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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?
2 An 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?
3 When a class interval is expressed as 100 up to 200,
_________________________.
4 A 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?
31. 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, 2017) Score 30/30
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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 • Frequency distribution • 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 • 13.5 and 14.5 inches • 13.9 and 14.1 inches •
13.0 and 15.0 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 • Frequency
distribution • 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
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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
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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
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Week 1 DQ1
Where would you see descriptive statistics used in your work place?
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QNT 351 Week 1 DQ 2
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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
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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
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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
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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
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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)
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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
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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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QNT 351 Week 2 Connect Problem
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
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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

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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
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Week 2 DQ3
What level of data is a telephone number? Explain.
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QNT 351 Week 2 DQ 4

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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
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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
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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 20023,574 246 515 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)

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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
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Complete the Probability Worksheet. Format your paper consistent
with APA guidelines. Click the Assignment Files tab to submit your
assignment. 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?
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QNT 351 Week 2 Team Assignment Descriptive Statistics Real
Estate Data Part 1 (New)
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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. Format your assignment consistent
with APA guidelines. Click the Assignment Files tab to submit your
assignment.
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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?
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QNT 351 Week 3 DQ 1
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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.
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QNT 351 Week 3 DQ 2
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Week 3 DQ2
What is the role of probability concepts in business decision-making?
Provide specific examples.
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QNT 351 Week 3 DQ 3
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Week 3 DQ3
What are the basic differences between a discrete and a continuous
distribution?
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QNT 351 Week 3 DQ 4
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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.
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QNT 351 Week 3 Excel Problems Measuring Salespeople
Performance
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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

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QNT 351 Week 3 Individual Assignment Real Estate Data
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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)
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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. Format your assignment consistent with APA
guidelines. Click the Assignment Files tab to submit your assignment. 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?
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QNT 351 Week 3 Team Assignment Summarizing and
Presenting Data (2 Sets)

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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.
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QNT 351 Week 4 Connect Problem 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?
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QNT 351 Week 4 DQ 1
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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?
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QNT 351 Week 4 DQ 2
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Week 4 DQ2
Why does the significance level differ among industries? Will the null
hypothesis be more likely to be rejected at 伪 = 0.01 than 伪 = 0.10? As
the significance level increases to 伪 = 0.10 from 伪 = 0.01, which type
error is more likely to occur? What can be done to reduce the likelihood
of incurring this error?
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QNT 351 Week 4 DQ 3
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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

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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
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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

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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.
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QNT 351 Week 4 Learning Team Reflection (2 Sets)
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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.
Click the Assignment Files tab to submit your assignment.
==============================================
QNT 351 Week 4 Two Population Means Worksheet
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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.
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Economics
==============================================

QNT 351 Week 5 Learning Team Assignment Analyzing and
Interpreting Data Paper and Presentation
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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®
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®
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)
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Complete the Real Estate Regression Exercise. Format your paper
consistent with APA guidelines. Click the Assignment Files tab to submit
your assignment. 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→LinearTrendline Does the scatterplot
indicate observable correlation? If so, does it seem to be strong or
weak? In what direction? 3.Click on
Data→DataAnalysis→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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