise 7.11, 7.15, 7.27 (parts a and c only)
Complete exercises 8.1, 8.13, 8.15, 8.17, 8,29 (parts a and b
only), 8.35, 8.39
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.
Grand Canyon BUS 352 Week 6 Problem Set 6
Details:
Complete exercises 9.3, 9.13, 9.14, 9.25, 9.48, 9.55
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.
Grand Canyon BUS 352 Week 7 Problem Set 7
Details:
Complete exercises 10.9 (parts a, b and c only), 10.11 (parts a and b only),
10.21 (parts a and b only), 10.23, 10.49
Please note: the files needed to complete the assignments are
located in Course Materials (Course AddOns). You will need:
• For 10.9, the “Phone” file.
• For 10.11, the “Digitalcameras” file.
• For 10.21, the “Measurement” file.
• For 10.23, the “Ad Pages” file.
• For 10.49, the “Digital Cameras” file.
The exercises above require the use of the ttest functions within
the Data Analysis menu in Excel. Refer to Appendix E10 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.
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 “OneWay 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
BUS 352 Grand Canyon Entire Course

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