QNT 561 NERD Education for Service--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)
QNT 561 Week 1 Assignment Statistics Concepts and Descriptive
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, 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 _______ 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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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 • 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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QNT 561 Week 1 Assignment Statistics Concepts and
Descriptive Measures Instructions (Financial Data)
www.qnt561nerd.com
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.
===================================================
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.
===================================================

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.
===================================================
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.
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 – p2 , 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
===================================================
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.
===================================================
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.
===================================================

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.
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.
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.
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?
===================================================
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
www.qnt561nerd.com
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
www.qnt561nerd.com

What are differences between dependent and independent samples?
Provide examples. What are implications for determining the tests used
to analyze data?
===================================================
www.qnt561nerd.com
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.
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?
===================================================
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.
===================================================
Part 4 Data Analysis (2 Sets)
www.qnt561nerd.com
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 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 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. Format your assignment consistent
with APA format. 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 enough
evidence to infer the leading candidate will garner enough votes to win.
Suppose in the exit poll from the state of Florida during the 2000 year
elections, the pollsters recorded only the votes of the two candidates
who had any chance of winning: Democrat Al Gore and Republican
George W. Bush. In a sample of 765 voters, the number of votes cast
for Al Gore was 358 and the number of votes cast for George W. Bush
was 407. The network predicts the candidate as a winner if he wins
more than 50% of the votes. The polls close at 8:00 P.M. Based on the
sample results, 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. Use 0.10 as the significance level (α).
Case Study #2 – SpeedX SpeedX, a large courier company, sends
invoices to customers requesting payment within 30 days. The bill lists
an address, and customers are expected to use their own envelopes to

return their payments. Currently, the mean and standard deviation of
the amount of time taken to pay bills are 24 days and 6 days,
respectively. The chief financial officer (CFO) believes including a
stamped self-addressed envelope would decrease the amount of time.
She calculates the improved cash flow from a 2-day decrease in the
payment period would pay for the costs of the envelopes and stamps.
You have an MBA from the University of Phoenix, and work for SpeedX
as a business analyst. One of your job duties is to run analytics and
present the results to the senior management for critical decision-
making. You see this as an opportunity to utilize some of the skills you
gained in the Statistics course. Because of your strong understanding
and background in inferential statistics, you decide to take up this
important assignment. 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).
===================================================
QNT 561 Week 6 DQs
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After reading chapter 12, explain how ANOVA could help to explain the
association between two variables. Give an example. After reading
chapter 13, how ANOVA could help to understand the expansion of the
hypothesis testing of two variables? After reading chapter 18, select a
TQM chart and explain how we use the chart selected.
===================================================
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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.
===================================================
QNT 561 Week 6 Signature Assignment (Consumer Food)
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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. Purpose
of Assignment 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
Resources: Microsoft Excel®, Signature Assignment Databases,
Signature Assignment Options, Part 3: Inferential Statistics Scenario:
Upon successful completion of the MBA program, say you work in the
analytics department for a consulting company. Your assignment is to
analyze one of the following databases: Manufacturing Hospital
Consumer Food Financial Select one of the databases based on the
information in the Signature Assignment Options. Provide a 1,600-word
detailed, statistical report including the following: Explain the context of
the case Provide a research foundation for the topic Present graphs
Explain outliers Prepare calculations Conduct hypotheses tests Discuss
inferences you have made from the results This assignment is broken
down into four parts: Part 1 – Preliminary Analysis Part 2 – Examination
of Descriptive Statistics Part 3 – Examination of Inferential Statistics
Part 4 – Conclusion/Recommendations Part 1 – Preliminary Analysis (3-
4 paragraphs) Generally, as a statistics consultant, you will be given a
problem and data. At times, you may have to gather additional data. For
this assignment, assume all the data is already gathered for you. State the
objective: What are the questions you are trying to address? Describe the
population in the study clearly and in sufficient detail: What is the
sample? Discuss the types of data and variables: Are the data
quantitative or qualitative? What are levels of measurement for the data?
Part 2 – Descriptive Statistics (3-4 paragraphs) Examine the given data.
Present the descriptive statistics (mean, median, mode, range, standard
deviation, variance, CV, and five-number summary). Identify any
outliers in the data. Present any graphs or charts you think are
appropriate for the data. 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? Format your assignment consistent
with APA format.
===================================================
QNT 561 Week 6 Signature Assignment (Hospital)
www.qnt561nerd.com
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. Purpose
of Assignment 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
Resources: Microsoft Excel®, Signature Assignment Databases,
Signature Assignment Options, Part 3: Inferential Statistics Scenario:

Upon successful completion of the MBA program, say you work in the
analytics department for a consulting company. Your assignment is to
analyze one of the following databases: Manufacturing Hospital
Consumer Food Financial Select one of the databases based on the
information in the Signature Assignment Options. Provide a 1,600-word
detailed, statistical report including the following: Explain the context of
the case Provide a research foundation for the topic Present graphs
Explain outliers Prepare calculations Conduct hypotheses tests Discuss
inferences you have made from the results This assignment is broken
down into four parts: Part 1 – Preliminary Analysis Part 2 – Examination
of Descriptive Statistics Part 3 – Examination of Inferential Statistics
Part 4 – Conclusion/Recommendations Part 1 – Preliminary Analysis (3-
4 paragraphs) Generally, as a statistics consultant, you will be given a
problem and data. At times, you may have to gather additional data. For
this assignment, assume all the data is already gathered for you. State the
objective: What are the questions you are trying to address? Describe the
population in the study clearly and in sufficient detail: What is the
sample? Discuss the types of data and variables: Are the data
quantitative or qualitative? What are levels of measurement for the data?
Part 2 – Descriptive Statistics (3-4 paragraphs) Examine the given data.
Present the descriptive statistics (mean, median, mode, range, standard
deviation, variance, CV, and five-number summary). Identify any
outliers in the data. Present any graphs or charts you think are
appropriate for the data. 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? Format your assignment consistent
with APA format.
===================================================
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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