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QNT 561 Entire Course (With Final Guide)
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QNT 561 Final Exam Guide (New, 2017)
QNT 561 Week 1 Assignment Statistics Concepts and Descriptive
Measures Instructions (Financial Data)
Measures Instructions (Consumer Food)
QNT 561 Week 2 Case Study MBA Schools in Asia Pacific (2 Papers)
QNT 561 Week 3 Case Study SuperFun Toys (2 Papers)
QNT 561 Week 3 Assignment Expansion Strategy and Establishing a
Re-Order Point
QNT 561 Week 4 Case the Payment Time
QNT 561 Week 5 Spicy Wings Case Study
QNT 561 Week 5 Team One-Sample Hypothesis Testing (Election
Results, SpeedX)
QNT 561 Week 6 Signature Assignment (Hospital)
QNT 561 Week 6 Signature Assignment (Consumer Food)
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QNT 561 Entire Course (Without Final Guide)
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Measures Instructions (Financial Data)
Measures Instructions (Consumer Food)
QNT 561 Week 2 Case Study MBA Schools in Asia Pacific (2 Papers)
QNT 561 Week 3 Assignment Expansion Strategy and Establishing a
Re-Order Point
QNT 561 Week 5 Team One-Sample Hypothesis Testing (Election
Results, SpeedX)
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QNT 561 Final Exam Guide (New, 2017)

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1. James Desreumaux, VP of Human Resources of American First
Banks (AFB), is reviewing the employee training programs of AFB
banks. His staff randomly selected personnel files for 100 tellers in the
Southeast Region and determined that their mean training time was 25
hours. Assume that the population standard deviation is 5 hours. The
95% confidence interval for the population mean of training times is
2. If x is a binomial random variable with n=10 and p=0.8, the
mean value of x is______
3. According to the central limit theorem, for samples of size 64
drawn from a population with µ =800 and σ = 56, the standard deviation
of the sampling distribution of sample means would equal ______
4. Life tests performed on a sample of 13 batteries of a new model
indicated: (1) an average life of75 months, and (2) a standard deviation
of 5 months. Other battery models, produced by similar processes, have
normally distributed life spans. The 98% confidence interval for the
population mean life of the new model is _________
5. A large national company is considering negotiating cellular
phone rates for its employees Human Resource department would like to
estimate the proportion of its employee population who own an Apple
iPhone. A random sample of size 250 is taken and 40% of the sample
own and iPhone.. The 95% confidence interval to estimate the
population proportion is _______

6. The number of bags arriving on the baggage claim conveyor belt
in a 3 minute time period would best be modeled with the ________
7. The weight of a USB flash drive is 30 grams and is normally
distributed. Periodically, quanlity control inspectors at Dallas Flash
Drives randomly select a sample of 17 USB flash drive. If the mean
weight of the USB flash drives is too heavy or too light the machinery is
shut down for adjustment; otherwise, the production process continues.
The last sample showed a meanand standard deviation of 31.9 and 1.8
grams, respectively. Using a = 0.10, theappropriate decision is_______
8. Elwin Osbourne, CIO at GFS, Inc., is studying employee use of
GFS e-mail for non-business communications. He plans to use a 95%
confidence interval estimate of the proportion of e-mail messages that
are non-business; he will accept a 0.05 error. Previous studies indicate
that approximately 30% of employee e-mail is not business related.
Elwin should sample _______ e-mail messages
9. The following frequency distribution was constructed for the wait
times in the emergency room The frequency distribution reveals that the
wait times in the emergency room are _______
10. The number of cars arriving at a toll booth in five-minute intervals
is Poisson distributed with a mean of 3 cars arriving in five-minute time
intervals. The probability of 5 cars arriving over a five-minute interval
is ________
11. The number of finance majors within the School of Business is an
example of _______
drawn from a population with µ = 800 and σ = 56, the mean of the
sampling distribution of sample means would equal _______

28. The expected (mean) life of a particular type of light bulb is 1,000
hours with a standard deviation of 50 hours. The life of this bulb is
normally distributed. What is the probability that a randomly selected
bulb would last fewer than 940 hours
29. The mean life of a particular brand of light bulb is 1200 hours and
the standard deviation is 75 hours. Tests show that the life of the bulb is
approximately normally distributed. It can be concluded that
approximately 68% of the bulbs will last between _______.
30. A market researcher is interested in determining the average
income for families in San Mateo County, California. To accomplish
this, she takes a random sample of 300 families from the county and
uses the data gathered from them to estimate the average income for
families of the entire county. This process is an example of _______.
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QNT 561 Final Exam Guide (Score 29/30 New, 2019)
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1. James Desreumaux, VP of Human Resources of American First
Banks (AFB), is reviewing the employee training programs of AFB
banks. His staff randomly selected personnel files for 100 tellers in the
Southeast Region and determined that their mean training time was 25
hours. Assume that the population standard deviation is 5 hours. The
95% confidence interval for the population mean of training times is

2. If x is a binomial random variable with n=10 and p=0.8, the
mean value of x is______
drawn from a population with µ =800 and σ = 56, the standard deviation
of the sampling distribution of sample means would equal ______
4. Life tests performed on a sample of 13 batteries of a new model
indicated: (1) an average life of75 months, and (2) a standard deviation
of 5 months. Other battery models, produced by similar processes, have
normally distributed life spans. The 98% confidence interval for the
population mean life of the new model is _________
5. A large national company is considering negotiating cellular
phone rates for its employees Human Resource department would like to
estimate the proportion of its employee population who own an Apple
iPhone. A random sample of size 250 is taken and 40% of the sample
own and iPhone.. The 95% confidence interval to estimate the
population proportion is _______
6. The number of bags arriving on the baggage claim conveyor belt
in a 3 minute time period would best be modeled with the ________
7. The weight of a USB flash drive is 30 grams and is normally
distributed. Periodically, quanlity control inspectors at Dallas Flash
Drives randomly select a sample of 17 USB flash drive. If the mean
weight of the USB flash drives is too heavy or too light the machinery is
shut down for adjustment; otherwise, the production process continues.
The last sample showed a meanand standard deviation of 31.9 and 1.8
grams, respectively. Using a = 0.10, theappropriate decision
is_______
8. Elwin Osbourne, CIO at GFS, Inc., is studying employee use of
GFS e-mail for non-business communications. He plans to use a 95%
confidence interval estimate of the proportion of e-mail messages that
are non-business; he will accept a 0.05 error. Previous studies indicate
that approximately 30% of employee e-mail is not business related.
Elwin should sample _______ e-mail messages
9. The following frequency distribution was constructed for the wait
times in the emergency room The frequency distribution reveals that the
wait times in the emergency room are _______

10. The number of cars arriving at a toll booth in five-minute intervals
is Poisson distributed with a mean of 3 cars arriving in five-minute time
intervals. The probability of 5 cars arriving over a five-minute interval
is ________
11. The number of finance majors within the School of Business is an
example of _______
drawn from a population with µ = 800 and σ = 56, the mean of the
sampling distribution of sample means would equal _______
13. Consider the following null and alternative hypotheses Ho: m ≤ 67
Ha: m > 67 These hypotheses ___________
14. A market research team compiled the following discrete probability
distribution on the numberof sodas the average adult drinks each day. In
this distribution, x represents the number of sodas which an adult drinks
x
P(x)
0
0.30
1
0.10
2
0.50
3
0.10
The mean (average) value of x is ______________
15. A researcher wants to determine the sample size necessary to
adequately conduct a study to estimate the population mean to within 5
points. The range of population values is 80 and the researcher plans to
use a 90% level of confidence. The sample size should be at least
______
16. The mean life of a particular brand of light bulb is 1200 hours. If
you know that at about 95% of this brand of bulbs will last between
1100 and 1300 hours, then what is the standard deviation of the light
bulbs’ life?
_______.

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QNT 561 Week 1 Assignment Statistics Concepts and
Descriptive Measures Instructions (Consumer Food)
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Purpose of Assignment
The purpose of this assignment to orient students to the key concepts in
statistics. This assignment will introduce students to the language of
statistics. Students will also get a chance to warm-up on evaluating some
basic descriptive statistics using Excel® prior to the course start.
Assignment Steps
This assignment has an Excel dataset spreadsheet attached.
Resource: Microsoft Excel, Statistics Concepts and Descriptive
Measures Data Set
Download the Statistics Concepts and Descriptive Measures Data Set.
Choose:
· Financial
Answer each of the following in a total of 90 words:
· For each column, identify whether the data is qualitative or
quantitative.

· Identify the level of measurement for the data in each column.
· For each column containing quantitative data:
· Evaluate the mean and median
· Interpret the mean and median in plain non-technical terms
· Use the Excel =AVERAGE function to find the mean
· Use the Excel =MEDIAN function to find the median
· Evaluate the standard deviation and range
· Interpret the standard deviation and range in plain non-technical
terms
· Use the Excel =STDEV.S function to find the standard deviation
· For range (maximum value minus the minimum value), find the
maximum value using the Excel =MAX function and find the minimum
value using the Excel's =MIN function
Annual Food Spending ($)
Annual Household Income ($)
Non mortgage household debt ($)
8909
56697
23180
5684
35945

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QNT 561 Week 1 Assignment Statistics Concepts and
Descriptive Measures Instructions (Financial Data)
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The purpose of this assignment to orient students to the key concepts in
statistics. This assignment will introduce students to the language of
statistics. Students will also get a chance to warm-up on evaluating some
basic descriptive statistics using Excel® prior to the course start.
Assignment Steps
This assignment has an Excel dataset spreadsheet attached.
Resource: Microsoft Excel, Statistics Concepts and Descriptive
Measures Data Set
Download the Statistics Concepts and Descriptive Measures Data Set.
Choose:
· Financial
Answer each of the following in a total of 90 words:

· For each column, identify whether the data is qualitative or
quantitative.
· Identify the level of measurement for the data in each column.
· Evaluate the mean and median
· Interpret the mean and median in plain non-technical terms
· Use the Excel =AVERAGE function to find the mean
· Use the Excel =MEDIAN function to find the median
· Evaluate the standard deviation and range
· Interpret the standard deviation and range in plain non-technical
terms
· Use the Excel =STDEV.S function to find the standard deviation
· For range (maximum value minus the minimum value), find the
maximum value using the Excel =MAX function and find the minimum
value using the Excel's =MIN function
Company
Type
Total Revenues
AFLAC
6
7251

DPL
3
1356
E. I. DuPont DeNemours
2
46653
Eastman Chemical
2
4678
Edison International
3
9235
Engelhard
2
3631
Entergy
3
9562
Equitable
6
9666

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QNT 561 Week 1 DQ 1
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How may variance and standard deviation be applied to a real-world
business-related problem? Provide a specific application in which these
measures are useful.
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QNT 561 Week 1 DQ 2
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When would you use Chebyshev’s theorem and the empirical rule in
business? How are they calculated? Provide one real-life example that
requires Chebyshev’s theorem and one that requires the empirical rule.
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QNT 561 Week 1 Individual My Statslab Problem Set

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1. What is statistics?
2. Explain the difference between descriptive and inferential
statistics.
3. Explain the difference between qualitative and quantitative data.
4. Explain how populations and variables differ.
5. Explain how populations and samples differ.
6. What is a representative sample?
7. Explain the difference between a population and a process.
8. Define statistical thinking.
9. Suppose you’re given a data set that classifies each sample unit
into one of four categories: A, B, C or D. You plan to create a computer
database consisting of these data, and you decide to code the data as A =
1, B = 2, C = 3 and D = 4. Are the data consisting of the classifications
A, B, C and D qualitative or quantitative? After the data are in out as 1,
2, 3, or 4, are they qualitative or quantitative?
10. Identify each of the following variables as qualitative or
quantitative.

43. An airport terminal handles an average of 3,000 international
passengers an hour, but is capable of handling twice that number. Also
after scanning all luggage, 20% arriving international passengers are
detained for intrusive luggage inspection. The inspection facility can
handle 500 passengers an hour without unreasonable delays for the
travelers. Complete parts a through c.
44. Will the sampling distribution of always be approximately normally
distributed? Explain.
45. The number of semester hours of college credit taken by first-time
candidates for a certain professional exam has a distribution with a mean
of 127 hours and a standard deviation of 14 hours. Consider a random
sample of 100 first-time candidates for the exam and let represent the
mean number of hours of college credit taken for the sample. Complete
parts a through e below.
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QNT 561 Week 1 Lab Work (New)
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Chapter 2:
Ex 4) Two Thousand three hundred frequent business travelers are
asked which Midwestern city they prefer: Indianapolis, Saint Louis,
Chicago or Milwaukee. 388 liked Indianapolis best, 450 liked Saint

Louis, 1212 liked Chicago and the remainder prefers Milwaukee.
Develop a frequency table and a relative frequency table to summarize
this information (Round relative frequency to 3 decimal places.)
Ex 6) A small business consultant is investigating the performance of
several companies. The fourth-quarter sales for last year (in thousands of
dollars) for the selected companies were:
The consultant wants to include a chart in his report comparing the sales
of six companies. Identify a bar chart that compares the fourth-quarter
sales of these corporations.
Ex 12) the quick change oil company has a number of outlets in the
metropolitan Seattle area. The daily number of oil changes at the Oak
Street outlet in the past 20 days is:
a. How many classes would you recommend?
d. Organize the number of oil changes into a frequency distribution.
Ex 14) the food services division of Cedar River Amusement Park Inc, is
studying the amount that families who visit the amusement park spend
per day on food and drink. A sample of 40 families who visited the park
yesterday revealed they spend the following amounts:
a. Organize the data into a frequency distribution, using seven
classes and 15 as the lower limit of the first class. What class interval did
you select?
b. Where do the data tend to cluster?

Ex 18) Ecommerce.com, a large Internet retailer, is studying the lead
time (elapsed time between when an order is placed and when it is filled)
for a sample of recent orders. The lead time are reported in days.
a. How many orders were studied?
b. What is the midpoint of the first class?
c. What are the coordinates of the first class for a frequency olygon
assuming we draw a frequency polygon using the midpoints?
Ex 20) The following cumulative frequency polygon shows the selling
price ($000) of house sold in the Billings, Montana, area
a. How many orders were studied?
b. What is the class interval?
c. One hundred homes sold for less than what amount?
d. About 75% of the homes sold for less than what amount?
e. Estimate the no of homes $150,000 up to $200,000 class.
f. About how many homes sold for less than $225,000?
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QNT 561 Week 2 Case Study MBA Schools in Asia Pacific (2
Papers)
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Review the Case Study: MBA Schools in Asia-Pacific and the Case
Study: MBA Schools in Asia-Pacific data set.
Prepare a 1,050-word managerial report for your boss.
Use the following questions for guidelines and directions on what to
include in the report:
1. What is the type of data (Quantitative or Qualitative) for each of
the columns (variables) in the dataset? If quantitative, is the data discrete
or continuous? Neatly summarize your response in a table for all the
columns (variables).
2. Using Excel, find the mean, median, standard deviation,
minimum, maximum, and the three quartiles for each of the quantitative
variables identified in part 1 above. Neatly summarize in a table on this
document. Comment on what you observe.
3. What are the minimum and maximum full-time enrollments?
Which schools have the minimum and maximum full-time enrollments?
4. What is the average number of students per faculty member? Is
this low or high? What does this mean to prospective applicants who are
interested in pursuing an MBA in one of the leading international
business schools?
5. What are the mean, median, and modal ages? What does this
mean to prospective applicants?
15. Comment on the skewness for the data on starting salaries:
1. Plot a histogram and determine the skewness.
2. Find the skewness coefficient.

3. Find the mean, median, and mode for starting salaries and
compare the three measures to determine skewness.
16. Finally, use Empirical Rule on the starting salaries and determine
whether the salaries follow the Empirical Rule.
The pursuit of a higher education degree in business is now
international. A survey shows more and more Asians choose the master
of business administration (MBA) degree route to corporate success. As
a result, the number of applicants for MBA courses at Asia-Pacific
schools continues to increase.
Across the region, thousands of Asians show an increasing willingness
to temporarily shelve their careers and spend two years in pursuit of a
theoretical business qualification. Courses in these schools are
notoriously tough and include statistics, economics, banking, marketing,
behavioral sciences, labor relations, decision making, strategic thinking,
business law, and more.
After your MBA, you get a job at Bloomberg in its media division,
Bloomberg Business. Your division publishes reviews and rankings for
business schools in the US and internationally. Because of your strong
analytical education from University of Phoenix, your boss assigns you
to work on preparing an analysis for data gathered for leading business
schools in the Asia-Pacific. The data set in the Excel® file shows some
of the characteristics of the leading Asia-Pacific business schools.
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QNT 561 Week 2 DQ 1

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What are some examples of operational definitions in research design
within your profession? For example, in the education field, graduation
rate and retention rate are important operational definitions to measure
progress of students. Likewise other professions have common metrics
and definitions. Identify some metrics and operational definitions from
your own career or a profession that you know well. Tell us why you
think it is important!
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QNT 561 Week 2 DQ 2
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What is the purpose of sampling? What are some concerns and dangers
of sampling? How important is the sample design to data validity?
Explain. Provide an example where a sample might misrepresent data
validity. For example, reflect on the current political campaign and the
pollsters!

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QNT 561 Week 2 Individual My Statslab Problem Set
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1. A random sample of 87 observations produced a mean = 25.7 and
a standard deviation s = 2.6.
2. Health care workers who use latex gloves with glove powder on a
daily basis are particularly susceptible to developing a latex allergy.
Each in a sample of 50 hospital employees who were diagnosed with a
latex allergy based on a skin-prick test reported on their exposure to
latex gloves. Summary statistics for thr number of latex gloves used per
week are = 19.4 and s = 11.6. Complete parts (a) – (d).
3. Each child in a sample of 62 low-income children was
administered a language and communication exam. The sentence
complexity scores had a mean of 7.63 and a standard deviation of 8.92.
Complete parts a through d.
4. The random sample shown below was selected from a normal
distribution.
4, 10, 7,….2. Complete parts a and b.
5. Periodically, a town water department tests the drinking water of
homeowners such as lead. The lead levels in water specimens collected

11. Use the relative frequency table shown to the right to calculate the
number of the 400 measurements failing into each of the measurements
classes. Then graph a frequency histogram for these data.
12. Five banks have been ranked by the amount charged to credit and
debit cards issued by the banks. The table to the right gives the total
amount charged in 2007 for the top ranked banks.
13. Compare the z-scores to decide which of the x values below lie the
greatest above the mean and the greatest distance below the mean.
14. Consider the horizandal box plot shown to the right.
15. Educators are constantly eveluating the efficacy of public schools in
the education and training of tudents. One quantitative assessment of
change over time is the difference in scores on the SAT. The table below
contains the average SAT scores for 10 states for the years 1988 and
2005.
16. The mean gas mileage for a hybrid car is 56 miles per gallon.
Suppose that the gasoline mileage is approximately normally distributed
with a standard deviation of 3.2 miles per gallon.
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Chapter 5:
Ex 4) A large company must hire a new president. The Board of
Directors prepares a list of five candidates, all of whom are equally
qualified. Two of these candidates are members of a minority group. To
avoid bias in the selection of the candidate, the company decides to
select the president by lottery.
a. What is the probability one of the minority candidate is hired?
b. Which concept of probability did you use to make this estimate?
Ex 14) The chair of the board of directors says, “ There is a 50% chance
this company will earn a profit, a 30% chance it will break even, and a
20% chance it will lose money next quarter”:
a. Use an addition rule to find the probability the company will not
lose money next quarter
b. Use the complement rule to find the probability it will not lose
money next quarter.
EX 22 ) A National Park Service survey of visitors to the Rocky
Mountain region revealed that 50% visit Yellowstone park, 40% visit the
Tetons, and 35% visit both.
a) What is the probability a vacationer will visit at least one of these
attractions?
b) What is the probability .35 called?
c) Are the events mutually exclusive?

EX. 28) For the most recent year available, the mean annual cost to
attend a private university in the united States was $26,889. Assume the
distribution of annual costs follows the normal probability distribution
and the standard deviation is $4,500.
Ninety-five percent of all students at private universities pay less than
what amount?
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QNT 561 Week 2 Team Assignment Business Research Project
Part 1 Business Problem and Research Questions
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Identify an organization or business for your Learning Team research
project.
Describe the products or services it provides.
Identify a problem or dilemma faced by the organization that could be
addressed by research.
Discuss the problem as a team.
Discuss your selected problem or dilemma with your faculty member to
ensure that it is at an appropriate scope for the course.
Develop a purpose statement for your research project.

Create a draft of the research questions addressing the problem and
purpose statements.
Format your paper consistent with APA guidelines.
Click the Assignment Files tab to submit your assignment.
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Part 1 Formulation of the Research Problem
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Identify an organization from any member in your Learning Team or an
organization with which your team is familiar. If an actual company is
used, disguise its name with a pseudonym.
Identify one independent variable and one dependent variable based on
the business. Operationalize these variables if they are too abstract to
measure.
Develop a real or realistic research question for the company you chose
and the two variables. Include a background, a business problem and the
team's role of no more than 500 words.

Develop a research question from the two variables. Keep you research
question simple, easy to understand and able to be quantified with
research data.
Use the Research Question Two Variable Handout for guidance.
Create hypothesis statements based on the research question.
Format your paper consistent with APA guidelines.
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QNT 561 Week 3 Assignment Expansion Strategy and
Establishing a Re-Order Point
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Learning team paper
This assignment has two cases. The first case is on expansion strategy.
Managers constantly have to make decisions under uncertainty. This
assignment gives students an opportunity to use the mean and standard
deviation of probability distributions to make a decision on expansion
strategy. The second case is on determining at which point a manager
should re-order a printer so he or she doesn't run out-of-stock. The
second case uses normal distribution. The first case demonstrates

application of statistics in finance and the second case demonstrates
application of statistics in operations management.
Assignment Steps
Resources: Microsoft Excel®, Bell Computer Company Forecasts data
set, Case Study Scenarios
Write a 1,050-word report based on the Bell Computer Company
Forecasts data set and Case Study Scenarios.
Include answers to the following:
Case 1: Bell Computer Company
Compute the expected value for the profit associated with the two
expansion alternatives. Which decision is preferred for the objective of
maximizing the expected profit?
Compute the variation for the profit associated with the two expansion
alternatives. Which decision is preferred for the objective of minimizing
the risk or uncertainty?
Case 2: Kyle Bits and Bytes
What should be the re-order point? How many HP laser printers should
he have in stock when he re-orders from the manufacturer?
Format your assignment consistent with APA format.
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Individual Paper:
The purpose of this assignment is for students to learn how to make
managerial decisions using a case study on Normal Distribution. This
case uses concepts from Weeks 1 and 2. It provides students an
opportunity to perform sensitivity analysis and make a decision while
providing their own rationale. This assignment also shows students that
statistics is rarely used by itself. It shows tight integration of statistics
with product management.
Assignment Steps
Develop a 1,050-word case study analysis including the following:
· Use the sales forecaster’s prediction to describe a normal
probability distribution that can be used to approximate the demand
distribution.
· Sketch the distribution and show its mean and standard deviation.
Hint: To find the standard deviation, think Empirical Rule covered in
Week 1.
· Compute the probability of a stock-out for the order quantities
suggested by members of the management team (i.e. 15,000; 18,000;
24,000; 28,000).
· Compute the projected profit for the order quantities suggested by
the management team under three scenarios: pessimistic in which sales

One of SuperFun's managers felt the profit potential was so great the
order quantity should have a 70% chance of meeting demand and only a
30% chance of any stock- outs. What quantity would be ordered under
this policy, and what is the projected profit under the three sales
scenarios?
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QNT 561 Week 3 DQ 1
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In your organization’s management development program, there was a
heated discussion between people who claimed that theory is impractical
and not effective, and others who claimed that effective theory is the
most practical approach to problems. What position would you take and
why?
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QNT 561 Week 3 DQ 2
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You observe female sales representatives having lower customer
defections than male sales representatives. What concepts and constructs
would you use to study this phenomenon? How might the concepts or
constructs relate to explanatory hypotheses? Explain.
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QNT 561 Week 3 Individual Mystatslab Problem Set
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1. Which hypothesis, the null or the alternative, is the status-quo
hypothesis?
2. A university economist conducted a study of elementary school
lunch menus. During the state-mandated testing period, school lunches
averaged 890 calories. The economist claimed that after the testing
period ended, the average caloric content of the school lunches
increased/dropped significantly. Set up the null and alternative
hypothesis to test the economist’s claim.
3. Suppose the mean GPA of all students graduating from a particular
university in 1975 was 2.40. The register plans to look at records of
graduating last year to see if the mean GPA has decreased. Define
notation and state the null and alternative hypothesis for this
investigation.

4. A random sample of 100 observations from a population with
standard deviation 58 yielded a sample mean of 111. Complete parts a
through c.
5. A final scores of games of a certain sport were compared against
the final point spreads established by oddsmakers. The difference
between the game outcome and point spread (called a point-spread error)
was calculated for 250 games. The mean and standard deviation of the
point-spread errors are = 1.7 and s = 13.1. Use this information to test
the hypothesis that the true mean point-spread error for all games differs
from 0. Conduct the test at α = 0.10 and interpret the result.
6. If a hypothesis test were conducted using α = 0.025, for which of
the following p-values would the null hypothesis be rejected?
7. For the α and observed significance level (p-value) pair, indicate
whether the null hypothesis would be rejected.
α = 0.10, p-value = 0.001
8. In a test of the hypothesis H0:µ = 40 versus Ha: µ ≠ 40, a sample
of n = 50 observations possessed mean = 40.7 and standard deviation s
= 3.8. Find the p-value for this test.
9. In a study it was found that the averge age of cable TV shoppers
was 55 years. Suppose you want to test the null hypothesis, H0:µ = 55,
using a sample of n = 60 cable TV shoppers.
10. A sample of seven mesurements, randomly selected from a normally
distributed population, resulted in the summary statistics = 4.6 and s =
1.2. Complete parts athrough c.
11. A study analysis recent incidents involving terrorist attacks. Data
on the number of individual suicide bombings that occurred in each of

20 sampled terrorist group attcks against a country is reproduced in the
data table below. An Excel/DDXL printout is shown to the right.
Complete parts a through e.
24. In auction bidding the “winner’s curse” is the phenomenon of the
winning (or highest) bid price being above the expected value of the
item being auctioned. A study was conducted to see if less-experienced
bidders were more likely to be impacted by the curse than super-
experienced biders. The study showed that of the 180 bids by super-
experienced bidders, 26 winning bids were above the item’s expected
value, and of the bids by the 140 less-experienced bidders, 31 winning
bids were above the item’s expected value. Complete parts athrough d.
25. School buying is a form of aggressive behavior that occurs when a
student is exposed repeatedly to negative actions from another student.
In order to study the effectivenss of an antibullying policy at elementary
schools, a survey of over 2,000 elementary school children was
conducted. Each student was asked if he or she ever bullied another
student. In a sample of 1358 boys, 745 Claimed they had never bullied
another student. In a sample of 1379 girls, 966 claimed they had never
bullied another student. Complete parts a through f below.
26. A study was conducted to determine the demographics of two types
of product managers. Independent samples of n1 = 99
consumer/commercial group, 41%(1) of the product managers are 40
years of age or older; in the industrial group, 55%(2) are 40 or more
years old. Make an interference about the differnce between the true
proportions of consumer/commercial and industrial product managers
who are at least 40 years old.
===============================================

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Chapter 8:
Ex 2) The following is a list of 29 hospitals in the Cincinnati (Ohio) and
Northern Kentucky region. The hospitals are identified by numbering
them 00 through 28. Also included is whether the hospital is a general
medical/surgical hospital (M/S) or a specialty hospital (S). we are
interested in estimating the average number of full- and part-time nurses
employed in the area hospitals.
Ex 8) A population consists of the following five values : 1,1,6,7,9.
a. List all samples of size 3, and compute the mean of each sample
b. Compute the mean of the distribution of sample means and the
population mean.
Ex 12) scrapper Elevator Company has 20 sales representatives who sell
its product throughout the United States and Canada. The number of
units sold last month by each representative is listed below. Assume
these sales figures to the population values
a. Compute mean and population
Ex 16) A normal population has a mean of 75 and a standard deviation
of 5. You select a sample of 40.

a. Less than 74
b. Between 74 and 76
c. Between 76 and 77
d. Greater than 77
Chapter 9:
Ex 4) Suppose you know σ and you want an 85% confidence level.
What value would you use as z in formula of confidence interval for a
population mean?
Ex 6) A research firm conducted a survey to determine the mean
amount steady smokers spend on cigarettes during a week. They found
the distribution of amounts spent per week followed the normal
distribution with a population standard deviation of $5. A sample of 64
steady smokers revealed that x = 20
a. What is the 95% confidence interval estimate of μ?
Ex 10) Use Appendix B.5 to locate the value of t under the following
conditions.
a. The sample size is 15 and the level of confidence is 95%
b. The sample size is 24 and the level of confidence is 98%
c. The sample size is 12 and the level of confidence is 90%
Ex 26) Past surveys reveal that 30% of tourists going to Las Vegas to
gamble spend more than $1,000. The visitor’s Bureau of Las Vegas
wants to update this percentage.

a. The new study is to use the 90% confidence level. The estimate is
to be within 1% of the population proportion. What is the necessary
sample size?
b. The bureau feels the sample size determined above is too large.
What can be done to reduce the sample? Based on your suggestions,
recalculate the sample size.
Ex 28) Forty-nine items are randomly selected from a population of 500
items. The sample mean is 40 and the sample standard deviation 9.
Develop a 99% confidence interval for the population mean
===============================================
Part 2 Research Plan (2 Papers)
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This Tutorial contains 2 different Papers
Develop a plan for your Business Research Project in approx. 800
words.
Revise the research questions based on instructor feedback from the
previous week.
Identify population and samples for your research.

Describe who will be chosen and how they will be accessed.
Determine the data collection process.
Describe the format of the survey and the basic item content to be
gathered.
Determine how the survey will be distributed and collected.
Format your plan consistent with APA guidelines.
===============================================
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Individual Paper
The purpose of the assignment is to develop students' abilities in using
datasets to apply the concepts of sampling distributions and confidence
intervals to make management decisions.
Assignment Steps
Resources: Microsoft Excel®, The Payment Time Case Study, The
Payment Time Case Data Set

Review the Payment Time Case Study and Data Set.
Develop a 700-word report including the following calculations and
using the information to determine whether the new billing system has
reduced the mean bill payment time:
Assuming the standard deviation of the payment times for all payments
is 4.2 days, construct a 95% confidence interval estimate to determine
whether the new billing system was effective. State the interpretation of
95% confidence interval and state whether or not the billing system was
effective.
Using the 95% confidence interval, can we be 95% confident that µ ≤
19.5 days?
Using the 99% confidence interval, can we be 99% confident that µ ≤
19.5 days?
If the population mean payment time is 19.5 days, what is the
probability of observing a sample mean payment time of 65 invoices less
than or equal to 18.1077 days?
Please plagiarism free, she is acting to show how we got to the numbers
we got so show work. Must have excel worksheet also.
===============================================
QNT 561 Week 4 Discussion Descriptive Statistics
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Create a Microsoft® Excel® spreadsheet with the two variables from a
dataset for your choosing.
Analyze the data with MegaStat®, StatCrunch®, Microsoft® Excel®or
other statistical tool(s), including:
(a) Descriptive stats for each numeric variable
and
(b) Histogram for each numeric variable
and either (c) or (d)
(c) Bar chart for each attribute (non numeric) variable
(d) Scatter plot if the data contains two numeric variables
Determine the appropriate descriptive statistics.(a) For normally
distributed data use the mean and standard deviation.
(b) For significantly skewed data use the median and interquartile range.
Submit the spreadsheet/work and explain your thought process and
results.
===============================================
QNT 561 Week 4 DQ 1
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does technological advancement affect the ability to collect data?
Provide examples. Does this advancement increase the chance for
errors? Explain.
===============================================
QNT 561 Week 4 DQ 2
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What is the importance of pretesting questions and instruments? What
are risks of not doing this? Provide an example.
===============================================
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1. Researchers conducted a survey of a representative sample of over
1,000 drivers. Based on how often each driver engaged in road

behaviour, a road rage score was given. The drivers were also grouped
by annual income. The data were subjected to an analysis of variance,
with the results summarized in the table.
2. Researchers surveyed a random sample of 25 employees who were
enrolled in a certain program at one of three universities. These
individuals were divided into four distinct groups, 1, 2, 3, and 4,
depending on their job situation at a previous or current firm. The
sampled employees completed a questionnaire on their ethical
perceptions of downsizing. One item asked employees to respond to the
statement, “It is unethical for a downsizing decision to be implemented
on or prior to a major holiday.” Responses were measured using a 5-
point Likert scale, where 1 = strongly agree, 2 = agree, 3 = neutral, 4 =
disagree, and 5 = strongly disagree. Data on both the qualitative variable
“Group” and the quantitaive variable “Ethics response” are shown in the
accompanying table. The researchers’ goal was to determine if any
differences exist among the mean ethics scores for the four groups.
Complete parts a through d.
3. What conditions must n satisfy to make the x2 test valid?
4. There has been a recent trend for sports franchises in baseball,
football, basketball, and hockey to build new stadiums and ballsparks in
urban, downtown venues. A magazine investigated whether there has
been a significanr suburban-to-urban shift in the location of major sport
facilities. In 1985 40% of all major sports facilities were located
downtown, 30%in central city, and 30% in suburban areas. In contrast,
of the 122 major sports franchises that existed in 1997, 65 were built
downtown 28 in a central city, and 29 in a suburban area. Complete
parts a through e.

15. To determine if winning a certain award leads to a change in life
expectancy, researchers sampled 761 award winners and matched each
one with another person of the same sex who was in the same profession
and was born in the same era. The ilfespan of each pair was compared.
Complete parts a through c below.
16. School bullying is a form of aggressive behaviour that occurs when
a student is exposed repeatly to nagative actions from another student. In
order to study the effectiveness of an antibullying policy at elementary
schools, a survey of over 2,000 elementary school children was
conducted. Each student was asked if he or she ever bullied another
student. In a sample of 1358 boys, 747 claimed they had never bullied
another student. In a sample of 1379 girls, 964 claimed they had never
bullied another student. Complete parts a through f below.
===============================================
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Chapter 10:
Ex 2) A Sample of 36 observations is selected from a normal
population. The sample mean is 12, and the population standard
deviation is 3. Conduct the following test of hypothesis using the 0.01
significance level.

a. This is a ……… tailed test
b. The decision rule is to reject ……..
c. The test statistic is t= ………..
d. What is your decision regarding Ho?
e. The p-value is between 0.1 and 0.2?
Ex 16) The null hypothesis and the alternate hypothesis are:
a. State the decision rule, using 0.05 significance level
b. Compute the value of chi-square
c. What is your decision regarding Ho?
===============================================
Part 3 Survey and Data Collection Plan (2 Sets)
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This Tutorial contains 2 different sets
Create a draft of the survey.

Conduct a pilot pretest having another Learning Team in the class to
provide feedback for your team. Chet will create a message thread for
each team to place their survey in the Class Discussion Tab.
Revise the survey based on the feedback provided by your classmates.
Describe in a paragraph or two at the end of your survey what feedback
was provided by the other team and how did that impact this final survey
from you initial draft.
Click the Assignment Files tab to submit your final survey that you
deploy.
===============================================
QNT 561 Week 5 DQ 1
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What is the value of performing hypotheses tests to solve problems
related to business and operations management? Provide specific
examples.
===============================================
QNT 561 Week 5 DQ 2

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What are differences between dependent and independent samples?
Provide examples. What are implications for determining the tests used
to analyze data?
===============================================
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1. Consider the pairs of measurements shown to the right.
2. Researchers investigated the effect of tablet surface area to volume
on the rate at which a drug is released in a controlled-release dosage. For
six similarly shaped tablets with different weights and thicknesses, the
diffusional drug release rate (percentage of drug released divided by the
square root of time) was determined. The experimental data are listed in
the table. Complete parts a through d.
3. Many entrepreneurs have donated money to various causes. Data
on the total amount pledged and remaining net worth for the 10 top
donors are given in the table. Complete parts a through d.

4. Explain what each of the following sample correlation coefficients
tells you about the relationship between the x and y values in the sample.
5. Construct a scttergram for each data set. Then calculate r and r2 for
each data set. Interpret their values. Complete parts a through d.
6. A university conducted a study on 446 business graduates who had
all completed the same business course. The study used correlation
coefficients to investigate the relationship between many different
business skills. Two of the many variables measured were self-
knowledge skill level (x) and goalsetting ability (y). The correlation was
r = 0.82. Complete parts a through c below.
7. Studies of managers from two countries in the 1970s found
differences of opinion toward quality management. To find out if these
differences continue to exist, researchers surveyed 100 managers in each
country in the electronics manufacturing industry. The accompanying
table gives the percentages of managers from each country who agree
with each of 10 randomly selected statements regarding quality.
Complete parts a through c.
8. Suppose a statistication built a multiple regression model for
predicting the total number of runs scored by a baseball team during a
season.Use the β estimates to predict the number of runs scored by a
team with 303 walks, 856 singles, 263 doubles, 37 triples, and 124 home
runs.
9. Consider fitting the multiple regression model, E(y), below. A
matrix of correlations for all pairs of independent variables on the right.
Do you detect a multicollinearity problem?
10. Identify the problem(s) in the residual plots shown below.

11. Researchers conducted a survey of a representative sample of over
1,000 drivers. Based on how often each driver engaged in road rage
behaviour, a road rage score was given. The driver were also grouped by
animal income. The data were subjected to an analysis of variance, with
the results summarized in the table.
12. What conditions must n satisfy to make the x2 test valid?
13. There has been a recent trend for sports franchises in baseball,
football, basketball, and hockey to build new stadiums and ballsparks in
urban, downtown venues. A magazine investigated whether there has
been a significanr suburban-to-urban shift in the location of major sport
facilities. In 1985 40% of all major sports facilities were located
downtown, 30%in central city, and 30% in suburban areas. In contrast,
of the 122 major sports franchises that existed in 1997, 65 were built
downtown 28 in a central city, and 29 in a suburban area. Complete
parts a through e.
===============================================
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Chapter 13:
Ex 6) The owner of Maumee Ford-Mercury-Volvo wants to study the
relationship between the age of a car and its selling price. Listed below

is a random sample of 12 used cars sold at the dealership during the last
year.
a. If we wants to estimate selling price on the basis of the age of car,
which variable is thr dependent varialble and which is the independent
variable?
b. 1. Determine the correlation coefficient
2. Determine the coefficient of determination.
c. Interpret the correlation coefficient. Does it surprise you that the
correlation coefficient is negative?
EX.12) The student Government Association at Middle Carolina
University wanted to demonstrate the relationship between the number
of beers a student drinks and his or her blood alcohol content (BAC). A
random sample of 18 students participated in a study in which
participating student was randomly assigned a number of beers, a
member of the local sheriff’s office measured their blood alcohol
content. The sample information is reported below.
Choose scattered diagram best fit data.
Fill in the blank below
State decision rule.
Ex 14) The following sample observations were randomly selected.
a. Determine the regression equation.
b. Determine the value of Y when X is 7.

c. 1. State the decision rule for .05 significance level:
2. Compute the value of F statistics
3. Can we conclude that the set of regression coefficients could be
different from 0?
d. 1. State the decision rule for .05 significance level:
2. Compute the value of test statistics
3. Which variable you consider eliminating?
===============================================
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Week 5
Individual Paper
· Spicy Wings Case
The purpose of this assignment is to develop students' abilities to
combine the knowledge of descriptive statistics covered in Weeks 1 and
2 and one-sample hypothesis testing to make managerial decisions. In

this assignment, students will develop the ability to use statistical
analysis and verify whether or not a claim is valid before advertising it.
Assignment Steps
Resources: Microsoft Excel®, Spicy Wings Case Study, Spicy Wings
Data Set
Develop a 700-word statistical analysis.
Use descriptive statistics to compute a measure of performance John can
use to analyze his delivery performance. Find the following for your
measures:
· Mean
· Standard deviation
· Sample size
· Five-number summary on the total time
Conduct a formal hypothesis testing to help John decide whether to offer
the delivery guarantee or not.
Estimate the probability of an order taking longer than 30 minutes.
Make a recommendation in a short narrative including the following:
· Based on the sampled data, should John offer the guarantee?
· What percent of the Saturday deliveries would result in a
customer receiving a free order?
· What recommendations might help John improve his Saturday
delivery times?

===============================================
Part 4 Data Analysis (2 Sets)
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This Tutorial contains 2 different sets
Administer the survey.
In a paper in the APA format describe the following:
Determine the sample process including sample contact, survey
distribution, and survey collection.
Organize, prepare, and describe the data.
Include tables and figures as necessary to visually present the data.
Think of this as a progress report to the CEO. He/She has provided your
resources to conduct your research and you have just completed the
deployment of your survey with some raw data BUT your analysis is not
completed! This is to provide the CEO a quick touch point informing
them how everything went, what are your initial thoughts, showing them
your raw results (# counts and percentages) for each question, and
anything that is jumping out at you at this point.
You will provide your detailed analysis in Week 6.

===============================================
QNT 561 Week 5 Team One-Sample Hypothesis Testing
(Election Results, SpeedX)
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Week 5
Learning team Paper
Part A : One-Sample Hypothesis Testing Cases
The purpose of this assignment is to develop students' abilities to
combine the knowledge of descriptive statistics covered in Weeks 1 and
2 and one-sample hypothesis testing to make managerial decisions. In
this assignment, students will learn how statistical analysis is used in
predicting an election winner in the first case. In the second case,
students will conduct a hypothesis test to decide whether or not a
shipping plan will be profitable.
Assignment Steps
Resources: Microsoft Excel®, Case Study Scenarios, SpeedX Payment
Times

Develop a 700- to 1,050-word statistical analysis based on the Case
Study Scenarios and SpeedX Payment Times.
Include answers to the following:
Case 1: Election Results
· Use 0.10 as the significance level (α).
· Conduct a one-sample hypothesis test to determine if the networks
should announce at 8:01 P.M. the Republican candidate George W. Bush
will win the state.
Case 2: SpeedX
· Use 0.10 and the significance level (α).
· Conduct a one-sample hypothesis test and determine if you can
convince the CFO to conclude the plan will be profitable.
Case Study #1 – Election Results
When an election for political office takes place, the television networks
cancel regular programming and instead, provide election coverage.
When the ballots are counted, the results are reported. However, for
important offices such as president or senator in large states, the
networks actively compete to see which will be the first to predict a
winner. This is done through exit polls, wherein a random sample of
voters who exit the polling booth is asked for whom they voted. From
the data, the sample proportion of voters supporting the candidates is
computed. Hypothesis testing is applied to determine whether there is

You have learned any analysis in inferential statistics starts with
sampling. To test the CFO’s belief, you decide to randomly select 220
customers and propose to include a stamped self-addressed envelope
with their invoices. The CFO accepts your proposal and allows you to
run a pilot study. You then record the numbers of days until payment is
received. Using your statistical expertise and skills you gained in the
class, conduct a one-sample hypothesis test and determine if you can
convince the CFO to conclude that the plan will be profitable. Use 0.10
and the significance level (α).
===============================================
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Chapter 18:
EX.2) Listed Below is the number of movie tickets sold at the Library
Cinema-Complex, in thousands, for the period from 2001 to 2013.
Compute a five-year weighted moving average using weights of 0.15,
0.15, 0.25, 0.16, and 0.29, respectively. Describe the trend in yield.
EX 10) Appliance Center sells a variety of electronic equipment and
home appliance. For the last 4 years, 2010 through 2013, the following
quarterly sales (in $ millions) were reported.

Determine the typical seasonal index for each of four quarters.
===============================================
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Individual Paper Signature Assignment
About Your Signature Assignment
This signature assignment is designed to align with specific program
student learning outcome(s) in your program. Program Student Learning
Outcomes are broad
statements that describe what students should know and be able to do
upon completion of their degree. The signature assignments might be
graded with an automated
rubric that allows the University to collect data that can be aggregated
across a location or college/school and used for program improvements.
The purpose of this assignment is for students to synthesize the concepts
learned throughout the course. This assignment will provide students an
opportunity to build

critical thinking skills, develop businesses and organizations, and solve
problems requiring data by compiling all pertinent information into one
report.
Assignment Steps
Note: Ideally, we want to assess the conditions of normality too.
However, for the purpose of this exercise, assume data is drawn from
normal populations.
Part 3 – Inferential Statistics (2-3 paragraphs)
Use the Part 3: Inferential Statistics document.
Create (formulate) hypotheses
Run formal hypothesis tests
Make decisions. Your decisions should be stated in non-technical terms.
Hint: A final conclusion saying “reject the null hypothesis” by itself
without explanation is basically worthless to those who hired you.
Similarly, stating the
conclusion is false or rejected is not sufficient.
Part 4 – Conclusion and Recommendations (1-2 paragraphs)
Include the following:
What are your conclusions?
What do you infer from the statistical analysis?
State the interpretations in non-technical terms. What information might
lead to a different conclusion?
Are there any variables missing?

What additional information would be valuable to help draw a more
certain conclusion?
===============================================
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Individual Paper Signature Assignment
About Your Signature Assignment
This signature assignment is designed to align with specific program
student learning outcome(s) in your program. Program Student Learning
Outcomes are broad
statements that describe what students should know and be able to do
upon completion of their degree. The signature assignments might be
graded with an automated
rubric that allows the University to collect data that can be aggregated
across a location or college/school and used for program improvements.

The purpose of this assignment is for students to synthesize the concepts
learned throughout the course. This assignment will provide students an
opportunity to build
critical thinking skills, develop businesses and organizations, and solve
problems requiring data by compiling all pertinent information into one
report.
Assignment Steps
Note: Ideally, we want to assess the conditions of normality too.
However, for the purpose of this exercise, assume data is drawn from
normal populations.
Part 3 – Inferential Statistics (2-3 paragraphs)
Use the Part 3: Inferential Statistics document.
Create (formulate) hypotheses
Run formal hypothesis tests
Make decisions. Your decisions should be stated in non-technical terms.
Hint: A final conclusion saying “reject the null hypothesis” by itself
without explanation is basically worthless to those who hired you.
Similarly, stating the
conclusion is false or rejected is not sufficient.
Part 4 – Conclusion and Recommendations (1-2 paragraphs)
Include the following:
What are your conclusions?
What do you infer from the statistical analysis?

State the interpretations in non-technical terms. What information might
lead to a different conclusion?
Are there any variables missing?
What additional information would be valuable to help draw a more
certain conclusion?
===============================================
Part 5 Research Report and Presentation (2 Sets)
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This Tutorial contains 2 Sets of Report and Presentation
Complete the cumulative Business Research Report in approx. 1,500
words by collaborating with your team to include the following:
Revised tables or figures based on prior instructor feedback
The description or interpretation for the tables or figures
Summary of Learning Team results
Answers to the research questions

Research challenges
Steps to minimize challenges in future research
Rationale for the survey items
Analyze the implications of the team's results in relation to the business.
There should be at least one graduate level statistical equation used to
support your analysis.
Recommend avenues for future research based on your research results,
challenges, and implications.
Format your Business Research Report consistent with APA guidelines.
Develop a Microsoft®PowerPoint®presentation of no more than 15
slides that includes the following elements:
Overall picture of the research process
Summary of the research results including specific answers to the
research questions
Summary of the challenges, implications, and recommendations
Submit the cumulative Business Research Report and Microsoft®
PowerPoint ®presentation to your instructor.
===============================================

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