SOLUTIONS MANUAL
** All Chapters included
** Excel Data files Solution
** Data Analytics
,Table of Contents are given below
1. What Is Statistics?
2. Describing Data: Frequency Tables, Frequency Distributions, and
Graphic Presentation
3. Describing Data: Numerical Measures
4. Describing Data: Displaying and Exploring Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling, Sampling Methods, and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11. Two-Sample Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression Analysis
15. Nonparametric Methods Nominal Level Hypothesis Tests
16. Nonparametric Methods: Analysis of Ordinal Data
17. Index Numbers
18. Forecasting with Time Series Analysis
19. Statistical Process Control and Quality Management
,Chapter 01 - What Is Statistics?
Chapter 1
What Is Statistics?
1. a. Interval
b. Ratio
c. Nominal
d. Nominal
e. Ordinal
f. Ratio (LO1-5)
2. a. Ratio
b. Nominal
c. Ratio
d. Ratio (LO1-5)
3. Answer will vary. (LO1-5)
4. a. Sample b. Population
c. Population d. Sample (LO1-3)
5. Qualitative data is not numerical, whereas quantitative data is numerical. Examples will vary by
student. (LO1-4)
6. A population is the entire group which you are studying. A sample is a subset taken from a
population. (LO1-3)
7. Discrete variables can assume only certain values, but continuous variables can assume any values
within some range. Examples will vary. (LO1-4)
8. a A population is used because the professor likely has grades readily available from
every student over the past 5 years.
b. A population is used because the information is easy to find.
c. A population is used because you are interested in the top five companies.
d. During a selected season, a random sample of days would be selected, and the
electricity consumed recorded. (LO1-3)
9. a Ordinal
b. Ratio
c. The newer system provided information on the distance between exits. (LO1-5)
1-1
, Chapter 01 - What Is Statistics?
10. The cell phone provider is nominal level data. The minutes used are ratio level. Satisfaction is
ordinal level. (LO1-5)
11. a The ranking of wearable technologies would most likely be based on a population. All
possible brands and models could be listed.
b. Since the ratings are self-reported, it is very likely that not all users submitted a rating.
Therefore, the ratings are a sample or a subset of the population. (LO1-3)
12. In a presidential election all votes are counted, thus it is similar to a census of the entire
population. However, an “exit” poll consists of only some voters and thus is more like a
sample of the entire population. (LO1-3)
13.
Approach Discrete Continuous
b. Country
d. Energy drink preference
Qualitative
g. Student rank in class
h. Rating of a finance professor
c. Sales volume of treadmills
a. Salary
Quantitative f. SAT scores
e. Temperature
i. Number of home video devices
Scales of
Discrete Continuous
Measurement
Nominal b. Country
d. Energy drink preference
Ordinal g. Student rank in class
h. Rating of a finance professor
Interval f. SAT scores e. Temperature
c. Sales volume of treadmills.
Ratio a. Salary
i. Number of home video devices
(LO1-4 and LO1-5)
14. Answers will vary. (LO1-5)
1-2
** All Chapters included
** Excel Data files Solution
** Data Analytics
,Table of Contents are given below
1. What Is Statistics?
2. Describing Data: Frequency Tables, Frequency Distributions, and
Graphic Presentation
3. Describing Data: Numerical Measures
4. Describing Data: Displaying and Exploring Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling, Sampling Methods, and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11. Two-Sample Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression Analysis
15. Nonparametric Methods Nominal Level Hypothesis Tests
16. Nonparametric Methods: Analysis of Ordinal Data
17. Index Numbers
18. Forecasting with Time Series Analysis
19. Statistical Process Control and Quality Management
,Chapter 01 - What Is Statistics?
Chapter 1
What Is Statistics?
1. a. Interval
b. Ratio
c. Nominal
d. Nominal
e. Ordinal
f. Ratio (LO1-5)
2. a. Ratio
b. Nominal
c. Ratio
d. Ratio (LO1-5)
3. Answer will vary. (LO1-5)
4. a. Sample b. Population
c. Population d. Sample (LO1-3)
5. Qualitative data is not numerical, whereas quantitative data is numerical. Examples will vary by
student. (LO1-4)
6. A population is the entire group which you are studying. A sample is a subset taken from a
population. (LO1-3)
7. Discrete variables can assume only certain values, but continuous variables can assume any values
within some range. Examples will vary. (LO1-4)
8. a A population is used because the professor likely has grades readily available from
every student over the past 5 years.
b. A population is used because the information is easy to find.
c. A population is used because you are interested in the top five companies.
d. During a selected season, a random sample of days would be selected, and the
electricity consumed recorded. (LO1-3)
9. a Ordinal
b. Ratio
c. The newer system provided information on the distance between exits. (LO1-5)
1-1
, Chapter 01 - What Is Statistics?
10. The cell phone provider is nominal level data. The minutes used are ratio level. Satisfaction is
ordinal level. (LO1-5)
11. a The ranking of wearable technologies would most likely be based on a population. All
possible brands and models could be listed.
b. Since the ratings are self-reported, it is very likely that not all users submitted a rating.
Therefore, the ratings are a sample or a subset of the population. (LO1-3)
12. In a presidential election all votes are counted, thus it is similar to a census of the entire
population. However, an “exit” poll consists of only some voters and thus is more like a
sample of the entire population. (LO1-3)
13.
Approach Discrete Continuous
b. Country
d. Energy drink preference
Qualitative
g. Student rank in class
h. Rating of a finance professor
c. Sales volume of treadmills
a. Salary
Quantitative f. SAT scores
e. Temperature
i. Number of home video devices
Scales of
Discrete Continuous
Measurement
Nominal b. Country
d. Energy drink preference
Ordinal g. Student rank in class
h. Rating of a finance professor
Interval f. SAT scores e. Temperature
c. Sales volume of treadmills.
Ratio a. Salary
i. Number of home video devices
(LO1-4 and LO1-5)
14. Answers will vary. (LO1-5)
1-2
