MATH 533 RANK Achievement Education--math533rank.com

MATH 533 Entire Course (New)
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MATH 533 Week 1 Homework
MATH 533 Week 1 Quiz
MATH 533 Week 2 DQ 1 Case Let's Make a Deal
MATH 533 Week 2 Homework (2 Sets)
MATH 533 Week 3 DQ 1 Ethics in Statistics Readings and
Discussion
MATH 533 Week 3 Quiz (2 Sets)
MATH 533 Week 4 DQ 1 Case Statistics in Action: Medicare Fraud
Investigations
MATH 533 Week 4 Quiz (2 Sets)
MATH 533 Week 5 DQ 1 Case Statistics in Action: Diary of a
Kleenex User
MATH 533 Week 6 DQ 1 Case: Statistics in Action: Legal
Advertising—Does It Pay?

MATH 533 Week 7 DQ 1 Case: Statistics in Action: Bid-Rigging in
the Highway Construction Industry
MATH 533 Week 6 Course Project Part B Hypothesis Testing and
Confidence Intervals (SALESCALL Project)
MATH 533 Week 7 Course Project Part C: Regression and
Correlation Analysis (SALESCALL Project)
MATH 533 Final Exam Set 1
MATH 533 Final Exam Set 2
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MATH 533 Final Exam Set 1 (New)
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1. (TCO D) PuttingPeople2Work has a growing business placing
out-of-work MBAs. They claim they can place a client in a job in
their field in less than 36 weeks. You are given the following data
from a sample.
Sample size: 100
Population standard deviation: 5

Sample mean: 34.2
Formulate a hypothesis test to evaluate the claim. (Points : 10)
Ans. b.
H0 must always have equal sign, < 36 weeks
2. (TCO B) The Republican party is interested in studying the
number of republicans that might vote in a particular congressional
district. Assume that the number of voters is binomially distributed
by party affiliation (either republican or not republican). If 10
people show up at the polls, determine the following:
Binomial distribution
3. (TCO A) Company ABC had sales per month as listed below.
Using the Minitab output given, determine:
(A) Range (5 points);
(B) Median (5 points); and
(C) The range of the data that would contain 68% of the results. (5
points).
Raw data: sales/month (Millions of $)
(TCO A) Company ABC had sales per month as listed below. Using
the MegaStat output given, determine:
(A) Range (5 points)
(B) Median (5 points)
(C) The range of the data that would contain 68% of the results. (5
points)
4. (TCO C, D) Tesla Motors needs to buy axles for their new car.
They are considering using Chris Cross Manufacturing as a vendor.
Tesla's requirement is that 95% of the axles are 100 cm ± 2 cm. The

following data is from a test run from Chris Cross Manufacturing.
Should Tesla select them as a vendor? Explain your answer.
Descriptive statistics
Tesla Motors needs to buy axles for their new car. They are
considering using Chris Cross Manufacturing as a vendor. Tesla’s
requirement is that 95% of the axles are 100 cm ± 5 cm. The
following data is MegaStat output from a test run from Chris Cross
Manufacturing.
Descriptive statistics
Question: Should Tesla select them as a vendor? Explain your
answer.
Answers (1)
• Given that,
Tesla Motors needs to buy axles for their new car.
They are considering using Chris Cross Manufacturing as a vendor.
Tesla’s requirement is that 95% of the axles are 100 cm ± 5 cm.
The following data is MegaStat output from a test run from Chris
Cross Manufacturing:
5. (TCO D) A PC manufacturer claims that no more than 2% of
their machines are defective. In a random sample of 100 machines,
it is found that 4.5% are defective. The manufacturer claims this is
a fluke of the sample. At a .02 level of significance, test the
manufacturer's claim, and explain your answer.
Final Page 2
1. (TCO B) The following table gives the number of visits to
recreational facilities by kind and geographical region.

(Points : 30)
2. (TCO B, F) The length of time Americans exercise each week is
normally distributed with a mean of 15.8 minutes and a standard
deviation of 2.2 minutes
X P(X≤x) P(X≥x) Mean Std dev
11 .0146 .9854 15.8 2.2
15 .3581 .6419 15.8 2.2
21 .9910 .0090 15.8 2.2
24 .9999 .0001 15.8 2.2
p(lower) p(upper)
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MATH 533 Final Exam Set 2 (New)
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1. (TCO A) Seventeen salespeople reported the following number of
sales calls completed last month.
72 93 82 81 82 97 102 107 119
86 88 91 83 93 73 100 102
a. Compute the mean, median, mode, and standard deviation, Q1,
Q3, Min, and Max for the above sample data on number of sales
calls per month.
b. In the context of this situation, interpret the Median, Q1, and Q3.
(Points : 33)

a.
b. Median of the above sales calls means that if all the sales
calls data points are arranged in an ascending order, then 91 Nos.
of calls made would fall in the middle. So, there are as 8 sales calls
2. (TCO B) Cedar Home Furnishings has collected data on their
customers in terms of whether they reside in an urban location or a
suburban location, as well as rating the customers as either “good,”
“borderline,” or “poor.” The data is below.
Urban Suburban Total
Good 60 168 228
Borderline 36 72 108
Poor 24 40 64
Total 120 280 400
If you choose a customer at random, then find the probability that
the customer
a. is considered “borderline.”
b. is considered “good” and resides in an urban location.
c. is suburban, given that customer is considered “poor.” (Points :
18)
3. (TCO B) Historically, 70% of your customers at Rodale
Emporium pay for their purchases using credit cards. In a sample
of 20 customers, find the probability that
a. exactly 14 customers will pay for their purchases using credit
cards.
b. at least 10 customers will pay for their purchases using credit
cards.

4. (TCO B) The demand for gasoline at a local service station is
normally distributed with a mean of 27,009 gallons per day and a
standard deviation of 4,530 gallons per day.
a. Find the probability that the demand for gasoline exceeds 22,000
gallons for a given day.
c. How many gallons of gasoline should be on hand at the
beginning of each day so that we can meet the demand 90% of the
time (i.e., the station stands a 10% chance of running out of
gasoline for that day)? (Points : 18)
5. (TCO C) An operations analyst from an airline company has
been asked to develop a fairly accurate estimate of the mean
refueling and baggagehandling time at a foreign airport. A random
sample of 36 refueling and baggage handling times yields the
following results.
Sample Size = 36
Sample Mean = 24.2 minutes
Sample Standard Deviation = 4.2 minutes
a. Compute the 90% confidence interval for the population mean
refueling and baggagetime.
b. Interpret this interval.
c. How many refueling and baggage handling times should be
sampled so that we may construct a 90% confidence interval with a
sampling error of .5 minutes for the population mean refueling and
baggage time? (Points : 18)
6. (TCO C) The manufacturer of a certain brand of toothpaste
claims that a high percentage of dentists recommend the use of their
toothpaste. A random sample of 400 dentists results in 310
recommending their toothpaste.

a. Compute the 99% confidence interval for the population
proportion of dentists who recommend the use of this toothpaste.
b. Interpret this confidence interval.c. How large a sample size will
need to be selected if we wish to have a 99% confidence interval that
is accurate to within 3%? (Points : 18)
7. (TCO D) A Ford Motor Company quality improvement team
believes that its recently implemented defect reduction program has
reduced the proportion of paint defects. Prior to the implementation
of the program, the proportion of paint defects was .03 and had
been stationary for the past 6 months. Ford selects a random sample
of 2,000 cars built after the implementation of the defect reduction
program. There were 45 cars with paint defects in that sample. Does
the sample data provide evidence to conclude that the proportion of
paint defects is now less than .03 (with a = .01)? Use the hypothesis
testing procedure outlined below.
a. Formulate the null and alternative hypotheses.
b. State the level of significance.
c. Find the critical value (or values), and clearly show the rejection
and nonrejection regions.
d. Compute the test statistic.
e. Decide whether you can reject Ho and accept Ha or not.
f. Explain and interpret your conclusion in part e. What does this
mean?
g. Determine the observed p-value for the hypothesis test and
interpret this value. What does this mean?
h. Does the sample data provide evidence to conclude that the
proportion of paint defects is now less than .03 (with a = .01)?
(Points : 24)

8. (TCO D) A new car dealer calculates that the dealership must
average more than 4.5% profit on sales of new cars. A random
sample of 81 cars gives the following result.
Sample Size = 81
Sample Mean = 4.97%
Sample Standard Deviation = 1.8%
Does the sample data provide evidence to conclude that the
dealership averages more than 4.5% profit on sales of new cars
(using a = .10)? Use the hypothesis testing procedure outlined
below.
a. Formulate the null and alternative hypotheses.
b. State the level of significance.
c. Find the critical value (or values), and clearly show the rejection
and nonrejection regions.
d. Compute the test statistic.
e. Decide whether you can reject Ho and accept Ha or not.
f. Explain and interpret your conclusion in part e. What does this
mean?
g. Determine the observed p-value for the hypothesis test and
interpret this value. What does this mean?
h. Does the sample data provide evidence to conclude that the
dealership averages more than 4.5% profit on sales of new cars
(using a = .10)? (Points : 24)
1. (TCO E) Bill McFarland is a real estate broker who specializes
in selling farmland in a large western state. Because Bill advises
many of his clients about pricing their land, he is interested in

developing a pricing formula of some type. He feels he could
increase his business significantly if he could accurately determine
the value of a farmer’s land. A geologist tells Bill that the soil and
rock characteristics in most of the area that Bill sells do not vary
much. Thus the price of land should depend greatly on acreage. Bill
selects a sample of 30 plots recently sold. The data is found below
(in Minitab), where X=Acreage and Y=Price ($1,000s).
a. Analyze the above output to determine the regression equation.
b. Find and interpret in the context of this problem.
c. Find and interpret the coefficient of determination (r-squared).
d. Find and interpret coefficient of correlation.
= .05) that the acreage can be used to predict the price? Test the
utility of this model using a two-tailed test. Find the observed p-
value and interpret. ae. Does the data provide significant evidence (
f. Find the 95% confidence interval for mean price of plots of
farmland that are 50 acres. Interpret this interval.
g. Find the 95% prediction interval for the price of a single plot of
farmland that is 50 acres. Interpret this interval.
h. What can we say about the price for a plot of farmland that is 250
acres? (Points : 48)
1. (TCO E) An insurance firm wishes to study the relationship
between driving experience (X1, in years), number of driving
violations in the past three years (X2), and current monthly auto
insurance premium (Y). A sample of 12 insured drivers is selected
at random. The data is given below (in MINITAB):
a. Analyze the above output to determine the multiple regression
equation.

b. Find and interpret the multiple index of determination (R-Sq).
= .05). Interpret your results. ac. Perform the t-tests on and on (use
two tailed test with (
d. Predict the monthly premium for an individual having 8 years of
driving experience and 1 driving violation during the past 3 years.
Use both a point estimate and the appropriate interval estimate.
(Points : 31)
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MATH 533 Week 1 Homework (New)
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1. Complete the table to the right.
2. In one university, language incorporated a 10-week extensive
reading program to improve students’ Japanese reading
comprehension. The professors collected 267 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.
3. Convert the relative frequency bar graph into a Pareto
diagram. Interpret the graph. Choose the correct graph below.
4. Consider the stem-and-leaf display to the right.
5. MINITAB was used to generate the histogram to the right.
6. Calculate the mean, median, and mode of the following data.

12 18 19 11 13 18 20 15 18 14
13
7. For one study, reasearchers sampled over 100,000 first-time
candidates for the certified public account (CPA) exam and reached
the total semester hours of college credit for each candidate. The
mean and median for the data set were 146.73 and 153 hours,
respectively. Interpret these values. Make a statement about the type
of skewness, if any, that exists in the distribution of total semester
hours.
8. Calculate the range, variance and standard deviation for the
following sample.
3, 4, 2, 2, 6, 1, 6
9. Consider the data below on the number of carats for 8
diamonds. Complete parts a through d.
0.39 0.78 0.71 0.65 0.45 1.17 0.78 0.97
10. Compute the z-score corresponding to each of the values of x
below.
11. A sample data set has a mean of 67 and a standard deviation of
15. Determine whether each of the following sample measurements
are outliers.
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MATH 533 Week 1 Quiz (New)
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1. Graph the relative frequency histogram for the 300
measurements summarized in the relative frequency table to the
right.
2. Would you expect the data sets that follow to possess relative
frequency distributions that are symmetric, skewed to the right, or
skewed to the left? Explain. Complete parts a through c below.
3. Consider the following sample of five measurements.
3, 4, 5, 2, 6
4. MINITAB was used to generate the histogram to the right.
5. A university’s language professors incorporated a 10-week
extensive reading 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.
6. Calculate the mean for samples for which the sample size and
∑x are given below.
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MATH 533 Week 2 DQ 1 Case Let's Make a Deal (New)
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A number of years ago, there was a popular television game show
called Let's Make a Deal. The host, Monty Hall, would randomly
select contestants from the audience and, as the title suggests, he

would make deals for prizes. Contestants would be given relatively
modest prizes and then would be offered the opportunity to risk that
prize to win better ones.
Suppose you are a contestant on this show. Monty has just given
you a free trip worth $500 to a locale that is of little interest to you.
He now offers you a trade: Give up the trip in exchange for a
gamble. On the stage are three curtains, A, B, and C. Behind one of
them is a brand-new car worth $45,000. Behind the other two
curtains, the stage is empty.
You decide to gamble and give up the trip. (The trip is no longer an
option for you.) You must now select one of the curtains. Suppose
you select Curtain A.
In an attempt to make things more interesting, Monty then exposes
an empty stage by opening Curtain C (he knows that there is
nothing behind Curtain C). He then asks you if you want to keep
Curtain A, or switch to Curtain B.
What would you do?
Hint: Questions to consider are: What is the probability of winning
and the probability of losing the car prior to opening Curtain C?
What is the probability of winning and the probability of losing the
car after Curtain C is opened? What is your best strategy?
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MATH 533 Week 2 Homework (2 Sets) (New)
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1. The table to the right gives a breakdown of 2,149 civil cases
that were appealed. The outcome of the appeal, as well as the type of
trial (judge or jury), was determined for each case. Suppose one of
the cases is selected at random and the outcome of the appeal and
type of trial are observed.
2. Zoologists investigated the likelihood of fallow deer bucks
during the mating season. Researchers recorded 163 encounters
between two bucks, one of which clearly initiated the encounter with
the other. In these 163 initiated encounters, the zoologists kept track
or not a physical contact fight occurred and whether the initiator
ultimately won or lost the encounter. Suppose we select one of these
163 encounters and note the outcome (fight status and winner).
Complete parts a through c.
3. Suppose 90% of kids who visit a doctor have a fever, and 10%
of kids with a fever have sore throats. What’s the probability that a
kid who goes to the doctor has a fever and a sore throat?
4. A table of classifying a sample of 78 patrons of a restaurant
according to type of meal and their rating of the service is shown to
the right. Suppose we select, at random, one of the 78 patrons.
Given that the meal was dinner, what is the probability that the
service was good?
5. The chance of winning a lottery game is 1 in approximately 26
million. Suppose you buy a $1 lottery ticket in anticipation of
winning the $4 million grand prize. Calculate your expected net
winnings for this single ticket. Interpret the result.
6. In a driver-side “star” scoring system for crash-testing new
cars, each crash-tested car is given a rating from one star to five
stars; the more stars in the rating the better is the level of crash
protection in a head-on collision. A summary of the driver-side star

ratings for 98 cars is reproduced in the accompanying table.
Assume that 1 of 98 cars is selected at random, and let x equal the
number of stars in the car’s driver-side star rating. Complete parts a
through d.
7. If x is a binomial random variable, use the binomial
probability table to find the probabilities below.
8. If x is a binomial random variable, calculate µ, , and for each
of the following values of n and p. Complete parts a through f.
9. A country’s government has devoted considerable funding to
missile defense research over the past 20 years. The latest
development is the Space-Based Infrared System (SBIRS), which
uses satellite imagery to detect and track missiles. The probability
that an intruding object (e.g., a missile) will be detected on a flight
track by SBIRS is 0.6. Consider a sample of 10 simulated tracks,
each with an intruding object. Let x equal the number of these
tracks where SBIRS detects the object. Complete parts a through d.
10. Many primary care doctors feel overworked and burdened by
potential lawsuits. In fact, a group of researchers reported medicine
as a career. Let x represent the number of sampled general practice
physicians who do not recommend medicine as a career. Complete
parts a through d.
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1. A country’s government has devoted considerable funding to
missile defense research over the past 20 years. The latest
development is the Space-Based Infrared System (SBIRS), which
uses satellite imagery to detect and track missiles. The probability
that an intruding object (e.g., a missile) will be detected on a flight
track by SBIRS is 0.6. Consider a sample of 10 simulated tracks,
each with an intruding object. Let x equal the number of these
tracks where SBIRS detects the object. Complete parts a through d.
2. According to a consumer survey of young adults (18-24 years
of age) who shop online, 18% own mobile phone with internet
access. In a random sample of 200 young adults who shop online,
let x be the numbers who own a mobile phone with internet access.
3. A table classifying a sample of 141 patrons of a restaurant
according to type of meal and their rating of the service is shown to
the right. Suppose we select, at random, one of the 141 patrons.
Given that the meal was dinner, what is the probability that the
service was good?
4. If x is a binomial random variable, use the binomial
probability table to find the probabilities below.
5. The chances of a tax return being audited are about 17 in
1,000 if an income is less than $100,000 and 34 in 1,000 if an
income is $100,000 or more. Complete parts a through e.
6. A national standard requires that public bridges over 20 feet in
length must be inspected and rated every 2 years. The rating scale
from 0 (poorest rating) to 9 (highest rating). A group of engineers
used a probabilistic model to forecast the inspiration of all major
bridges in a city. For the year 2020, the engineers forecast that 6%
of all major bridges in that city will have ratings of 4 or below.
Complete parts a and b.

7. Zoologists investigated the likelihood of fallow deer bucks
fighting during the mating season. During a 270-hour observation
period, the researchers recorded 205 encounters between two bucks.
Of these, 161 involved one buck clearly initiating the encounter with
the other. In these 161 initiated encounters, the zoologists kept track
of whether or not a physical contact fight occurred and whether the
initiator ultimately won or lost the encounter. (The buck that is
driven away by the other is considered the loser.) Suppose we select
one of these 161 encounters and note the outcome (fight status and
winter).
8. According to a certain golf association, the weight of the golf
ball shall not be greater than 1,620 ounces (45.93 grams). The
diameter of the ball shall not be less than 1.680 inches. 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
random 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 golf association’s approved list. Complete parts
a and b.
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MATH 533 Week 3 DQ 1 Ethics in Statistics Readings and
Discussion (New)
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Why is it important to study ethics in statistics? Have you seen
statistics misused? Without naming specific companies or people,
can you provide examples?

Please find (on the Internet or from the Keller library) and post an
article regarding ethics and statistics. Please attach the article, or
provide its link in your post, together with a brief summary of the
article in your own words. Be sure to use quotation marks around
any words taken directly from the article (not to do so constitutes
“plagiarism”). Then, in a separate post, review one or more articles
posted by other students and provide the other student or students
with your reflections (don’t just agree or disagree).
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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 3.3 miles per gallon.
2. The ages of a group of 50 women are approximately normally
distributed with a mean of 49 years and a standard deviation of 5
years. One woman is randomly selected from the group, and her age
is observed.
3. Resource Reservation Protocol (RSVP) was originally
designed to establish signaling links for stationary networks. RSVP
was applied to mobile wireless technology. A simulation study
revealed that the transmission delay (measured in milliseconds) of
an RSVP linked wireless device has an approximate normal
distribution with mean µ = 49.5 milliseconds and milliseconds.
Complete parts a and b.

4. Almost all companies utilize some type of year-end
performance review for their employees. Human Resources (HR) at
a university’s Health Science Center provides guidelines for
supervisors rating their subordinates. For example, raters are
advised to examine for tendency to be either too lenient or too
harsh. According to HR, “if you have this tendency, consider using
a normal distribution—10% of employees (rated) exemplary, 20%
distinguished, 40% competent, 20% marginal, and 10%
unacceptable. “Suppose you are rating an employee’s performance
on a scale of 1 (lowest) to 100 (highest). Also, assume the ratings
follow a normal distribution with a mean of 49 and a standard
deviation of 15. Complete parts a and b.
5. 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 78 and standard deviation 6.6.
6. Before negotiating a long-term construction contract, building
contractors must carefully estimate the total cost of completing the
project. At a certain university, a contractor proposed a model for
total cost of a long-term contract based on the normal distribution.
For one particular construction contract, the university assumed
total cost, x, to be normally distributed with mean $860,000 and
standard deviation $180,000. The revenue, R, promised to the
contractor is $1,000,000.
7. The characteristics of an industrial filling process in which an
expensive liquid is injected into a container was investigated. The
quantity injected per container is approximately normally
distributed with mean 10 units and standard deviation 0.02 units.
Each unit of fill costs $10 per unit. If a container contains less than
10 units (that is, is underfilled), it must be reprocessed at a cost of

$14. A property filled container sells for $125. Complete parts a
through c.
8. A random sample of n = 100 observations is drawn from a
population with mean equal to 46 and a standard deviation to 40.
9. A random sample of n = 64 observations is drawn from a
population with a mean equal to 21 and a standard deviation equal
to 16.
10. The average salary for a certain profession is $74,500. Assume
that the standard deviation of such salaries is $32,500. Consider a
random sample of 52 people in this profession and let x represent
the mean salary for the sample.
11. Some students paid a private tutor to help them their results on
a certain mathematical test. These students had a mean change in
score of +17 points, with a standard deviation of 69 points. In a
random sample of 100 students who pay a private tutor to help them
improve their results, what is the likelihood that change in the
sample mean score is less than 10 points?
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MATH 533 Week 3 Quiz (2 Sets) (New)
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1. The average salary for a certain profession is $97,000. Assume
that the standard deviation of such salaries is $33,500. Consider a
random sample of 54 people in this profession and let x represent
the mean salary for the sample.

2. Almost all companies utilize some type of year-end
performance review for their employees. Human Resources (HR) at
a university’s Health Science Center provides guidelines for
supervisors rating their subordinates. For example, raters are
advised to examine their ratings for a tendency to be either too
lenient or too harsh. According to HR, “if you have this tendency,
consider using a normal distribution-----10% of employees (rated)
exemplary, 20% distinguished, 40% competent, 20% marginal, and
10% unacceptable “Suppose you are rating an employee’s
performance on a scale of 1 (lowest) to 100 (highest). Also, assume
the ratings follow a normal distribution with a mean of 50 and a
standard deviation of 16. Complete parts a and b.
3. Suppose a geyser has a mean time between eruptions of 60
minutes. If the interval of time between the eruptions is normally
distributed with standard deviation 23 minutes, answer the following
questions.
4. Assume the random variable X is normally distributed with
mean µ = 50 and standard deviation. Complete the probability. Be
sure to draw a normal curve with the area corresponding to the
probability shaded.
P(34 < X < 62)
5. 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 3.3 miles per gallon.
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MATH 533 Week 4 DQ 1 Case Statistics in Action:
Medicare Fraud Investigations (New)

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Read the selection in your textbook pertaining to the Case: Statistics
in Action: Medicare Fraud Investigations; load the data set for the
case, MCFRAUD, into Minitab; answer the question about the case
in the Discussion area; and likewise read and respond to the follow-
on selections in the textbook for the case in the Statistics in Action
Revisited.
What is a point estimate of the mean overpayment?
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1. 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 43 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 the number of
latex gloves used per week are x = 19.4 and s = 12.3. Complete parts
(a) – (d).
2. The white wood material used for the roof of an ancient
temple is imported from a certain country. The wooden roof must
withstand as much as 100 centimeters of snow in the winter.
Architects at a university conducted a study to estimate the mean
bending strength of the white wood roof. A sample of 25 pieces of

the imported wood were tested and yielded the statistics x = 74.9 and
s = 10.8 on breaking strength of the white wood with a 99%
confidence interval. Interpret the result.
3. A group of researchers wants to estimate the true mean
skidding distance along a new road in a certain forest. The skidding
distances (in meters) were measured at 20 randomly selected road
sites. These values are given in the accompanying table. Complete
parts a through d.
4. In sociology, a personal network is defined as the people with
whom you make frequent contact. A research program used a
stratified random sample of men and women born between 1908
and 1937 to gauge the size of the personal network of older adults.
Each adult in the sample was asked to “please name the people you
have frequent contact with and who are also important to you.”
Based on the number of people named, the personal network size
for each adult was determined. The responses of 2,824 adults in this
sample yielded statistics on network size, that is, the mean number
of people named person was 14.3, with a standard deviation of 10.2.
5. 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.
6. A random sample of 1040 satellite radio subscribers was
asked, “Do you have a satellite radio receiver in your car?” The
survey found that 312 subscribes did, in fact, have a satellite
receiver in their car.
7. In 2006, a survey of 400 adults in a region found that 45% had
access to a high-speed Internet connection at home.
8. A gigantic warehouse stores approximately 80 million empty
aluminum beer and soda cans. Recently, a fire occurred at the

warehouse. The smoke from the fire contaminated many of the cans
with black spot, rendering them unusable. A statistician was hired
by the insurance company to estimate p, the true proportion of cans
in the warehouse that were contaminated by their fire. How many
aluminum cans should be randomly sampled to estimate p to within
0.08 with 90% confidence?
9. According to an article the bottled water you are drinking may
contain more bacteria and other potentially carcinogenic chemicals
than are allowed by state and federal regulations. O the more than
1300 bottles studied, nearly one-third exceeded government levels.
Suppose that a department wants an updated estimate of the
population proportion of bottled water that violates at least one
government standard. Determine the sample size (number of bottles)
needed to estimate this proportion to within +/- 0.02 with 99%
confidence.
10. A company tests all new brands of golf balls to ensure that they
meet certain specifications. One test conducted is intended to
measure the average distance traveled when the ball is hit by a
machine. Suppose the company wishes to estimate the mean
distance for a new brand within 1.2 yards with 90% confidence.
Assume that past tests have indicated that the standard deviation of
the distances the machine hits golf balls is approximately 10 yards.
How many golf balls should be hit by the machine to achieve the
desired accuracy in estimating the mean?
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MATH 533 Week 4 Quiz (2 Sets) (New)
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1. A random samples of 1020 satellite radio subscribers were
asked, “Do you have a satellite radio receiver in your car?” The
survey found that 102 subscribers did, in fact, have a satellite
receiver in their car.
2. Each child in a sample of 64 low-income children was
administered a language and communication exam. The sentence
complexity scores had a mean of 7.62 and a standard deviation of
8.91. Complete parts a through d.
3. In a sample of 60 stores of a certain company, 50 violated a
scanner accuracy standard. It has been demonstrated that the
conditions for a valid large-sample confidence interval for the true
proportion of the stores that violate the standard were not met.
Determine the number of stores that must be sampled in order to
estimate the true proportion to within 0.05 with 95% confidence
using the large-sample method.
4. A company wants to test a randomly selected sample of n water
specimens and estimate the mean daily rate of pollution produced by
a mining operation. If the company wants a 90% confidence
interval estimate with a sampling error of 1.8 milligrams per liter
(mg/L), how many water specimens are required in the sample?
Assume prior knowledge indicates that pollution readings in water
samples taken during a day are approximately normally distributed
with a standard deviation equal to 8 mg/L.
5. The white wood material used for the roof of an ancient
temple is imported from a certain country. The wooden roof must
withstand as much as 100 centimeters of snow in the winter.
Architects at a university conducted a study to estimate the mean
bending strength of the white roof. A sample of 25 pieces of the
imported wood were tested and yielded the statistics x = 74.5 and s =

10.3 on breaking strength (MPa). Estimate the true mean breaking
strength of the white wood with a 99% confidence interval. Interpret
the result.
==============================================
MATH 533 Week 5 DQ 1 Case Statistics in Action: Diary
of a Kleenex User (New)
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Read the selection in your text book pertaining to the Case:
Statistics in Action: Diary of a Kleenex® User; load the data set for
the case, TISSUES, into Minitab; answer the question about the
case in the Discussion area; and likewise read and respond to the
follow-on selections in the textbook for the case in the Statistics in
Action Revisited.
How would you briefly summarize the case, and the data that was
generated?
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1. A study of n = 90,000 first-time candidates for an exam found
that the number of semester hours of college credit taken by the
sampled candidates is summarized by x = 145.72 and s = 18.53. A
professor claims that the true mean number of semester hours of
college credit taken is 145.
2. A study of n = 59 hospital employees found that the number of
latex gloves used per week by the sampled worker is summarized by
x = 21.2 and s = 13.1. Let µ represent the mean number of latex
gloves used per week by all hospital employees. Consider testing
3. The 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 255 games. The sample mean
and sample standard deviation of the point-spread errors are x = 1.3
and s = 12.9. Use this information to test the hypothesis that the true
mean point-spread error for all games is larger than 0. Conduct the
test at and interpret the result.
4. For the and observed significance level (p-value) pair,
indicate whether the null hypothesis would be rejected. , p-value =
0.05
5. Consider a test of performed with the computer. The software
reports a two-tailed p-value of 0.1032. Make the appropriate
conclusion for each of the following situations.
6. When bonding teeth, orthodonists must maintain a dry filed. A
new bonding adhesive has been developed to eliminate the
neccessity of a try field. However, there is concern that the new
bonding adhesive is not as strong as the current standard, a
composite adhesive. Tests on a sample of 12 extracted teeth bonded
with the new adhesive resulted in a mean breaking srength (after 24
hours) of x = 5.83 Mpa and a standard deviation of s = 0.49 Mpa.

Orthodontists want to know if the true mean breaking strength is
less than 6.46 Mpa, the mean braking strength of the composite
adhesive.
7. Whether 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 418 meters. Is there sufficient evidence to refute this claim?
Use α = 0.10.
8. Suppose 47 0f 110 randomly selected shoppers believe that
“Made in the USA” means that 100% of labor and materials are
from the United States. Let p represent the true proportion of
consumers who believe “Made in the USA” means 100% of labor
and materials are from the United States. Complete parts a through
e.
9. The National Institute for Standards and Technology (NIST)
mandates that for every 100 items scanned through the electronic
checkout scanner at a retail store, no more than two should have an
inaccurate price. A study of random items purchased at different
California stores found that 3.3% had the wrong price. Assume that
the study inclluded 841 randomly selected items. Complete parts a
through e.
10. Suppose a consumer group rated 44 brands of toothpaste based
on whether or not the brand an American Dental Association
(ADA) seal verifying effective decay prevention. The results of a
hypothesis test for the proportion of brands with the seal to the
right. Complete parts a through c.
==============================================

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1. A group of professors investigated first-year college students’
knowledge of astronomy. One concept of interest was the Big Bang
Theory of the creation of the universe. In a sample 0f 141 freshman
students, 35 believed that the Big Bang Theory accurately described
the creation of plantery systems. Baesd on this information, is it
correct at the α = 0.01 level of significance to state that more than
20% of all freshman college students believe the Big Bang theory
describes the creation of planetary systems?
2. A study was conducted to evaluate the effectiveness of a new
mosquito repellent designed by the U.S. Army to be applied as
camouflage face paint. The repellent was applied to the forearms of
5 volunteers who then were exposed to 15 active mosquitos for a 10-
hour period. The percentage of the forearm surface area protected
from bites (called percent repellency) was calculated for each of the
five volunteers. For one color of paint (loam), the following
summary statistics were obtained: x =83%, s = 14%. Complete parts
a and b.
3. A study of n = 110,000 first-time candidates for an exam found
that the number of semester hours of college credit taken by the
sampled candidate is summarized by x = 146.78 and s = 20.44. A
professor claims that the true mean number of semester hours of
college credit taken is 146.
4. Suppose 36 0f 104 randomly selected shoppers believe that
“Made in the USA” means that 100% of labor and materials are
from the United States. Let p represent the true proportion of

consumers who believe “Made in the USA” means 100% of labor
and materials are from the United States. Complete parts a through
e.
5. The final scores of games of a certain sport were compared
against the final point spreads establiished by oddmakers. The
difference between the game outcome and point spread (called a
point-spread error) was calculated for 240 games. The sample mean
and sample standard deviation of the point-spread errors are x = 1.7
and s = 14.6. Use this information to test the hypothesis that the true
mean point-spread error for all games is lareger than 0. Conduct
the test at α = 0.05 and interpret the result.
==============================================
MATH 533 Week 6 Course Project Part B Hypothesis
Testing and Confidence Intervals (SALESCALL Project)
(New)
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Your Instructor will provide you with four manager speculations, a.-
d., in the Doc Sharing file.
Using the sample data, perform the hypothesis test for each of the
above situations in order to see if there is evidence to support your
manager’s belief in each case a.-d. In each case use the Seven
Elements of a Test of Hypothesis, in Section 6.2 of your text book,
using the α provided by your Instructor in the Doc Sharing
materials, and explain your conclusion in simple terms. Also be
sure to compute the p-value and interpret.

Follow this up with computing confidence intervals (the required
confidence level will be provided by your Instructor) for each of the
variables described in a.-d., and again interpreting these intervals.
Write a report to your manager about the results, distilling down the
results in a way that would be understandable to someone who does
not know statistics. Clear explanations and interpretations are
critical.
All DeVry University policies are in effect, including the plagiarism
policy.
Project Part B report is due by the end of Week 6.
Project Part B is worth 100 total points. See grading rubric below.
Submission: The report from part 3 + all of the relevant work done
in the hypothesis testing (including Minitab) in 1., and the
confidence intervals (Minitab) in 2. as an appendix.
==============================================
MATH 533 Week 6 DQ 1 Case: Statistics in Action: Legal
Advertising—Does It Pay? (New)
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Read the Case: Statistics In Action: Legal Advertising—Does It
Pay?, and answer the following questions. (The case is included in
your textbook, Chapter 10.) The data set for the case study is
LEGALADV, and it is available in your textbook resources, so you
don't have to enter the data!

Summarize what the case is about, and what the variables represent.
==============================================
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1. A MINITAB printout relating the size of the diamond (number
of carats) to the asking price (dollars) for 308 diamonds is shown
below. Complete parts a through e.
2. The average driving distance (yards) and driving accuracy
(percent of drives that land in the fairway) for 8 golfers are recorded
in the table to the right. Complete parts a through e below.
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. A magazine reported the average charge and the averege
length of hospital stay for patients in a sample of 7 regions. The
printout is shown below. Complete parts a through e.
5. Adult male rhesus monkeys were exposed to a visual stimulus (
panel of light-emitting diodes), and their eye, head, and body
movements were electronically recorded. In on variation of the
experiment, two variables were measured, active head movement (x,
percent per degree) and body-plus-rotation (y,percent per degree).
The data for n = 37 trails were subjected to a simple linear
regression analysis, with = 0.23. Complete parts a through c.

6. If you pay more in tuition to go to a top business school, will it
necessarily result in a higher probability of a job offer at
graduation? Let y = percentage of graduates with job offers and x =
tuition cost; then fit the simple linear model, E(y) = + x, to the data
below. Is there sufficient evidence (at α = 0.10) of a positive linear
relationship between y and x?
7. Banks in a state have been charged with withdrawing from
urban areas with a high percentage of minorities. To examine this
charge, a study compiled county by county data on the number (y)
of people in each county per branch bank in the county and the
percentage (x) of the population in each county that is minority.
8. The rank of the top 10 billionaires, their net worth (y), and
their ages (x) are given in the table to the right. Complete parts a
through d below.
9. A group of researchers developed a new method for ranking
the total driving performance of golfers on a tour. The method
requires knowing a golfer’s averaging driving distance (yards) and
driving accuracy (percent of drives that land in the fairway). They
construct a straight-line model relating driving accuracy(y) to
driving distance(x). A MINITAB printout with prediction and
confidence intervals for a driving distance of x = 300 is shown
below.
10. The accompanying data in the table below were derived from
life tests for two different brands of cutting tools. Complete parts a
through c.
==============================================

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1. An association was formed by students to protest labor
exploitation in the apparel industry. There were 18 student “sit-ins”
for a “sweet-free campus” organized at several universities. Data
were collected for the duration (in days) of each sit-in, as well as the
number of student arrests. The data for 5 sit-ins in which there was
at least one arrest and the results of a simple linear regression are
found below. Let y be the number of arrests and x be the duration.
Complete parts a through d.
2. A group of researchers developed a new method for ranking
the total driving performance of golfers on a tour. The main
average driving distance (yards) and driving accuracy (percent of
drives that land in the fairway). They construct a standard accuracy
(y) to driving distance (x). A MINITAB printout with prediction and
confidence intervals for a driving distance.
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. The quality of the orange juice produced by a manufacturer is
constantly monitored. There are numerous sensory and chemical
components that combine to make the best-tasting orange juice. For
example, one manufacturer has developed a quantitative index of
the “sweetness” of orange juice. Suppose a manufacturer wants to
use simple linear regression to predict the sweetness (y) from the
amount of pectin(x). Find a 90% confidence interval for the true
slope of the line. Interpret the result.
5. A study of the effect of massage on boxing performance
measured a boxer’s lactate concentration (in mM) and perceived

recovery (on a 28-point scale). On the basis of the information
provided by the study, the data shown in the accompanying table
were obtained for 16 five-round boxing performances in which a
massage was given to the boxer between rounds. Conduct a test to
determine whether blood lactate level(y) is linearly related to the
perceived recovery (x). Use α = 0.10.
6. A MINITAB printout relating the size of the diamond (number
of carats) to the asking price (dollars) is shown below. Complete
parts a through e.
==============================================
MATH 533 Week 7 Course Project Part C: Regression
and Correlation Analysis (SALESCALL Project) (New)
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Your Instructor will specify for you the dependent variable and the
independent variables in your Case and data. Using MINITAB
perform the regression and correlation analysis for the data by
answering the following.
Generate a scatterplot for the specified dependent variable and the
specified independent variable, including the graph of the "best fit"
line. Interpret.
Determine the equation of the "best fit" line, which describes the
relationship between the dependent variable and the selected
independent variable.
Determine the coefficient of correlation. Interpret.

Determine the coefficient of determination. Interpret.
Test the utility of this regression model (use a two tail test with the α
provided by your Instructor). Interpret your results, including the p-
value.
Based on your findings in 1-5, what is your opinion about using the
designated independent variable to predict the designated dependent
variable? Explain.
Compute the confidence interval for beta-1 (the population slope),
using the confidence level specified by your Instructor. Interpret
this interval.
Using an interval, estimate the average for the dependent variable
for a selected value of the independent variable (to be provided by
your Instructor). Interpret this interval.
Using an interval, predict the particular value of the dependent
variable for a selected value of the independent variable (to be
provided by your Instructor). Interpret this interval.
What can we say about the value of the dependent variable for
values of the independent variable that are outside the range of the
sample values? Explain your answer.
In an attempt to improve the model, we will attempt to do a multiple
regression model predicting the dependent variable based on all of
the independent variables.
Using MINITAB run the multiple regression analysis using the
designated dependent and independent variables. State the equation
for this multiple regression model.
Perform the Global Test for Utility (F-Test). Explain your
conclusion.

Perform the t-test on each independent variable. Explain your
conclusions and clearly state how you should proceed. In particular,
which independent variables should we keep and which should be
discarded. If any independent variables are to be discarded, re-run
the multiple regression, including only the significant independent
variables, and include the final Minitab output, with interpretation.
Is this multiple regression model better than the linear model that
we generated in parts 1-10? Explain.
All DeVry University policies are in effect, including the plagiarism
policy.
Project Part C report is due by the end of Week 7.
Project Part C is worth 100 total points. See grading rubric below.
Summarize your results from 1-14 in a report that is three pages or
less in length and explains and interprets the results in ways that
are understandable to someone who does not know statistics.
Submission: The summary report + all of the work done in 1-14
(Minitab Output + interpretations) as an appendix.
==============================================
MATH 533 Week 7 DQ 1 Case: Statistics in Action: Bid-
Rigging in the Highway Construction Industry (New)
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Read the Case: Statistics in Action: Bid-Rigging in the Highway
Construction Industry, in Chapter 11 of your textbook, and answer

the following questions. The data set, FLAG, for the case study is
available in the publisher’s website, so you don’t need to enter the
data into Minitab by hand.
What is this case about? Describe the key variables.
==============================================
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1. Researchers developed a safety performance function (SPF),
which estimates the probability of occurrence of a crash for a given
segment of roadway. Using data on over 100 segments of roadway,
they fit the model E(y) = + + , where y = number of crashes per
three years, = roadway length (miles), and = average annual daily
traffic (number of vehicles) = AADT.
2. The data shown below represent the annual earnings (y), age
(--, and hours worked per day (x2) for a random sample of street
vendors in a certain. Complete parts a through f.
3. Data on the average annual precipitation (y), altitude (x1),
latitude (x2), and distance from the coast (x3) for a particular state
were collected for 10 meteorological stations. The observations are
listed in the table below. Consider the first-order model y = + + , +
ε. Complete parts a through c.
4. A manufacturer of boiler drums wants to use regression to
predict the number of hours needed to erect the drums in future
projects. To accomplish this task, data on 15 boilers were collected.

In addition to hours (y), the variables measured were boiler capacity
(x1 = 1b/hr), boiler design pressure (x2 = pounds per square inch,
or psi), boiler type (x3 = 1 if industry field erected, 0 if utility filed
erected), drum type (x4 = 1 if steam, 0 if mud). Complete parts a
through d.
5. A magazine reported on a study of the reliability of a
commercial kit to test for arsenic in groundwater. The field kit was
used to test a sample of 20 ground water wells in a country. In
addition to the arsenic level (micrograms per liter), the latitude
(degrees), and depth (feet) of each well was measured. Complete
parts a through g.
6. A researcher wants to find a model that relates square footage
x1, number of bedrooms x2, number of baths x3, and asking price y
(in thousands of dollars) of a house. Complete parts (a) through (h).
==============================================
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1. Data on the average annual precipitation (y), altitude (x1),
latitude (x2), and distance from the coast (x3) for a particular state
were collected for 10 meteorological stations. The observations are
listed in the table below. Consider the first-order model y = + + , +
ε. Complete parts a through c.
2. Researchers developed a safety performance function (SPF),
which estimates the probability of occurrence of a crash for a given
segment of roadway. Using data on over 100 segments of roadway,

they fit the model E(y) = + + , where y = number of crashes per
three years, x1 = roadway length (miles), and x2 = average annual
daily traffic (number of vehicles) = AADT.
3. The data shown below represent the annual earnings (y), age
(x1), and hours worked per day (x2) for a random sample of street
vendors in a certain city. Complete parts a through f.
4. A manufacturer of boiler drums wants to use regression to
predict the number of hours needed to erect the drums in future
projects. To accomplish this task, data on 15 boilers were collected.
In addition to hours (y), the variables measured were boiler capacity
(x1 = 1b/hr), boiler design pressure (x2 = pounds per square inch,
or psi), boiler type (x3 = 1 if industry field erected, 0 if utility filed
erected), drum type (x4 = 1 if steam, 0 if mud). Complete parts a
through d.
==============================================

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