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QNT 351 Final Exam Guide (New)
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Q1
The Director of Golf for a local course wants to study the number of
rounds played by members on weekdays. He gathered the sample
information shown below for 520 rounds. At the .05 significance
level, is there a difference in the number of rounds played by day of
the week?
2An auditor for American Health Insurance reports that 20% of
policyholders submit a claim during the year. 15 policyholders are
selected randomly. What is the probability that at least 3 of them
submitted a claim the previous year?
3When a class interval is expressed as 100 up to 200,
_________________________.
4A coffee manufacturer is interested in whether the mean daily
consumption of regular-coffee drinkers is less than that of
decaffeinated-coffee drinkers. A random sample of 50 regular-coffee
drinkers showed a mean of 4.35 cups per day, with a standard
deviation of 1.2 cups per day. A sample of 40 decaffeinated coffee
drinkers showed a mean of 5.84 cups per day, with a standard
deviation of 1.36 cups per day. What is your computed z-statistic?

5 You perform a hypothesis test at the .05 level of significance. Your
computed p-value turns out to .042. What is your decision about the
hypothesis?
6 In a distribution, the second quartile corresponds with the
__________.
7 The MacBurger restaurant chain claims that the waiting time of
customers for service is normally distributed, with a mean of 3
minutes and a standard deviation of 1 minute. The quality-assurance
department found in a sample of 50 customers at the Warren Road
MacBurger that the mean waiting time was 2.75 minutes. When you
perform a test of hypothesis, what would be the resulting p-value?
8 The first card selected from a standard 52-card deck was a king. If it
is returned to the deck, what is the probability that a king will be
drawn on the second selection?
9 An example of a qualitative variable is _________________.
10 When statisticians analyze sample data in order to draw
conclusions about the characteristics of a population, this is referred
to as:
11 The ages of all the patients in the isolation ward of the hospital are
38, 26, 13, 41, and 22. What is the population standard deviation?
12 Consider the following regression analysis between sales (Y in
$1,000) and social media advertising (X in dollars).
13 The tread life of tires mounted on light-duty trucks follows the
normal probability distribution with a mean of 60,000 miles and a
standard deviation of 4,000 miles. Suppose you bought a set of four
tires, what is the likelihood the mean tire life of these four tires is
between 57,000 and 63,000 miles?

14 University officials say that at least 70% of the voting student
population supports a fee increase. If the 95% confidence interval
estimating the proportion of students supporting the fee increase is
[0.75, 0.85], what conclusion can be drawn?
15 A study by the National Park Service revealed that 50% of the
vacationers going to the Rocky Mountain region visit Yellowstone
Park, 40% visit the Grand Tetons, and 35% visit both. What is the
probability that a vacationer will visit at least one of these magnificent
attractions?
16 The distribution of a sample of the outside diameters of PVC pipes
approximates a symmetrical, bell-shaped distribution. The arithmetic
mean is 14.0 inches, and the standard deviation is 0.1 inches. About
68% of the outside diameters lie between what two amounts?
17 A group of women tried five brands of fingernail polish and
ranked them according to preference. What level of measurement is
this?
18 What is the range of values for a coefficient of correlation?
19 Which approach to probability assumes that the events are equally
likely?
20 What is the median of 26, 30, 24, 32, 32, 31, 27, and 29?
21 Sales at a fast-food restaurant average $6,000 per day. The
restaurant decided to introduce an advertising campaign to increase
daily sales. To determine the effectiveness of the advertising
campaign, a sample of 49 days of sales was taken. It found that the
average daily sales were $6,400 per day. From past history, the
restaurant knew that its population standard deviation is about $1,000.
The value of the test statistic is _______.

22 The mean of a normal distribution is 400 pounds. The standard
deviation is 10 pounds. What is the probability of a weight between
415 pounds and the mean of 400 pounds?
23 Which of the following is true regarding the normal distribution?
24 A time series trend equation for Hammer Hardware is Y’ = 5.6 +
1.2t, where sales are in millions of dollars and t increases by one unit
for each year. If the value of sales in the base year of 2016 is $5.6
million, what would be the estimated sales amount for 2018?
25 A research firm conducted a survey to determine the mean amount
steady smokers spend on cigarettes during a week. A sample of 64
smokers revealed that  = $20 and S = $5. What is the 95%
confidence interval for μ?
26 A weight-loss company wants to statistically prove that its
methods work. They randomly selected 10 clients who had been on
the weight loss program for between 55 and 65 days. They looked at
their beginning weights and their current weight. The statistical test
they should utilize is:
27 As the size of the sample increases, what happens to the shape of
the distribution of sample means?
28 Each month the National Association of Purchasing Managers
publishes the NAPM index. One of the questions asked on the survey
to purchasing agents is: Do you think that the economy is expanding?
Last month, of the 300 responses, 160 answered “yes” to the question.
This month, 170 of the 290 responses indicated that the economy is
expanding. If you’re testing to find if a larger proportion of agents
believe that the economy is expanding this month, what is your
computed test statistic?
29 A group of 100 students was surveyed about their interest in a new
International Studies program. Interest was measured in terms of high,
medium, or low. In the study, 30 students responded high interest, 40

students responded medium interest, and 30 students responded low
interest. What is the relative frequency of students with high interest?
30 A hypothesis regarding the weight of newborn infants at a
community hospital is that the mean is 6.6 pounds. A sample of seven
infants is randomly selected and their weights at birth are recorded as
9.0, 7.3, 6.0, 8.8, 6.8, 8.4, and 6.6 pounds. What is the alternate
hypothesis?
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QNT 351 Final Exam Guide (New, 2019) Score
30/30
QNT 351 Final Exam Guide (New, 2017) Score 30/3
The mean amount spent by a family of four on food is $500 per
month with a standard deviation of $75. Assuming that the food costs
are normally distributed, what is the probability that a family spends
less than $410 per month?
• 0.1151
• 0.0362
• 0.8750
• 0.2158
As the size of the sample increases, what happens to the shape of the
distribution of sample means?
• It cannot be predicted in advance.

• It is negatively skewed.
• It approaches a normal distribution.
• It is positively skewed.
What is the following table called?
• Frequency polygon
• Frequency distribution
• Histogram
• Cumulative frequency distribution
How is the t distribution similar to the standard z distribution?
• Both are continuous distributions.
• Both are skewed distributions.
• Both are families of distributions.
• Both are discrete distributions.
In a distribution, the second quartile corresponds with the
__________.
• Median
• Variance
• Mean
• Mode
A random sample of 85 supervisors revealed that they worked an
average of 6.5 years before being promoted. The population standard
deviation was 1.7 years. Using the 0.95 degree of confidence, what is
the confidence interval for the population mean?
• 6.99 and 7.99
• 6.14 and 6.86
• 4.15 and 7.15
• 6.49 and 7.49
Incomes of 50 loan applicants are obtained. Which level of
measurement is income?
• Ordinal

• Nominal
• Ratio
• Interval
Which of the following is an example of a continuous variable?
• Zip codes of shoppers.
• Number of students in a statistics class.
• Tons of concrete to complete a parking garage.
• Rankings of baseball teams in a league.
For the normal distribution, the mean plus and minus two standard
deviations will include about what percent of the observations?
• 99.7%
• 68%
• 50%
• 95%
The main purpose of descriptive statistics is to:
• Summarize data in a useful and informative manner.
• Determine if the data adequately represents the population.
• Make inferences about a population.
• Gather or collect data.
Which of the following is true regarding the normal distribution?
• The points of the curve meet the x-axis at z = -3 and z = 3.
• It is asymmetrical.
• It has two modes.
• The mean, median, and mode are all equal.
What is the relationship among the mean, median, and mode in a
symmetric distribution?
• The mean is always the smallest value.
• They are all equal.
• The mean is always the largest value.
• The mode is the largest value.

The probability distribution for the number of automobiles lined up at
a Lakeside Olds dealer at opening time (7:30 a.m.) for service is:
On a typical day how many automobiles should Lakeside Olds expect
to be lined up at opening time? Use expected value or mean of the
probability distribution.
• 2.85
• 1.00
• 10.00
• 1.96
Which of the following is a point estimate for the population mean
(µ)?
• X”
• x/n
• s
• σ
When all the items in a population have an equal chance of being
selected for a sample the process is called _________________.
• Simple random sampling
• Z-score
• Non-probability sampling
• Sampling error
A student was interested in the cigarette smoking habits of college
students and collected data from an unbiased random sample of
students. The data is summarized in the following table:

What type of chart best represents relative class frequencies?
• Pie chart
• Scatter plot
• Frequency polygon
• Box plot
A listing of all possible outcomes of an experiment and their
corresponding probabilities of occurrence is called a ____________.
• Probability distribution
• Random variable
• Subjective probability
The distribution of a sample of the outside diameters of PVC pipes
approximates a symmetrical bell-shaped distribution. The arithmetic
mean is 14.0 inches, and the standard deviation is 0.1 inches. About
68% of the outside diameters lie between what two amounts?
• 13.8 and 14.2 inches
For the past week a company’s common stock closed with the
following prices: $61.5, $62, $61.25, $60.875, and $61.5. What was
the price range?
• $1.750
• $1.875
• $1.250
• $1.125
Judging from recent experience 5% of the computer keyboards
produced by an automatic high-speed machine are defective. If six
keyboards are randomly selected, what is the probability that none of
the keyboards are defective? Use binomial distribution.
• 0.500

• 0.001
• 0.735
• 0.167
The National Center for Health Statistics reported that of every 883
deaths in recent years, 24 resulted from an automobile accident, 182
from cancer, and 333 from heart disease. What is the probability that
a particular death is due to an automobile accident?
• 539/883 or 0.610
• 182/883 or 0.206
• 24/333 or 0.072
• 24/883 or 0.027
The mean of a normal probability distribution is 500 and the standard
deviation is 10. About 95% of the observations lie between what two
values?
• 350 and 650
• 475 and 525
• 400 and 600
• 480 and 520
Which of the following is a characteristic of the normal probability
distribution?
• It’s bell-shaped.
• It’s asymmetrical.
• It’s rectangular.
• It’s positively skewed.
•
Refer to the following breakdown of responses to a survey of “Are
you concerned about being tracked while connected to the Internet?”
What is the class with the greatest frequency?
• Very concerned
• No concern
• None apply

• Somewhat concerned
The names of the positions in a corporation such as chief operating
officer or controller are examples of what type of variable?
• Interval
• Ratio
• Quantitative
• Qualitative
The members of each basketball team wear numbers on their jerseys.
What scale of measurement are these numbers considered?
• Interval
• Nominal
• Ratio
• Ordinal
A portion or part of a population is called a:
• Random survey
• Sample
• Tally
Mileage tests were conducted on a randomly selected sample of 100
newly developed automobile tires. The results showed that the mean
tread life was 50,000 miles, with a standard deviation of 3,500 miles.
What is the best estimate of the mean tread life in miles for the entire
population of these tires?
• 3,500
• 500
• 35
• 50,000

A large manufacturing firm tests job applicants. Test scores are
normally distributed with a mean of 500 and a standard deviation of
50. Management is considering placing a new hire in an upper-level
management position if the person scores in the upper sixth percent of
the distribution. What is the lowest score a new hire must earn to
qualify for a responsible position?
• 625
• 50
• 460
• 578
The following graph is a:
• Box plot
• Contingency table
• Dot plot
• Stem-and-leaf display
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QNT 351 Final Exam Guide
1) The main purpose of descriptive statistics is to
2) The general process of gathering, organizing, summarizing,
analyzing, and interpreting data is called

3) The performance of personal and business investments is measured
as a percentage, return on investment. What type of variable is return
on investment?
4) What type of variable is the number of robberies reported in your
city?
5) What level of measurement is the number of auto accidents
reported in a given month?
6) The names of the positions in a corporation, such as chief operating
officer or controller, are examples of what level of measurement?
7) Shoe sizes, such as 7B, 10D, and 12EEE, are examples of what
level of measurement?
8) Monthly commissions of first-year insurance brokers are $1,270,
$1,310, $1,680, $1,380, $1,410, $1,570, $1,180, and $1,420. These
figures are referred to as
9) A small sample of computer operators shows monthly incomes of
$1,950, $1,775, $2,060, $1,840, $1,795, $1,890, $1,925, and $1,810.
What are these ungrouped numbers called?
10) The sum of the deviations of each data value from this measure of
central location will always be 0
11) For any data set, which measures of central location have only
one value?

12) A sample of single persons receiving social security payments
revealed these monthly benefits: $826, $699, $1,087, $880, $839, and
$965. How many observations are below the median?
13) A dot plot shows
14) The test scores for a class of 147 students are computed. What is
the location of the test score associated with the third quartile?
15) The National Center for Health Statistics reported that of every
883 deaths in recent years, 24 resulted from an automobile accident,
182 from cancer, and 333 from heart disease. Using the relative
frequency approach, what is the probability that a particular death is
due to an automobile accident?
16) If two events A and B are mutually exclusive, what does the
special rule of addition state?
17) A listing of all possible outcomes of an experiment and their
corresponding probability of occurrence is called a
18) The shape of any uniform probability distribution is
19) The mean of any uniform probability distribution is
20) For the normal distribution, the mean plus and minus 1.96
standard deviations will include about what percent of the
observations?
21) For a standard normal distribution, what is the probability that z is
greater than 1.75?
22) A null hypothesis makes a claim about a
23) What is the level of significance?

24) Suppose we test the difference between two proportions at the
0.05 level of significance. If the computed z is -1.07, what is our
decision?
25) Which of the following conditions must be met to conduct a test
for the difference in two sample means?
26) Which of the following statements about the two sample sizes is
NOT true? Assume the population standard deviations are equal.
27) What is the chart called when the paired data (the dependent and
independent variables) are plotted?
28) What is the variable used to predict the value of another called?
29) Twenty randomly selected statistics students were given 15
multiple-choice questions and 15 open-ended questions, all on the
same material. The professor was interested in determining on which
type of questions the students scored higher. This experiment is an
example of
30) The measurements of weight of 100 units of a product
manufactured by two parallel processes have same mean but the
standard of process A is 15 while that of B is 7. What can you
conclude?
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QNT 351 Week 1 Connect Problems

QNT 351 Week 1 Connect Problem
1. Which of the following is an example of a continuous variable?
2. The incomes of 50 loan applicants are obtained. Which level of
measurement is income?
3. The members of each basketball team wear numbers on their
jerseys. What scale of measurement are these numbers considered?
4. The reported unemployment is 5.5% of the population. What
measurement scale is used to measure unemployment?
5. The Nielsen Ratings break down the number of people watching a
particular television show by age. What level of measurement is age?
6. An example of a qualitative variable is _________________.
7. Two thousand two hundred frequent business travelers are asked
which midwestern city they prefer: Indianapolis, Saint Louis,
Chicago, or Milwaukee. 112 liked Indianapolis best, 452 liked Saint
Louis, 1295 liked Chicago, and the remainder preferred Milwaukee.
Develop a frequency table and a relative frequency table to
summarize this information.
8. The Cambridge Power and Light Company selected a random
sample of 20 residential customers. Following are the amounts, to the
nearest dollar, the customers were charged for electrical service last
month:
a. Compute the arithmetic mean.(Round your answer to 2 decimal
places.)
b. Indicate whether it is a statistic or a parameter.
9. Consider these five values a population: 6, 3, 7, 3, and 7.
a. Determine the mean of the population.
b. Determine the variance of the population.
10. An investor buys 100 shares of AT&T stock and records its price
change daily. Which concept of probability would you use to estimate
the probability of an individual event?
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QNT 351 Week 1 DQ 1

Week 1 DQ1
Where would you see descriptive statistics used in your work place?
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QNT 351 Week 1 DQ 2
Week 1 DQ2
How would you define dependent and independent variables? What is
their significance in research? Explain with examples.
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QNT 351 Week 1 DQ 3

Week 1 DQ3
Develop five demographic questions to measure gender, age, years of
experience, level of education, and ethnicity. Identify the level of
measurement used for each
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QNT 351 Week 1 DQ 4
Week 1 DQ4
How would you define a variable? What is the difference between a
dependent and independent variable? Do you think both variables are
used in every research? Explain why or why not. Provide examples.
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QNT 351 Week 1 DQ 5
Week 1 DQ5
What is the importance of statistics in business decision making?
Describe a business situation where statistics was used in making a
decision.

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QNT 351 Week 1 DQ 6
Week 1 DQ6
What are the four data measurement scales? Provide two examples
and explain the importance of each in business research.
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QNT 351 Week 1 Individual Assignment
Statistics in Business (2 Sets)
This tutorial contains 2 different Sets of papers
Define statistics.
Identify different types of statistics.
Describe the role of statistics in business decision making.
Write a 300-word summary providing at least three examples or
problem situations in which statistics was used or could be used.
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QNT 351 Week 1 Introduction to Statistical
Thinking Worksheet
Complete the Introduction to Statistical Thinking Worksheet.
Format your assignment consistent with APA guidelines.
Click the Assignment Files tab to submit your assignment.
1. There are 23 people at a party. Explain what the probability is
that any two of them share the same birthday.
2. A cold and flu study is looking at how two different medications
work on sore throats and fever. Results are as follows:
· Sore throat - Medication A: Success rate - 90% (101 out of 112
trials were successful)
· Sore throat - Medication B: Success rate - 83% (252 out of
305 trials were successful)
· Fever - Medication A: Success rate - 71% (205 out of 288
trials were successful)
· Fever - Medication B: Success rate - 68% (65 out of 95 trials
were successful)
Analyze the data and explain which one would be the better
medication for both a sore throat and a fever.
3. The United States employed a statistician to examine damaged
planes returning from bombing missions over Germany in World War
II. He found that the number of returned planes that had damage to
the fuselage was far greater than those that had damage to the
engines. His recommendation was to enhance the reinforcement of
the engines rather than the fuselages. If damage to the fuselage was
far more common, explain why he made this recommendation.
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1. The director of admissions at Kinzua University in Nova Scotia
estimated the distribution of student admissions for the fall semester
on the basis of past experience.
a. What is the expected number of admissions for the fall semester?
b. Compute the variance and the standard deviation of the number of
admissions.
2. The Internal Revenue Service is studying the category of charitable
contributions. A sample of 28 returns is selected from young couples
between the ages of 20 and 35 who had an adjusted gross income of
more than $100,000. Of these 28 returns, 5 had charitable
contributions of more than $1,000. Suppose 4 of these returns are
selected for a comprehensive audit.
a. You should use the hyper geometric distribution is appropriate.
Because
b. What is the probability exactly one of the four audited had a
charitable deduction of more than $1,000?
c. What is the probability at least one of the audited returns had a
charitable contribution of more than $1,000?
3. According to the "January theory," if the stock market is up for the
month of January, it will be up for the year. If it is down in January, it
will be down for the year. According to an article in The Wall Street
Journal, this theory held for 28 out of the last 34 years. Suppose there
is no truth to this theory; that is, the probability it is either up or down
is 0.5.

What is the probability this could occur by chance?
4. Customers experiencing technical difficulty with their internet
cable hookup may call an 800 number for technical support. It takes
the technician between 150 seconds and 14 minutes to resolve the
problem. The distribution of this support time follows the uniform
distribution.
a. What are the values for a and b in minutes?
b-1. What is the mean time to resolve the problem?
b-2. What is the standard deviation of the time?
c. What percent of the problems take more than 5 minutes to resolve?
d. Suppose we wish to find the middle 50% of the problem-solving
times. What are the end points of these two times?
5. A normal population has a mean of 21 and a standard deviation of
6.
a. Compute the z value associated with 24.
b. What proportion of the population is between 21 and 24?
c. What proportion of the population is less than 17?
6. Assume that the hourly cost to operate a commercial airplane
follows the normal distribution with a mean of $2,100 per hour and a
standard deviation of $250.
What is the operating cost for the lowest 3% of the airplanes?
7. The manufacturer of a laser printer reports the mean number of
pages a cartridge will print before it needs replacing is 12,400. The
distribution of pages printed per cartridge closely follows the normal
probability distribution and the standard deviation is 620 pages. The
manufacturer wants to provide guidelines to potential customers as to
how long they can expect a cartridge to last.
How many pages should the manufacturer advertise for each cartridge
if it wants to be correct 95 percent of the time?
8. A study of long-distance phone calls made from General Electric
Corporate Headquarters in Fairfield, Connecticut, revealed the length
of the calls, in minutes, follows the normal probability distribution.
The mean length of time per call was 5.20 minutes and the standard
deviation was 0.70 minutes.
a. What fraction of the calls last between 5.20 and 6.00 minutes?
b. What fraction of the calls last more than 6.00 minutes?
c. What fraction of the calls last between 6.00 and 7.00 minutes?

d. What fraction of the calls last between 5.00 and 7.00 minutes?
e. As part of her report to the president, the director of
communications would like to report the length of the longest (in
duration) 4 percent of the calls. What is this time?
9. A population consists of the following five values: 13, 15, 17, 19,
and 22.
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.
10. The mean age at which men in the United States marry for the
first time follows the normal distribution with a mean of 24.4 years.
The standard deviation of the distribution is 2.6 years.
For a random sample of 57 men, what is the likelihood that the age at
which they were married for the first time is less than 24.9 years?
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QNT 351 Week 2 DQ 1
Week 2 DQ1
Can mean, median, or mode be calculated from all statistical data?
Explain why or why not. When is the mean the best measure of
central tendency? When is the median the best measure of central
tendency?
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QNT 351 Week 2 DQ 2

Week 2 DQ2
Describe a business situation, other than what has already been
selected by fellow students or selected from the team assignment,
where mean and standard deviation can be used in decision making.
Describe how calculation of mean and standard deviation can help in
making a decision.
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QNT 351 Week 2 DQ 3
Week 2 DQ3
What level of data is a telephone number? Explain.
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QNT 351 Week 2 DQ 4

Week 2 DQ4
Does all data have a mean, median, or mode? Why or why not? When
is the mean the best measure of central tendency? When is the median
the best measure of central tendency?
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QNT 351 Week 2 DQ 5
Week 2 DQ5
Why is the population shape a concern when estimating a mean?
What effect does sample size, n, have on the estimate of the mean?
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QNT 351 Week 2 Excel Problem Graphical
Technique

Question 1
Plot a 100% stacked column chart for television sales by year.
U.S. Television Sales, 2002 - 2005 ($ thousands)
Projection TV LCD TV Plasma TV
2002 3,574 246 515
2003 4,351 664 1,590
2004 6,271 1,579 2,347
2005 5,320 3,295 4,012
Question 2
In a 2013 survey of employees conducted by Financial Finesse Inc.,
employees were asked about their overall financial stress levels. The
following table shows the results of this survey
(www.financialfinesse.com)
Question 3
Given below are the ratings of the overall dining experience
(Outstanding, Very Good, Good, Average, or Poor)
of 30 randomly selected patrons at a restaurant on a Saturday evening.
a) Using the Pivot table in Excel, construct a frequency distribution.
Frequency Distribution is a table with two columns - Ratings and
Frequency.
b) Plot a bar chart using Pivot Chart.
c) Plot a pie chart using Pivot Chart.
Question 4
Given below is the revenue data for an organization.

Plot Revenue on a line chart.
Month Revenue
Jan $4,510
Feb $10,430
Mar $8,950
Apr $12,300
May $5,300
Jun $12,430
Jul $11,900
Aug $12,230
Sep $10,480
Oct $10,500
Nov $12,870
Dec $11,400
Question 5
Refer to the chart below and answer the questions
a. What is the name given to this type of chart?
b. b. Suppose that 1,000 graduates will start a new job shortly after
graduation. Estimate the number of graduates, whose first contact for
employment occurred through networking and other connections
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QNT 351 Week 2 Learning Team Assignment
Data Collection (2 Sets)

Discuss with your team whether you have data from RES/351, and if
your team would like to use one team member’s data for the Learning
Team assignments in this course.
If using data from RES/351:
Resources: Data collected from RES/351
Prepare a 700- to 1,050-word written report along with a 5- to 7-slide
Microsoft®
PowerPoint®
presentation for the senior management team
or stakeholders of your RES/351 research project to present your
findings.
Address the following:
• Present the chosen situation as an overview—problem, purpose,
research questions, and hypotheses.
• Describe and the instrument used for data collection.
• Identify types of data—quantitative, quantitative, or both—and
how the data is collected.
• Identify the level of measurement for each of the variables
involved in the study.
• Code the data if you have not done so. Describe how the data is
coded and evaluate the procedure used.
• Clean the data by eliminating the data input errors made.
• Draw conclusions about appropriateness of data to meet the
purpose of the study.
If you decide not to use your own data, you can use the Ballard
Integrated Managed Services, Inc., case study overview:
Resources: University of Phoenix Material: Ballard Integrated
Managed Services, Inc., Part 1

Review the Ballard Integrated Managed Services, Inc. (BIMS) case
study overview.
Prepare a 700- to 1,050-word written report along with a 5- to 7-slide
Microsoft®
PowerPoint®
presentation for the senior management team
to present your findings (see Exhibit D for the data set of the second
survey).
Address the following:
• Present the BIMS situation as an overview—problem, purpose,
research questions, and hypotheses.
• Describe the instrument used for data collection.
• Identify types of data collected—quantitative, qualitative, or
both—and how the data is collected.
• Identify the level of measurement for each of the variables
involved in the study.
• Code the data if you have not done so. Describe how the data is
coded and evaluate the procedure used.
• Clean the data by eliminating the data input errors made.
• Draw conclusions about appropriateness of data to meet the
purpose of the study.
Note. As consultants to BIMS, your Learning Team is expected to
prepare and deliver a professional product addressing the client's
needs.
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QNT 351 Week 2 Probability Worksheet

Complete the Probability Worksheet.
Format your paper consistent with APA guidelines.
Maximum and Minimum Temperatures
Search the Internet for U.S. climate data.
Choose the city in which you live.
Click on the tab that reads “Daily.”
1. Prepare a spreadsheet with three columns: Date, High
Temperature, and Low Temperature. List the past 60 days for
which data is available.
2. Prepare a histogram for the data on high temperatures and
comment on the shape of the distribution as observed from these
graphs.
3. Calculate  and S.
4. What percentage of the high temperatures are within the
interval  – S to  + S?
5. What percentage of the high temperatures are within the
interval  – 2S to  + 2S?
6. How do these percentages compare to the corresponding
percentages for a normal distribution (68.26% and 95.44%,
respectively)?
7. Repeat Parts 2 to 6 for the minimum temperatures on your
spreadsheet.
8. Would you conclude that the two distributions are normally
distributed? Why or why not?
9. ***************************************************************************
*
QNT 351 Week 2 Team Assignment
Descriptive Statistics Real Estate Data Part 1
(New)

Search the Internet for a realty site.
Select a hometown of someone on your team in the search section on
the website you have chosen. When all of the listings populate, make
sure that the sort criteria reads "New Listings." This ensures that you
are searching a random cross-section of listings rather than favoring
one price range.
Review the new listings that populate.
Create an Excel®
spreadsheet with 4 columns of the first 100 single
family homes listed, not including condominiums or townhouses.
Include each of the following categories in the spreadsheet: Property
address, listing price, square footage, and number of bedrooms.
Prepare a frequency distribution for listing prices, including relative
frequencies.
Create your frequency distribution as identified in Chapters 2, 3, and
4.
Generate a histogram from your frequency distribution, again making
sure you are consistent with the rules discussed in Chapter 2.
Summarize your findings from your frequency distribution and your
histogram.
Create either a pie chart or a bar graph of the number of bedrooms in
your 100 homes.
Evaluate your visual aid.
Calculate measures of central tendency for both listing prices and
square footages. Those measures are mean, median, and mode.
Determine the quartiles for both listing prices and square footages.
Calculate measures of dispersion for both listing prices and square
footages. Those measures are range, variance, and standard deviation.
Apply Chebyshev's Theorem and the Empirical Rule to both sets of
data.
Compare your findings with your actual data.

Conclude whether Chebyshev's or Empirical Rule is more accurate
with each of listing prices and square footages.
****************************************************************************
Award: 10 out of 10.00 points
A sample of 43 observations is selected from a normal population.
The sample mean is 30, and the population standard deviation is 3.
Conduct the following test of hypothesis using the 0.05 significance
level.
a. Is this a one- or two-tailed test?
b. What is the decision rule? (Round your answer to 3 decimal
places.)
c. What is the value of the test statistic? (Round your answer to 2
decimal places.)
d. What is your decision regarding H0?
e. What is the p-value? (Round your answer to 4 decimal places.)
2.At the time she was hired as a server at the Grumney Family
Restaurant, Beth Brigden was told, “You can average $86 a day in
tips.” Assume the population of daily tips is normally distributed with
a standard deviation of $3.81. Over the first 48 days she was

employed at the restaurant, the mean daily amount of her tips was
$87.07. At the 0.02 significance level, can Ms. Brigden conclude that
her daily tips average more than $86?
a. State the null hypothesis and the alternate hypothesis.
b. State the decision rule.
c. Compute the value of the test statistic. (Round your answer to
2 decimal places.)
3.The Rocky Mountain district sales manager of Rath Publishing Inc.,
a college textbook publishing company, claims that the sales
representatives make an average of 43 sales calls per week on
professors. Several reps say that this estimate is too low. To
investigate, a random sample of 41 sales representatives reveals that
the mean number of calls made last week was 44. The standard
deviation of the sample is 2.9 calls. Using the 0.100 significance
level, can we conclude that the mean number of calls per salesperson
per week is more than 43?
1. Compute the value of the test statistic. (Round your answer to
3 decimal places.)
2. What is your decision regarding H0?
4.
Award: 10 out of 10.00 points
A United Nations report shows the mean family income for Mexican
migrants to the United States is $27,150 per year. A FLOC (Farm
Labor Organizing Committee) evaluation of 30 Mexican family units

reveals a mean to be $29,500 with a sample standard deviation of
$11,150. Does this information disagree with the United Nations
report? Apply the 0.01 significance level.
a. State the null hypothesis and the alternate hypothesis.
b. State the decision rule for .01 significance level. (Negative
amounts should be indicated by a minus sign. Round your answers to
3 decimal places.)
c. Compute the value of the test statistic. (Round your answer to
2 decimal places.)
d. Does this information disagree with the United Nations
report? Apply the 0.01 significance level.
5.The following information is available.
H0 : μ ≥ 220
H1 : μ < 220
A sample of 64 observations is selected from a normal population.
The sample mean is 215, and the population standard deviation is 15.
Conduct the following test of hypothesis using the .025 significance
level.
a. Is this a one- or two-tailed test?
b. What is the decision rule? (Negative amount should be
indicated by a minus sign. Round your answer to 2 decimal places.)

c. What is the value of the test statistic? (Negative amount
should be indicated by a minus sign. Round your answer to 3 decimal
places.)
6.Given the following hypotheses:
H0 : μ ≤ 10
H1 : μ > 10
A random sample of 10 observations is selected from a normal
population. The sample mean was 12 and the sample standard
deviation 3. Using the .05 significance level:
a. State the decision rule. (Round your answer to 3 decimal
places.)
b. Compute the value of the test statistic. (Round your answer to
3 decimal places.)
c. What is your decision regarding the null hypothesis?
7.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 standard
deviation 6. Using the .01 significance level:
a. State the decision rule. (Negative amount should be indicated
by a minus sign. Round your answers to 3 decimal places.)

b. Compute the value of the test statistic. (Round your answer to
3 decimal places.)
c. What is your decision regarding the null hypothesis?
****************************************************************************
QNT 351 Week 3 DQ 1
Week 3 DQ1
What are the differences between probability and coincidence? Can
the probability be more than 1 or less than 0? Explain why or why
not.
****************************************************************************
QNT 351 Week 3 DQ 2
Week 3 DQ2
What is the role of probability concepts in business decision-making?
Provide specific examples.

****************************************************************************
QNT 351 Week 3 DQ 3
Week 3 DQ3
What are the basic differences between a discrete and a continuous
distribution?
****************************************************************************
QNT 351 Week 3 DQ 4
Week 3 DQ4
What are the characteristics of standard normal distribution? Explain
how to calculate the z-test static. Explain how a z-value is used to
calculate the area under the distribution and the meaning of P(0 to z)
when z = 1.96.
****************************************************************************

QNT 351 Week 3 Excel Problems Measuring
Salespeople Performance
Week A B C D
1 1774 2205 1330 1402
2 1808 1507 1295 1665
3 1890 2352 1502 1530
4 1932 1939 1104 1826
5 1855 2052 1189 1703
6 1726 1630 1441 1498
Interpretation of Minimum and Maximum
Interpretation of Mean and Median
Interpretation of Standard Deviation and Variance
Interpretation of the First and Third Quartiles
****************************************************************************
QNT 351 Week 3 Individual Assignment Real
Estate Data

Resources: Appendix A1 at the end of Basic Statistics for Business
and Economics
Answer question 68 in the Data Set Exercises from Ch. 3 of Basic
Statistics for Business and Economics.
****************************************************************************
QNT 351 Week 3 Team Assignment Sampling
Distributions Real Estate Part 2 (New)
Use the real estate data that you used for your learning team project
that was due in Week 2.
Complete the Sampling Distributions - Real Estate Part 2 worksheet.
1. Review the data and for the purpose of this project please
consider the 100 listing prices as a population.
· Explain what your computed population mean and population
standard deviation were.
2. Divide the 100 listing prices into 10 samples of n=10 each. Each
of your 10 samples will tend to be random if the first sample includes
houses 1 through 10 on your spreadsheet, the second sample consists
of houses 11 through 20, and so on.
· Compute the mean of each of the 10 samples and list them:
3. Compute the mean of those 10 means.

· Explain how the mean of the means is equal, or not, to the
population mean of the 100 listing prices from above.
4. Compute the standard deviation of those 10 means and compare
the standard deviation of the 10 means to the population standard
deviation of all 100 listing prices.
· Explain why it is significantly higher, or lower, than the
population standard deviation.
5. Explain how much more or less the standard deviation of sample
means was than the population standard deviation. According to the
formula for standard deviation of sample means, it should be far less.
(That formula is σ = σ/√n = σ/√10 = σ/3.16 ) Does your computed
σ agree with the formula?
****************************************************************************
QNT 351 Week 3 Team Assignment
Summarizing and Presenting Data (2 Sets)
If using RES/351 data:
Revise the report submitted in Week Two based on the feedback
provided by the instructor in the team assignment, and insight gained
by reading.
Summarize the data collected using descriptive statistics. Descriptive
statistics should be in the forms of frequency distribution table,

measures of mean, median, mode, standard deviation, and graphical
display of data.
Summarize the statistics in relation to the problem selected and
research questions and draw conclusions.
Prepare a 1,050- to 1,750-word report of conclusions drawn from the
data and make recommendations to the management.
Support recommendations by citing literature consistent with APA
guidelines.
If using the Ballard Integrated Managed Services, Inc., (BIMS) case
study overview:
Revise the report submitted in Week Two based on the feedback
provided by the instructor in the team assignment, and insight gained
by reading.
Analyze the data included in BIMS case study Part 1 by computing
descriptive statistics in the form of tables, charts, measures of central
tendency, and variability.
Prepare a 1,050- to 1,750-word report of conclusions drawn from the
data and make recommendations to the management.
Support recommendations by citing literature consistent with APA
guidelines.
****************************************************************************

1) The Production department of Celitronics International wants to
explore the relationship between the number of employees who
assemble a subassembly and the number produced. As an experiment,
2 employees were assigned to assemble the subassemblies. They
produced 13 during a one-hour period, then 4 employees assembled
them. They produced 22 during a one hour period. The complete set
of paired observation follows
a) The dependent variable is production; that is, it is assumed that
different levels of production result from a different number of
employees.
b) A scatter diagram is provided below. Based on it, does there
appear to be any relationship between the number of assemblers and
production?
c) Compute the correlation coefficient.
2) The following sample observation were randomly selected.
X : 4 5 3 6 10
Y : 9.8 10.6 8 15.4 19.6
a) The regression equation is Y^ =?
b) When X is 5.5 this gives Y^=?
3) Bi-io Appliance Super-store has outlets in several large
metropolitian areas in New England. The general sales manager aired
a commercial for a digital camera on selected local TV stations prior
tp a sale starting on Saturday and editing Sunday. She obtained the
information for Saturday-Sunday digital camera sales at the various
outlets and paired it with number to times the advertisement was
shown on the local TV stations. The Purpose is to find whether there
is any relationship between the number of times the advertisement
was aired and digital camera sales. The pairings are:
a) What is the dependent variable?
b) Determine the correlation coefficient

c) Interpret these statistical measures.
4) 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 want to estimate selling price on the basis of the age car,
which variable is the dependent variable and which is the independent
variable?
b) Determine the correlation coefficient? Determine the
coefficient of determination?
c) Interpret the correlation coefficient. Does it surprise you that the
correlation coefficient is negative?
5) Pennsylvania refining Company is studying the relationship
between the pump price of gasoline and the number of gallons sold.
For a sample of 20 stations last Tuesday the correlation was 78. At
the 0.1 significance level, is the correlation in the population greater
than zero?
****************************************************************************
QNT 351 Week 4 DQ 1
Week 4 DQ1
What are some terms related to hypothesis testing with which you are
already familiar? Why do null and alternative hypotheses have to be
mutually exclusive?
****************************************************************************

QNT 351 Week 4 DQ 2
Week 4 DQ2
Why does the significance level differ among industries? Will the null
hypothesis be more likely to be rejected at α = 0.01 than α = 0.10? As
the significance level increases to α = 0.10 from α = 0.01, which type
error is more likely to occur? What can be done to reduce the
likelihood of incurring this error?
****************************************************************************
QNT 351 Week 4 DQ 3
Week 4 DQ3
Please explain the five steps used in hypothesis testing. How does the
five-step procedure for hypothesis testing differ when comparing two
groups using a t- or z-test? How is the process similar?
****************************************************************************
QNT 351 Week 4 DQ 4

Week 4 DQ4
Please explain terms related to hypothesis testing; please explain null
and alternate hypotheses, explain the difference between two different
test statistics, then define the equations used in both. Why do null
and alternative hypotheses have to be mutually exclusive?
****************************************************************************
QNT 351 Week 4 Excel Problems Measures of
Relative Standing and ProbabilityDistribution
Problem 1
Figure below gives the boxplots comparing the base yearly salaries of
employeesin marketing and employees in research for a large
company. Identify the five number summaries. for each profession.
Interpret them like we did in the class.
Problem 2
An insurance company determines that in every 100 claims, 4 are
fraudulent. What is the probability that the next claim the company
processes will be fraudulent?

Problem 3
A review of emergency room records at rural Millard
FellmoreMemorial Hospital was performed to determine the
probability distribution of the number of patients entering the
emergency room during a 1-hour period. The following table lists this
probability distribution.
Problem 4
Find the missing probability in the following probability distribution.
Problem 5
Determine whether the distribution given below are valid probability
distributions or not.
Problem 6
Determine whether the random variable x is discrete or continuous
a. Let x represent the number of pumps in use at a gas station
b. Let x represent the weight of a truck at a weigh station
****************************************************************************
Estate Data
and Economics

Answer question 60 (both parts a. and b.) in the Data Set Exercises
from Ch. 6 of Basic Statistics for Business and Economics.
Answer question 54 (both parts a. and b.) in the Data Set Exercises
from Ch. 7 of Basic Statistics for Business and Economics.
****************************************************************************
QNT 351 Week 4 Learning Team Reflection (2
Sets)
QNT 351 Week 4 Learning Team Reflection
This tutorial contains 2 different sets
Discuss the following with your Learning Team:
• The steps in testing a research hypothesis
• Comparing the means of two or more groups
• Calculating the correlation between two variables
Include the topics you feel comfortable with, any topics you struggled
with, and how the weekly topics relate to application in your field.
Prepare a 350- to 1,050-word paper detailing the findings of your
discussion.
****************************************************************************
QNT 351 Week 4 Two Population Means
Worksheet

A tomato farmer with a very large farm of approximately 2200 acres
had heard about a new type of rather expensive fertilizer which would
supposedly significantly increase his production. The frugal farmer
wanted to test the new fertilizer before committing the large
investment required to fertilize a farm of his size. He therefore
selected 15 parcels of land on his property and divided them each into
two portions. He bought just enough of the new fertilizer to spread
over one half of each parcel and then spread the old fertilizer over the
other half of each parcel. His yields in pounds per tomato plant were
as follows:
What if you were the fertilizer sales representative and your job was
to prove the superiority of the new product to the farmer?
(1) You should start by running the same test he did in which he
came to the decision that he could not conclude a difference.
(2) Perform the test as it should have been done and find if you
come to a different conclusion.
(3) Explain why the results were different and why your test was
a stronger and more reliable test.
****************************************************************************
Estate Data

and Economics
****************************************************************************
QNT 351 Week 5 Learning Team Assignment
Analyzing and Interpreting Data Paper and
Presentation
If using RES/351 data:
Ask your instructor for specific information regarding the analysis
you are required to perform for your data set.
Combine your Week Two Learning Team assignment and Week
Three findings with Week Five findings and make a recommendation
to the research problem.
Use the statistical tables given in the appendices of the textbook and a
statistical analysis application: a Microsoft® Excel® spreadsheet,
Minitab® statistical software, or SPSS™ software.

Prepare a 1,050- to 1,750-word written report along with a 7- to 9-
slide Microsoft®
PowerPoint®
presentation for the senior management
team to present your findings.
If using the Ballard Integrated Managed Services, Inc. (BIMS) case
study overview:
Read the University of Phoenix Material: Ballard Integrated Managed
Services, Inc., Part 2. Your team acts as a consultant group that
analyzes and interprets this second set of data. The intent is to
increase senior management’s understanding of the sources of
employee dissatisfaction and to create a model that predicts employee
resignation.
Combine your Week Two Learning Team assignment and Week
Three findings with Week Five findings and make a recommendation
to BIMS.
Use the statistical tables given in the appendices of the textbook and a
statistical analysis application: a Microsoft® Excel® spreadsheet,
Minitab® statistical software, or SPSS™ software.
Prepare a 1,050- to 1,750-word written report along with a 7- to 9-
slide Microsoft®
PowerPoint®
presentation for the senior management
team to present your findings (see Exhibit D for the data set of the
second survey).
Note. As consultants to BIMS, your Learning Team is expected to
prepare and deliver a professional product addressing the client’s
needs.
****************************************************************************
QNT 351 Week 5 Team Assignment Real
Estate Regression Exercise (New)

Complete the Real Estate Regression Exercise.
Format your paper consistent with APA guidelines.
You are consulting for a large real estate firm. You have been
asked to construct a model that can predict listing prices based on
square footages for homes in the city you’ve been researching.
You have data on square footages and listing prices for 100
homes.
1. Which variable is the independent variable (x) and which is the
dependent variable (y)?
2. Click on any cell. Click on Insert→Scatter→Scatter with
markers (upper left).
To add a trendline, click Tools→Layout→Trendline→Linear
Trendline
Does the scatterplot indicate observable correlation? If so, does it
seem to be strong or weak?
In what direction?
3. Click on Data→Data Analysis→Regression→OK. Highlight
your data (including your two headings) and input the correct
columns into Input Y Range and Input X Range, respectively. Make
sure to check the box entitled “Labels”.
(a) What is the Coefficient of Correlation between square footage
and listing price?
(b) Does your Coefficient of Correlation seem consistent with your
answer to #2 above? Why or why not?
(c) What proportion of the variation in listing price is determined by
variation in the square footage? What proportion of the variation in
listing price is due to other factors?
(d) Check the coefficients in your summary output. What is the
regression equation relating square footage to listing price?

(e) Test the significance of the slope. What is your t-value for the
slope? Do you conclude that there is no significant relationship
between the two variables or do you conclude that there is a
significant relationship between the variables?
(f) Using the regression equation that you designated in #3(d)
above, what is the predicted sales price for a house of 2100 square
feet?
****************************************************************************

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