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QNT 561 Final Exam Guide (New)
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1. 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.
2. What conditions must n satisfy to make the x2
test valid?
3. 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?
4. Studies of managers from two countries in the 1970s found
sharp differences of opinion toward quality management. To find out
if these differences continue to exist, researchers surveyed 100
managers in each country in the electronics manufacturing industry.
The accompanying table gives the percentages of managers from
each country who agree with each of 10 randomly selected
statements regarding quality. Complete parts a through c.
5. Consider the horizandal box plot shown to the right.
6. A random sample of 100 observations from a population with
standard deviation 58 yielded a sample mean 111. Complete parts a
through c.
7. Graph the relative frequency histogram for the 300
measurements summarized in the relative frequency table to the
right.

8. Each month interviewrs 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. Complete parts a through c.
9. School bullying is a form of aggressive behaviour that occurs
when a student repeatedly to nagative actions from another student.
In oredr 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, 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.
10. A study analyzes recent incidents involving terrorist attcks. Data
on the number of individual suicide bombings that occurred in each
of 20 sampled terrorist group attacks against a country is reproduced
in the data table below. An EXCEL/DXL printout is shown to the right.
Complete parts a through e.
11. 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 the years 1988
and 2005.
12. Each child in a sample of 62 low-income was administrated 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.

13. 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 prevetion. The results of a
hypothesis test for the proportion of brands with the seal are shown
to the right. Complete parts a through c.
14. 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 variable measured were
self-knowledge skill level (x) and goalsetting ability (y). The
correlation coefficient was r = 0.82. Complete parts a through c
below.
15. Reference from the doc file of mentioned r value
16. 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.
17. Which hypothesis, the null or the alternative, is the status-quo
hypothesis?
18. 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.
19. Identify the problem(s) in the residual plots shown below.
20. A university economist conducted a study of elementary school
llunch menus. During the state-mandated testing period, school
lunches averaged 873 calories. The economist claimed that after the
testing period ended, the average caloric content of the school

lunches increased significantly. Set up the null and alternative
hypothesis to test the economist’s claim.
21. Compare the z-scores to decide which of the x values below lie
the greatest distance above the mean and the greatest distance
below the mean.
22. In one university, language professors incorporated a 10-week
extensive reading program to improve students’ Japanese reading
comprehension. The professors collected 283 books 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.
23. 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.
24. To determine if winning a certain award leads to a change in life
expectancy, researchers 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.
25. 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.
26. 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 413 meters. Is there sufficient evidence to refute this claim?
Use α = 0.10.
27. Consider the pairs of measurements shown to the right.
28. For the α and observed significance level (p-value) pair, indicate
whether the null hypothesis would be rejected.
29. 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 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.
There has been a recent trend for sports franchises in baseball,
football, basketball and hockey to build new stadiums and ballparks
in urban, downtown venues. A magazine investigated whether there
has been a significant 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.
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QNT 561 Final Exam Guide (New, 2019)

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 Final Guide (Latest)
1. A random sample of size 15 is selected from a normal population.
The population standard deviation is unknown. Assume the null
hypothesis indicates a two-tailed test and the researcher decided to
use the 0.10 significance level. For what values of t will the null
hypothesis not be rejected?
2. Which of the following is a characteristic of the F distribution?

3. For a chi-square test involving a contingency table, suppose the
null hypothesis is rejected. We conclude that the two variables are
__________.
4. A sales manager for an advertising agency believes that there is a
relationship between the number of contacts that a salesperson
makes and the amount of sales dollars earned. What is the
dependent variable?
5. Which of the following is most appropriately displayed with a
frequency table?
6. The manager of Paul's fruit and vegetable store is considering the
purchase of a new seedless watermelon from a wholesale distributor.
Since this seedless watermelon costs $4, will sell for $7, and is highly
perishable, he only expects to sell between six and nine of them.
What is the opportunity loss for purchasing nine watermelons when
the demand is for seven watermelons?
a) 8
b) 4
c) 12
d) 0

7. A firm offers routine physical examinations as part of a health
service program for its employees. The exams showed that 8% of the
employees needed corrective shoes, 15% needed major dental work,
and 3% needed both corrective shoes and major dental work. What is
the probability that an employee selected at random will need either
corrective shoes or major dental work?
a) .25
b) 1.00
c) .50
d) .20
8. When data is collected using a qualitative, nominal variable, what
is true about a frequency distribution that summarizes the data?
a) The upper and lower class limits must be calculated.
b) The number of classes is equal to the number of variables plus
2.
c) The “5 to the k rule” can be applied.
d) A pie chart can be used to summarize the data.
9. If an ANOVA test is conducted and the null hypothesis is rejected,
what does this indicate?
a) The p-value is less than a.
b) All population means are different.
c) At least one pair of population means is different.

d) The population means are equal.
10. A random sample of 20 items is selected from a population. When
computing a confidence interval for the population mean, what
number of degrees of freedom should be used to determine the
appropriate t-value?
a) 25
b) 21
c) 19
d) 20
11. The question, "Should products be withdrawn if even one death is
associated with its prescribed use, even if no fault for the tampered
product accrues to the manufacturer?" is an example of a(n) _____.
a) strip data mining issue
b) unresearchable question
c) ill-defined problem
d) favored-technique problem
12. A large department store examined a sample of the 18 credit card
sales and recorded the amounts charged for each of three types of
credit cards: MasterCard, Visa, and Discover. Six MasterCard sales,
seven Visa, and five Discover sales were recorded. The store used an

ANOVA to test if the mean sales for each credit card were equal.
What are the degrees of freedom for the F statistic?
a) 2 in the numerator, 15 in the denominator
b) 6 in the numerator, 15 in the denominator
c) 18 in the numerator, 3 in the denominator
d) 3 in the numerator, 18 in the denominator
13. A linear trend equation is used to represent time series values
when the data are changing by equal what?
a) amounts
b) percents and proportions
c) proportions
d) percents
14. Which of the following goals should a good survey instrument
accomplish?
a) Encourage each participant to provide accurate responses
b) Encourage participants to be succinct in their responses
c) Encourage participants to answer only those questions they
are comfortable answering
d) Encourage participants to end the survey when they feel they
have contributed enough information

15. Kroger, a grocery store chain, wants to identify the ideal store
layout for increasing store sales. Because it primarily uses two store
designs, one a grid layout with vertical aisles divided by a center aisle
and another using a traditional straight-aisle pattern, Kroger will
match pairs of stores that have different designs but similar shopper
demographics and location. Sales from each pair will then be
compared to determine if store design is related to sales. Which type
of study is this an example of?
a) Exploratory study
b) Case study
c) Ex post facto study
d) Longitudinal study
16. Bones Brothers & Associates prepare individual tax returns. Over
prior years, Bones Brothers has maintained careful records regarding
the time to prepare a return. The mean time to prepare a return is 90
minutes and the standard deviation of this distribution is 14 minutes.
Suppose 100 returns from this year are selected and analyzed
regarding the preparation time. What assumption do you need to
make about the shape of the population distribution of all possible
tax preparation times to make inferences about the mean time to
complete a tax form?
a) The population distribution is skewed to the left.
b) The population distribution is skewed to the right.
c) The shape of the population distribution does not matter.
d) The population distribution is normal.

17. Checklists with several items to be considered by respondents
may be subject to _____.
a) recency effects
b) leniency effects
c) halo effects
d) primacy effects
18. In a multiple rating list scale, ____.
a) participants rate multiple items on a 3-point scale
b) the participant is restricted to circling their rating
c) it is possible to visualize the results better than with other
numerical scales
d) the data generated are always ordinal
19. As the size of the sample increases, what happens to the shape of
the distribution of sample means?
a) It cannot be predicted in advance
b) It is positively skewed
c) It is negatively skewed
d) It approaches a normal distribution

20. For any chi-square goodness-of-fit test, the number of degrees of
freedom is found by ______.
a) n + k
b) k -1
c) n – k - 1
d) n + 1
21. BankChoice is concerned about stagnating profits and asks, "How
can profitability be improved?" This is an example of a(n) _____.
a) research question
b) measurement question
c) management question
d) investigative question
22. A machine is set to fill the small-size packages of M&M candies
with 56 candies per bag. A sample revealed three bags of 56, two
bags of 57, one bag of 55, and two bags of 58. To test the hypothesis
that the mean candies per bag is 56, how many degrees of freedom
are there?
a) 1
b) 7
c) 9
d) 8

23. An experimental study is one that _____.
a) attempts to reveal why or how one variable produces changes
in another
b) involves manipulation of one or more variables to determine
the effect on another variable
c) attempts to capture a population's characteristics by making
inferences from a sample's characteristics and testing resulting
hypotheses
d) discovers answers to the questions who, what, when, where,
or how much
24. The monthly salaries of a sample of 100 employees were rounded
to the nearest $10. They ranged from a low of $1,040 to a high of
$1,720. If we want to condense the data into seven classes, what is
the most convenient class interval?
a) $200
b) $50
c) $150
d) $100
25. Consider a regression analysis, where the correlation coefficient is
0.18. Then, the coefficient of determination is _______.
a) .0324

b) .36
c) 1.16
d) .424
26. In multiple regression analysis, when the independent variables
are highly correlated, this situation is called __________________.
a) homoscedasticity
b) curvilinearity
c) multicollinearity
d) autocorrelation
27. Sam's Club installed self-checkout stations that can track not only
member's purchases but also packaging problems, as the system uses
universal product codes to match the item the shopper has in their
cart with its price and inventory level in the store, generating a
spreadsheet style report for the researcher. If you consider the
scanner as the tool for collecting data for Sam's researchers, they are
doing data entry by ____.
a) spreadsheet
b) Optical Character Recognition
c) Field editing
d) Voice recognition

28. The weekly incomes of a large group of executives are normally
distributed with a mean of $2,000 and a standard deviation of $100.
What is the z-score for an income of $2,100?
a) 1.683
b) 0.90
c) 2.00
d) 1.00
29. A ranking scale is a scale that _____.
a) scores an object without making a direct comparison to
another object
b) groups participants
c) groups concepts according to specific criteria
d) scores an object by making a comparison and determining
order among two or more objects
30. What is the interpretation of a 96% confidence level?
a) The interval contains 96% of all sample means.
b) Approximately 96 out of 100 such intervals would include the
true value of the population parameter.
c) There's a 96% chance that the given interval includes the true
value of the population parameter.
d) There's a 4% chance that the given interval does not include
the true value of the population parameter.

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QNT 561 Week 1 Assignment Statistics Concepts and
Descriptive Measures Instructions (Consumer Food)
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)
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

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
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

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?
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

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.
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
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.
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.
.
==============================================
QNT 561 Week 1 Lab Work (New)
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?

==============================================
QNT 561 Week 2 Case Study MBA Schools in Asia Pacific
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.
==============================================
QNT 561 Week 2 DQ 1
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!
==============================================

QNT 561 Week 2 DQ 2
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!
==============================================
QNT 561 Week 2 Individual My Statslab Problem Set
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?
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.
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

The table below contains the average SAT scores for 10 states for the
years 1988 and 2005.
==============================================
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?
==============================================
QNT 561 Week 2 Team Assignment Business Research
Project Part 1 Business Problem and Research Questions
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.
==============================================
Project Part 1 Formulation of the Research Problem
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
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
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?
==============================================
QNT 561 Week 3 DQ 1
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?
==============================================
QNT 561 Week 3 DQ 2

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.
==============================================
QNT 561 Week 3 Individual Mystatslab Problem Set
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.

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?
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

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.
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.
on whether or not the brand carries an American Dental Association
(ADA) seal verifying effective decay prevention. The results of a
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.
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.
quality at hotels differd by gender. Hotel guests were randomly
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
profession and was born in the same era. The lifespan of each pair
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 x2succeseses 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
bullied another student. In a sample of 1358 boys, 745 Claimed they
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.
==============================================

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
==============================================
Project Part 2 Research Plan (2 Papers)
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
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.
==============================================
QNT 561 Week 4 Discussion Descriptive Statistics
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
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
What is the importance of pretesting questions and instruments?
What are risks of not doing this? Provide an example.
==============================================
behaviour, a road rage score was given. The drivers were also
grouped by annual income. The data were subjected to an analysis of
2. Researchers surveyed a random sample of 25 employees who
were enrolled in a certain program at one of three universities. These
individuals were divided into four distinct groups, 1, 2, 3, and 4,

depending on their job situation at a previous or current firm. The
sampled employees completed a questionnaire on their ethical
perceptions of downsizing. One item asked employees to respond to
the statement, “It is unethical for a downsizing decision to be
implemented on or prior to a major holiday.” Responses were
measured using a 5-point Likert scale, where 1 = strongly agree, 2 =
agree, 3 = neutral, 4 = disagree, and 5 = strongly disagree. Data on
both the qualitative variable “Group” and the quantitaive variable
“Ethics response” are shown in the accompanying table. The
researchers’ goal was to determine if any differences exist among the
mean ethics scores for the four groups. Complete parts a through d.
3. What conditions must n satisfy to make the x2
test valid?
4. There has been a recent trend for sports franchises in baseball,
football, basketball, and hockey to build new stadiums and ballsparks
has been a significanr suburban-to-urban shift in the location of
located downtown, 30%in central city, and 30% in suburban areas. In
5. Each child in a sample of 63 low-income children was
administered a language and communication exam. The sentence
complexity scires had a mean of 7.63 and a standard deviation of
8.95. Complete parts a through d.
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.
standard deviation 65 yielded a sample of 112. Complete parts a
through c.
10. A study analysis recent incidents involving terrorist attacks. Data
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.
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.
on whether or not the brand crries an American Dntal Association
(ADA) seal verifying effective decay prevention. The results of a

quality at hotels differed by gender. Hotel guests were randomly
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
profession and was born in the same era. The ilfespan of each pair
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
bullied another student. In a sample of 1358 boys, 747 claimed they
through f below.
==============================================

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?
==============================================
Project Part 3 Survey and Data Collection Plan (2 Sets)
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
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
What are differences between dependent and independent samples?
Provide examples. What are implications for determining the tests
used to analyze data?
==============================================

1. Consider the pairs of measurements shown to the right.
2. Researchers investigated the effect of tablet surface area to
volume on the rate at which a drug is released in a controlled-release
dosage. For six similarly shaped tablets with different weights and
thicknesses, the diffusional drug release rate (percentage of drug
released divided by the square root of time) was determined. The
experimental data are listed in the table. Complete parts a through d.
3. Many entrepreneurs have donated money to various causes.
Data on the total amount pledged and remaining net worth for the
10 top donors are given in the table. Complete parts a through d.
4. Explain what each of the following sample correlation
coefficients tells you about the relationship between the x and y
values in the sample.
5. Construct a scttergram for each data set. Then calculate r and
r2
for each data set. Interpret their values. Complete parts a through
d.
6. A university conducted a study on 446 business graduates who
had all completed the same business course. The study used
correlation coefficients to investigate the relationship between many
different business skills. Two of the many variables measured were
self-knowledge skill level (x) and goalsetting ability (y). The
correlation was r = 0.82. Complete parts a through c below.

7. Studies of managers from two countries in the 1970s found
differences of opinion toward quality management. To find out if
these differences continue to exist, researchers surveyed 100
managers in each country in the electronics manufacturing industry.
The accompanying table gives the percentages of managers from
each country who agree with each of 10 randomly selected
statements regarding quality. Complete parts a through c.
8. Suppose a statistication built a multiple regression model for
predicting the total number of runs scored by a baseball team during
a season.Use the β estimates to predict the number of runs scored by
a team with 303 walks, 856 singles, 263 doubles, 37 triples, and 124
home runs.
9. Consider fitting the multiple regression model, E(y), below. A
matrix of correlations for all pairs of independent variables on the
right. Do you detect a multicollinearity problem?
10. Identify the problem(s) in the residual plots shown below.
rage behaviour, a road rage score was given. The driver were also
grouped by animal income. The data were subjected to an analysis of
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
has been a significanr suburban-to-urban shift in the location of
located downtown, 30%in central city, and 30% in suburban areas. In

==============================================
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
Week 5 Individual Paper • Spicy Wings Case Purpose of Assignment
The purpose of this assignment is to develop students' abilities to
combine the knowledge of descriptive statistics covered in Weeks 1
and 2 and one-sample hypothesis testing to make managerial
decisions. In this assignment, students will develop the ability to use
statistical analysis and verify whether or not a claim is valid before
advertising it. Assignment Steps Resources: Microsoft Excel®, Spicy
Wings Case Study, Spicy Wings Data Set Develop a 700-word
statistical analysis. Use descriptive statistics to compute a measure of
performance John can use to analyze his delivery performance. Find
the following for your measures: • Mean • Standard deviation •
Sample size • Five-number summary on the total time Conduct a
formal hypothesis testing to help John decide whether to offer the
delivery guarantee or not. Estimate the probability of an order taking
longer than 30 minutes. Make a recommendation in a short narrative
including the following: • Based on the sampled data, should John
offer the guarantee? • What percent of the Saturday deliveries would
result in a customer receiving a free order? • What recommendations
might help John improve his Saturday delivery times? Format your
assignment consistent with APA format.
==============================================

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