QNT 561 NERD Introduction Education--qnt561nerd.com

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 Final Exam Guide (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______ 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 _______
12. According to the central limit theorem, for samples of size
64 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? 17. Completion time
(from start to finish) of a building remodeling project is
normally distributed with a mean of 200 work-days and a
standard deviation of 10 work-days. To be 99% sure that we
will not be late in completing the project, we should request a
completion time of ______ work-day. 18. A large industrial
firm allows a discount on any invoice that is paid within 30
days. Of all invoices, 10% receive the discount. In a company
audit, 10 invoices are sampled at random. The probability that
fewer than 3 of the 10 sampled invoices receive the discount is
approximately_______________. 19. Suppose a population has

a mean of 400 and a standard deviation of 24. If a random
sample of size 144 is drawn from the population, the
probability of drawing a sample with a mean less than 402 is
_______ 20. If x is a binomial random variable with n=10 and
p=0.8, what is the probability that x is equal to 4 ? 21. The
normal distribution is used to test about a population mean for
large samples if the population standard deviation is known.
"Large" is usually defined as _______ 22. Lucy Baker is
analyzing demographic characteristics of two television
programs, Americandol (population 1) and 60 Minutes
(population 2). Previous studies indicate no difference in the
ages of the two audiences (The mean age of each audience is
the same.) Lucy plans to test this hypothesis using a random
sample of 100 from each audience. Her null hypothesis is 23.
Maureen McIlvoy, owner and CEO of a mail order business
for wind surfing equipment and supplies, is reviewing the
order filling operations at her warehouses. Her goal is 100% of
orders shipped within 24 hours. In previous years, neither
warehouse has achieved the goal, but the East Coast
Warehouse has consistently out-performed the West Coast
Warehouse. Her staff randomly selected 200 orders from the
West Coast Warehouse (population 1) and 400 orders from the
East Coast Warehouse (population 2), and reports that 190 of
the West Coast Orders were shipped within 24 hours, and the
East Coast Warehouse shipped 372 orders within 24 hours.
Maureen's alternate hypothesis is _______ 24. Ophelia
O'Brien, VP of Consumer Credit of American First Banks
(AFB), monitors the default rate on personal loans at the AFB
member banks. One of her standards is "no more than 5% of
personal loans should be in default." On each Friday, the
default rate is calculated for a sample of 500 personal loans.
Last Friday's sample contained 30 defaulted loans. Ophelia's
null hypothesis is _______.25. Catherine Chao, Director of
Marketing Research, is evaluating consumer acceptance of a
new toothpaste package. Her staff reports that 17% of a

random sample of 200 households prefers the new package to
all other package designs. If Catherine concludes that 17% of
all households prefer the new package, she is using _______.
26. The empirical rule says that approximately what
percentage of the values would be within 2 standard deviations
of the mean in a bell shaped set of data 27. Medical Wonders is
a specialized interior design company focused on healing
artwork. The CEO, Kathleen Kelledy claims that artwork has
healing effects for patients staying in a hospital, as measured
by reduced length of stay. Her current client is a children’s
cancer hospital. Kathleen is interested in determining the effect
of three different pieces of healing artwork on children. She
chooses three paintings (a horse photo, a bright abstract, and a
muted beach scene) and randomly assigns six hospital rooms to
each painting. Kathleen's null hypothesis is _____________ 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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3.

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 • For each column containing quantitative data: •
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 7052 10706 52687 16149 14112 74041 21839 13855
63182 18866 15619 79064 21899 2694 25981 8774 9127 57424 15766
13514 72045 27685 6314 38046 8545 7622 52408 28057 4322 41405
6998 3805 29684 4806 6674 49246 13592 7347 41491 4088 2911 26703
15876 8026 48753 16714 8567 55555 16783 10345 71483 21407 8694
50980 19114 8821 46403 7817 8678 51927 14415 14331 84769 17295

9619 59062 16687 9286 57952 14161 8206 58355 19538 16408 81694
15187 12757 69522 14651 17740 96132 0
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Measures Instructions (Financial Data)
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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 • For each column containing quantitative data: •
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 Albertson's 4 14690 Allstate 6 20106 Amerada Hess
7 8340 American General 6 3362 American Stores 4 19139 Amoco 7
36287 Arco Chemical 2 3995 Ashland 7 14319 Atlantic Richfield 7

19272 Bausch & Lomb 5 1916 Baxter International 5 6138 Bristol-
Myers Squibb 5 16701 Burlington Coat 1 1777 Central Maine Power
3 954 Chevron 7 41950 CIGNA 6 14935 Cinergy 3 4353 Dayton
Hudson 1 27757 Dillard's 1 6817 Dominion Resources 3 7678 Dow
Chemical 2 20018 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.
11. Each month interviewers visit about 69,000 of the 93 million
households in the region and question the occupants over 18 years of
age about their educational status. Their responses enable the
interviewers to estimate the percentage of people in the labor force
who are college educated. Compare parts a through c.
12. Complete the table to the right?
13. In one university, language professors incorporated a 10-week
extensive program to improve students’ Japanese reading
comprehension. The professors collected 283 books originally
written for Japanese children and required their students to read at
least 40 of them as part of the grade in the course. The books were
categorized into reading levels (color-coded for easy selection)
according to length and complexity. Complete parts a through c.
14. A group of marketing professors asked every fourth adult
entrant to a mall to participate in a study. A total of 119 shoppers
agreed to answer the question, “Made locally” means what
percentage of local labor and materials?” The responses of the 119
shoppers are summarized in the table to the right. Complete parts a
through c below.

15. Graph the relative frequency histogram for the 300
measurements summarized in the relative frequency table to the
right.
16. If jobs arrive at a particular work center at a faster rate than
they depart, the work center impedes the overall production process
and is referred to as a bottleneck. The data in the table were
collected by an operations manager for use in investigating a
potential bottleneck work center.
17. A data set contains the observations 3, 5, 4, 2, 3. Find the
following values.
18. Calculate the mean and Median of the following grade point
averages.
2.5 2.9 3.6 2.6 3.2 3.7
19. 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.
20. The data on the age (in years) of each of the 20 most powerful
women in a region are shown below.
49 62 52 ……………………………………….64
21. The salaries of superstar professional athletes receive much
attention in the media. The multimillion-dollar long-term contract is
now commonplace among this elite group. Nevertheless, rarely does
a season pass without negotiations between one or more of the
players’ associations and team owners for additional salary and
fringe benefits for all players in their particular sports. Complete
parts a and b below.
22. Calculate the range, variance, and standard deviation for the
following sample.
3, -3,2,……………….4
23. A university’s language professors incorporated a 10-week
extensive redaing program into a second-semester Japanese
language course in an effort to improve students’ Japanese reading
comprehension. Fourteen students participated in this reading
program. Complete parts a through c.

24. A country’s Energy Information Administration monitors all
nuclear power plants operating in that country. The table to the
right lists the number of active nuclear power plants operating in
each of a sample of 10 states.
25. A study of 100,000 first-time candidates for the CPA exam
found that the mean number of semester hours of college credit
taken by the candidates was 144.58 hours. The standard deviation
was reported to be 15.73 hours. Complete parts a through c.
26. Compute the z-score corresponding to each of the values of x
below.
27. 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.
28. A sample data set has a mean of 74 and a standard deviation of
10. Determine whether each of the following sample measurements
are outliers.
29. Consider the horizandal box shown to the right.
30. Educators are constantly evaluating the efficacy of public
schools in the education and training of students. 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.
31. Data on annual rainfall, maximum daily temperature,
percentage of planet cover, and number of anti species recorded at
each of 11 study sites are given in the accompanying table. Complete
parts a through c.
32. Determine whether the random variable is discrete or
continuous.
33. The random variable x has the following discrete probability
distribution. Complete parts a through f.
34. X intercept, y intercept
35. If x is a binomial random variable, compute p(x) for each of the
cases below.
36. According to a business magazine, 30% all small businesses
owned by non-Hispanic whites nationwide are women-owned firms.

37. According to a certain golf association, the weight of the golf
ball ball shall not be greater than 1.620 ounces (45.93 grams). The
velocity of the ball shall not be greater than 250 feet per second. The
golf association periodically checks the specifications of golf balls
using sampling. Five dozen of each kind are sampled, and if more
than three do not meet size or velocity requirements, that kind of
ball is removed from the golf association’s approved list. Complete
parts a and b.
38. Find the area under the standard normal probability
distribution between the following pairs of z-scores.
39. Suppose the random variable x is the best described by a
normal distribution with µ = 32 and = 5. Find the z-score that
corresponds to each of the following x-values.
40. 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.
41. Personnel tests are designed to test a job applicant’s cognitive
and/or physical abilities. A particular dexterity test is administered
nationwide by a private testing service. It is known that for all tests
administered last year, the distribution of scores was approximately
normal with mean 76 and standard deviation 7.8.
42. Determine evidence to support or contradict the assumption
that the data to the right come from an approximately normal
distribution.
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? 6. What is the mean percentage of foreign students?
How many and which schools have 1% and 0% foreign students?
Which schools have highest percentage of foreign students? Please
state these percentages. 7. What percentage of schools require the
GMAT test? 8. What percentage of schools require English tests
such as Test of English as a Foreign Language (TOEFL)? 9.
What percentage of schools require work experience? From
this percentage, does this appear to be a significant factor in gaining
admissions? 10.What are the mean and median starting salaries?
Which schools have the minimum and maximum starting salaries?
How much are these minimum and maximum salaries? 11.
What are the mean tuition for foreign students and for local
students? Does there appear to be a significant difference? What is
the difference between the two means? 12.How many schools
require work experience and how many of them don't? What is the
mean starting salary for schools requiring work experience? What is
the mean starting salary for schools requiring no work experience?
13. How many schools require English tests and how many don't?
What is the mean starting salary for schools requiring English tests?
What is the mean starting salary for schools requiring no English

tests? 14. Does there appear to be a correlation between age and
starting salaries? Comment on the strength and the direction of the
correlation. 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 for a sample of 10 residents of the town had a mean of 3.1
mg/L and a standard deviation of 1.2 mg/L. Complete parts a
through c.
6. A random sample of size n = 250 yielded = 0.20.
7. A newspaper reported that 50% of people say that some coffee
shops are overpriced. The source of this information was a
telephone survey of 40 adults.
8. An accounting firm annually monitors a certain mailing
service’s performance. One parameter of interest is the percentage
of mail delivered on time. In a sample of 303,000 items mailed
between Dec. 10 and Mar. 3---__ the most difficult delivery season
due to bad weather and holidays__ the accounting firm determined
that 245,200 items were delivered on time. Use this information to
make a statement about the likelihood of an item being on time by
that mailing service.
9. Suppose oyu’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 input as 1, 2, 3, or 4, are they qualitative or
Quantitative?
10. In one university, language professors incorporated a 10-week
extensive program to improve students’ Japanese reading
comprehension. The professors collected 262 books originally
written for Japanese children and required their students to read at
least 40 of them as part of the grade in the course. The books were
categorized into reading levels (color-coded for easy selection)
according to length and complexity. Complete parts a through c.

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 40) Value : 10.00 Points Solve the
following: a) 20!/17! b) 9P3 c) 7C2 Ex 34) Use Bayes’ theorem
to determine P(A3| B1) Chapter 6: Ex 4) Which of these variables
are discrete and which are continuous random variables? a. The
number of new accounts established by a salesperson b. The time
between customer arrivals to a bank ATM c. The number of
customers in Big Nick’s barber shop d. The amount of fuel in
your car’s gas tank EX. 14) The U.S postal service reports 95% of
first-class mail within the same city is delivered within 2 days of the
time of mailing. Six letters are randomly sent to different locations.
a) What is the probability that all six arrive within 2 days? b)
What is the probability that will arrive within 2 days. c)
Compute the variance of the number that will arrive within 2
days. d) Compute the standard deviation of the number that will
arrive within 2 days. Ex 20) Binomial Distribution EX. 26) A
Population consists of 15 items, 10 of which are acceptable. In a
sample of four items, what is the probability that exactly three are
acceptable? Assume the samples are drawn without replacement.
Chapter 7: Ex 4) According to the insurance institute of America, a
family of four spends between $400 and $3,800 per year on all type
of insurance. Suppose the money spent is uniformly distributed
between these amounts. a. What is the mean amount spent on
insurance? b. What is S.D of the amount spent? c. If we select a
family at random, What is the probability they spend less than
$2,000 per year on insurance per year? d. What is the probability a
family spends more than $3,000 per year? EX.10)The mean of a
normal probability distribution is 60; the standard deviation is 5. a)
About what percent of the observations lie between 55 and 65?

b) About what percent of the observations lie between 50 and 70?
c) About what percent of the observations lie between 45 and 75?
Ex 14) A normal population has a mean of 12.2 and a standard
deviation of 2.5 a. Complete the z value associated with 14.3 b.
What proportion of the population is between 12.2 and 14.3? c.
What proportion of the population less than 10? Ex 18) A
normal population has a mean of 80.0 and a standard deviation of
14.0 a. Compute the probability of a value between 75.0 and 9.0
b. Compute the probability of a value of 75.0 or less c. Compute
the probability of a value between 55.0 and 70.0 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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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 Purpose of Assignment 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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QNT 561 Week 3 Case Study SuperFun Toys (2 Papers)
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Individual Paper: Purpose of Assignment 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
are 10,000 units, most likely case in which sales are 20,000 units, and
optimistic in which sales are 30,000 units. 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? SuperFun Toys, Inc., sells a variety of new and
innovative children’s toys. Management learned the pre-holiday
season is the best time to introduce a new toy because many families
use this time to look for new ideas for December holiday gifts. When
SuperFun discovers a new toy with good market potential, it chooses
an October market entry date. To get toys in its stores by October,
SuperFun places one-time orders with its manufacturers in June or
July of each year. Demand for children’s toys can be highly volatile.
If a new toy catches on, a sense of shortage in the marketplace often
increases the demand to high levels and large profits can be realized.
However, new toys can also flop, leaving SuperFun stuck with high
levels of inventory that must be sold at reduced prices. The most
important question the company faces is deciding how many units of
a new toy should be purchased to meet anticipated sales demand. If
too few are purchased, sales will be lost; if too many are purchased,
profits will be reduced because of low prices realized in clearance
sales. This is where SuperFun feels that you, as an MBA student,
can bring value. For the coming season, SuperFun plans to

introduce a new product called Weather Teddy. This variation of a
talking teddy bear is made by a company in Taiwan. When a child
presses Teddy’s hand, the bear begins to talk. A built-in barometer
selects one of five responses predicting the weather conditions. The
responses range from “It looks to be a very nice day! Have fun” to
“I think it may rain today. Don’t forget your umbrella.” Tests with
the product show even though it is not a perfect weather predictor,
its predictions are surprisingly good. Several of SuperFun’s
managers claimed Teddy gave predictions of the weather that were
as good as many local television weather forecasters. As with other
products, SuperFun faces the decision of how many Weather Teddy
units to order for the coming holiday season. Members of the
management team suggested order quantities of 15,000, 18,000,
24,000, or 28,000 units. The wide range of order quantities suggested
indicates considerable disagreement concerning the market
potential. Having a sound background in statistics and business, you
are required to perform statistical analysis and the profit
projections which is typically done by the product management
group. You want to provide management with an analysis of the
stock-out probabilities for various order quantities, an estimate of
the profit potential, and to help make an order quantity
recommendation. SuperFun expects to sell Weather Teddy for $24
based on a cost of $16 per unit. If inventory remains after the
holiday season, SuperFun will sell all surplus inventories for $5 per
unit. After reviewing the sales history of similar products,
SuperFun’s senior sales forecaster predicted an expected demand of
20,000 units with a 95% probability that demand would be between
10,000 units and 30,000 units. 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.

12. When planning for a new forest road to be used for tree
harvesting, planners must select the location to minimize tractor
skidding distance. The skidding distances (in meters) were
measured at 20 randomly selected road sites. The data are given
below. A logger working on the road claims the mean skidding
distance is atleast 424 meters. Is there sufficient evidence to refute
this claim? Use α = 0.10 / α = 0.01.
13. For the binomial sample sizes and null hypothesized values of p
in each part, determine whether the sample size is large enough to
meet the required conditions for using the normal approximation to
conduct a valid large-sample hypothesis test of the null hypothesis
H0: p = p0. Complete parts a through e.
14. Suppose a consumer group rated 49 brands of toothpaste based
on whether or not the brand carries an American Dental
Association (ADA) seal verifying effective decay prevention. The
results of a hypothesis test for the proportion of brands with the seal
are shown to the right. Complete parts a through c.
15. In order to compare the means of two populations, independent
random samples of 410 observations are selected from each
population, with the results found in the table to the right. Complete
parts a through e.
16. To use the t-statistic to test for a difference between the means
of two populations, what assumptions must be made about the two
populations? About the two samples?
17.
18. Independent random samples are selected from
two populations and are used to test the hypothesis
H0: (µ1 - µ2) = 0 against the alternative Ha: (µ1 - µ2)
≠ 0. An analysis of 234 observations from population
1 and 310 from population 2 yielded a p-value of
0.113. Complete parts a and b below.
19. A study was done to examine whether the perception of service
quality at hotels differd by gender. Hotel guests were randomly
selected to rate service items on a 5-point scale. The sum of the items

for each guest was determined and a summary of the guest scores
are provided in the table. Complete parts a and b.
20. To determine if winning a certain award leads to a challenge in
life expectancy, researches sampled 748 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 lifespan of each pair
was compared. Complete parts a through c below.
21. A new testing method was developed to reduce a certain ratio.
The data in the table show the ratios that resulted from testing six
components using the standard method and the new method.
Compare the two methods with a 90% confidence interval. Which
method has the smaller mean ratio?
22. Consider making an interference about p1 – p-2 , where there
are x1 successes in n1 binomial trails and x2 succeseses in n2
binomial trails.
23. Construct a 90% confidence interval for (p1 – p2) in each of the
following situations.
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
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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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QNT 561 Week 4 Case the Payment Time
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Individual Paper Purpose of Assignment 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? Format your assignment
consistent with APA format. Please plagiarism free,
she is acting to show how we got to the numbers we
got so show work. Must have excel worksheet also.
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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.
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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.
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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.

5. Each child in a sample of 63 low-income children was
administered a language and communication exam. The sentence
complexity scires had a mean of 7.63 and a standard deviation of
8.95. Complete parts a through d.
6. Which hypothesis, the null or the alternative, is the status-quo
hypothesis?
7. Suppose the mean GPA of all students graduating from a
particular university in 1975 was 2.50. The register plans to look at
records of students graduating last year to see if the mean GPA has
changed. Define notation and state the null and alternative
hypothesis for this investigation.
8. A random sample of 100 observations from a population with
standard deviation 65 yielded a sample of 112. Complete parts a
through c.
9. For the α and observed significance level (p-value) pair,
indicate whether the null hypothesis would be rejected.
10. 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.
11. When planning for a new road to be used for tree harvesting,
planners must select the location to minimize tractor skidding
distance. The skidding distances (in meters) were measured at 20
randomly selected road sites. The data are given below. A logger
working on the road claims the mean skidding distance is atleast 398
meters. Is there sufficient evidence to refute this claim? Use α = 0.05.
12. Suppose a consumer group rated 47 brands of toothpaste based
on whether or not the brand crries an American Dntal Association
(ADA) seal verifying effective decay prevention. The results of a
hypothesis test for the proportion of brands with the seal are shown
to the right. Complete parts a through c.
13. To use the t-statistic to test for a difference between the means
of two populations, what assumptions must be made about the two
populations? About the two samples?

14. A study was done to examine whether the perception of service
quality at hotels differed by gender. Hotel guests were randomly
selected to rate service items on a 5-point scale. The sum of the items
for each guest was determined and summary of the guest scores are
provided in the table. Complete parts a and b.
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. EX. 10) Given the following
hypotheses: H0 : µ = 400 H1: µ ≠ 400 A random sample
of 12 observations is selected from a normal
population. The sample mean was 407 and the sample
S.D 6. Using the 0.1 significance level: a. State the

decision rule. b. Compute the value of the test
statistic c. What is your decision regarding the null
hypothesis? EX 12) The management of White
Industries considering a new method of assembling
its golf cart. The present method requires 42.3
minutes, on the average, to assemble a cart. The mean
assembly time for a random sample of 24 carts, using
the new method, was 40.6 minutes, and the standard
deviation of sample was 2.7 minutes. Using the .10
level of significance, can we conduct that the
assembly time using the new method is faster? a.
What is the decision rule? b. Compute the value
of test statistic. c. What is your decision regarding
Ho? Ex 16) with the given hypotheses: A random
sample of six resulted in the following values: 118,
105, 112, 119, 105 and 111. Assume a normal population
a. Using the .05 significance level, determine the
decision rule? b. Compute the value of the test
static. c. 1. What is your decision regarding the
Ho? 2. Can we conclude the mean is different from
100? d. Estimate the p-value Chapter 11: Ex 2) A
sample of 65 observations is selected from one
population with a population standard deviation of
0.75. The sample mean is 2.67. A sample of 50
observations is selected from a second population
with a population standard deviation of 0.66. The
sample mean is 2.59. Conduct of the following test of
hypothesis using the .08 significance level. a.
This is a ……… tailed test b. State the decision
rule c. Compute the value of the test statistic d.
What is your decision regarding Ho? e. What is the

p-value? Ex 8) The null and alternate hypotheses are:
A random sample of 15 observations from the first
population revealed a sample mean of 350 and a
sample S.D of 12. A random sample of 17 observations
from the second population revealed a sample mean
of 342 and a sample S.D of 15. At the .10 significance
level, is there a difference in the population means?
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 14) The null and
alternate hypotheses are: A random sample of 20
items from the first population showed a mean of 100
and a S.D of 15. A sample of 16 items from the second
population showed a mean of 94 and a S.D of 8. Use the
.05 significance level a. Find the degrees of freedom
for unequal variance test b. State the decision rule
for .05 significance level? c. Compute the value of
test statistic. d. What is your decision regarding
null hypothesis? Chapter 12: Ex 8) The following are
six observations collected from treatment 1, four
observations collected from treatment 2, and five
observation collected from treatment 3. Test the
hypothesis at the 0.05 significance level that the
treatment means are equal. a. State the null and
the alternate hypothesis. b. What is the decision
rule? c. Compute SST SSE, SS total d. Complete the
ANOVA table. e. State your decision regarding null
hypothesis? Ex 12) From the given data of retail and
banking stock a. Using the .05 level of significance,
is there a difference in the mean rate of return

among the three types of stock? b. Can the analyst
conclude there is a difference between the mean
rates of return for utility and retail stocks? For
utility and banking stocks? For banking and a retail
stocks? Explain Ex 18) There are three hospitals in
the Tulsa, Oklahoma area. The following data show
the number of outpatient surgeries performed on
Monday, Tuesday, Wednesday, Thursday, and Friday at
a each hospital last week. At the 0.05 significance
level, can we conclude there is a difference in the
mean number of surgeries performed by hospital or
by day of the week? a. Set up the null hypothesis
and the alternative hypothesis. b. Alternative
hypothesis c. For blocks d. Alternative
hypothesis e. State the decision for .05
significance level f. Complete the ANOVA table g.
State your decision regarding null hypothesis? h.
The decision for F value at 0.05 significance is: i.
Can we conclude there is a difference in the mean
number of surgeries performed by hospital or by day
of the week? Chapter 13: EX. 16) Mr.James McWhinney,
president Daniel-James Financial Services, believes
there is a relationship between number of client
contacts and the dollar amount of sales. To document
this assertion, Mr.McWhinney gathered the following
sample information. The X column indicates the
number of client contacts last month, and column Y
shows the value of sales last month for each client
sampled a) Determine Regression equation b)
Determine Estimated sales if 40 contacts are
made EX.18) We are studying mutual bond funds for

the purpose of investing in several funds. For this
particular study, we want to focus on the assets of a
fund and its five-year performance. The question is:
can the five-year rate of return be estimated based
on the assets of the fund? Nine mutual funds were
selected at random and their assets and rates of
return are shown below. b-1. compute the coefficient
of correlation. b-2. Compute the coefficient of
determination c) Give a description of the degree of
association between the variables d) Determine the
regression equation. Use assets as the independent
variable. e) For a fund with $400.0 million in sales,
determine the five-year rate of return. EX.30) On the
first statistics exam, the coefficient of
determination between the hours studied and the
grade earned was 80%. The standard error of estimate
was 10. There were 20 students in the class. Develop
an ANOVA table for the regression analysis of hours
studied as a predictor of the grade earned on the
first statistics exam. Chapter 16: 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?
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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.
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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.
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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. 1. Choose
scattered diagram best fit data. 2. Fill in the blank below 3. 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. Ex 18) We are studying
mutual bond funds for the purpose of investing in several funds. For
this particular study, we want to focus on the assets fund and its
five-year performance. The question is : can the five-year rate of
return be estimated based on the assets of the fund? Nine mutual
funds were selected at random, and their assets and rates of returns
are shown below: b-1. Compute the coefficient of correlation. b-2.
Compute the coefficient of determination c. Give a description of
the degree of association between the variables. d. Determine the
regression equation. Use assets as the independent variable e. For

a fund with $400.0 million in sales, determine the five year rate of
return Ex 22) 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 last year The regression equation is y=11.18-
0.48X, the sample size is 12, and the standard error of the slope is
0.23. Use the .05 significance level. Can we conclude that the slope of
the regression line is less than zero? EX.26) 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 last year. a) Determine
standard error of estimation. b) Determine the coefficient of
determination. c) Interpret the coefficient of determination
Chapter 14: Ex 2) Thompson photo Works purchased several new,
highly sophisticated processing machines. The production
department needed some guidance with respect to qualification
needed by an operator. Is age a factor? Is the length of service as an
operator important? In order to explore further the factors needed
to estimate performance on the new processing machines, four
variables were listed? X1 = Length of time an employee was in
industry X2= Mechanical aptitude test score X3= Prior on-the-job
rating X4= Age Performance on the new machine is designated y. a.
What is this equation called? b. How many dependent and
independent variable are there? c. What is the number 0.286
called? d. As age increases by one year, how much does estimated
performance on the new machine increase? e. Carl Knox applied
for job at photo works? He has been in business for 6 yrs and scored
280 on the mechanical aptitude test Carl’s prior on-the-job
performance rating is 97, and he is 35 years old Ex 6) Consider the
ANOVA table that follows a.1. Determine the standard error of
estimate a.2. About 95% of the residuals will be between what two
values? b.1. Determine the coefficient of multiple determination. b.2.
Determine the percentage variation for the independent variables. c.
Determine the coefficient of multiple determinations, adjusted for
the degree of freedom Ex 8) The following regression output was

obtained from a study of architectural firms. The dependent
variables is the total amount of fees in millions of dollars. X1 is the
no of architects employed by the company X2 is the no of engineers
employed by the company X3 is the no of years involved with health
care projects X4 is the no of states in which the firm operates X5 is
the percent of the firm’s work that is health care-related a.
Write out the regression equation b. How large is the sample?
How many independent variables are there? 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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QNT 561 Week 5 Spicy Wings Case Study
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Week 5 Individual Paper • Spicy Wings Case Purpose of
Assignment 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? Format your
assignment consistent with APA format.
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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.

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