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File: ch02, Chapter 2: Charts and Graphs
True/False
Ans: True
Response: See section 2.1 Frequency Distributions
Difficulty: Easy
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Ans: False
Response: See section 2.3 Qualitative Data Graphs
Difficulty: Easy
Learning Objective: 2.3: Construct different types of qualitative data graphs, including pie charts, bar graphs, and Pareto charts, in order to interpret the data being graphed.
Ans: False
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Ans: True
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Ans: True
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Ans: False
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Ans: True
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Ans: False
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Ans: False
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Hard
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Ans: True
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Ans: False
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Ans: False
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Ans: False
Response: See section 2.4 Charts and Graphs for Two Variables.
Difficulty: Medium
Learning objective: 2.4: Recognize basic trends in two-variable scatter plots of numerical data.
Ans: True
Response: See section 2.4 Charts and Graphs for Two Variables
Difficulty: Medium
Learning objective: 2.4: Recognize basic trends in two-variable scatter plots of numerical data.
Ans: True
Response: See section 2.4 Charts and Graphs for Two Variables
Difficulty: Medium
Learning objective: 2.4: Recognize basic trends in two-variable scatter plots of numerical data.
Ans: False
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Multiple Choice
Class Interval Frequency
10-under 20 15
20-under 30 25
30-under 40 10
What is the midpoint of the first class?
Ans: c
Response: See section 2.1 Frequency Distributions
Difficulty: Easy
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Frequency
10-under 20 15
20-under 30 25
30-under 40 10
What is the relative frequency of the first class?
Ans: b
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Frequency
10-under 20 15
20-under 30 25
30-under 40 10
What is the cumulative frequency of the second class interval?
Ans: b
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Frequency
20-under 40 30
40-under 60 45
60-under 80 80
80-under 100 45
What is the midpoint of the last class?
Ans: d
Response: See section 2.1 Frequency Distributions
Difficulty: Easy
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Frequency
20-under 40 30
40-under 60 45
60-under 80 80
80-under 100 45
What is the relative frequency of the second class?
Ans: c
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Frequency
20-under 40 30
40-under 60 45
60-under 80 80
80-under 100 45
What is the cumulative frequency of the third class?
Ans: c
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Stem Leaf
1 0, 2, 5, 7
2 2, 3, 4, 4
3 0, 4, 6, 6, 9
4 5, 8, 8, 9
5 2, 7, 8
Suppose that a frequency distribution was developed from this, and there were 5 classes (10-under 20, 20-under 30, etc.). What would the frequency be for class 30-under 40?
Ans: e
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Stem Leaf
1 0, 2, 5, 7
2 2, 3, 4, 8
3 0, 4, 6, 6, 9
4 5, 8, 8, 9
5 2, 7, 8
Suppose that a frequency distribution was developed from this, and there were 5 classes (10-under 20, 20-under 30, etc.). What would be the relative frequency of the class 20-under 30?
Ans: c
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Stem Leaf
1 0, 2, 5, 7
2 2, 3, 4, 8
3 0, 4, 6, 6, 9
4 5, 8, 8, 9
5 2, 7, 8
Suppose that a frequency distribution was developed from this, and there were 5 classes (10-under 20, 20-under 30, etc.). What was the highest number in the data set?
Ans: b
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Stem Leaf
1 0, 2, 5, 7
2 2, 3, 4, 8
3 0, 4, 6, 6, 9
4 5, 8, 8, 9
5 2, 7, 8
Suppose that a frequency distribution was developed from this, and there were 5 classes (10-under 20, 20-under 30, etc.). What was the lowest number in the data set?
Ans: b
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Stem Leaf
1 0, 2, 5, 7
2 2, 3, 4, 8
3 0, 4, 6, 6, 9
4 5, 8, 8, 9
5 2, 7, 8
Suppose that a frequency distribution was developed from this, and there were 5 classes (10-under 20, 20-under 30, etc.). What is the cumulative frequency for the 30-under 40 class interval?
Ans: c
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Ans: b
Response: See section 2.3 Qualitative Data Graphs
Difficulty: Medium
Learning Objective: 2.3: Construct different types of qualitative data graphs, including pie charts, bar graphs, and Pareto charts, in order to interpret the data being graphed.
19, 23, 21, 19, 19, 20, 22, 31, 21, 20
If a stem and leaf plot were to be developed from this, how many stems would there be?
Ans: b
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Ans: e
Response: See section 2.1 Frequency Distributions
Difficulty: Easy
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Ans: b
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Ans: d
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Ans: e
Response: See section 2.1 Frequency Distributions
Difficulty: Hard
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Salary Number of Graduates
($1,000s)
18-under 21
21-under 25
24-under 27
29-under 30
Before data was collected, someone questioned the validity of this arrangement. Which of the following represents a problem with this set of intervals?
Ans: c
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Salary Number of Graduates
($1,000s)
18-under 21
21-under 25
24-under 27
29-under 30
Before data was collected, someone questioned the validity of this arrangement. Which of the following represents a problem with this set of intervals?
Ans: c
Response: See section 2.1 Frequency Distributions
Difficulty: Hard
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Salary Number of Graduates
($1,000s)
18-under 21
21-under 25
24-under 27
29-under 30
Before data was collected, someone questioned the validity of this arrangement. Which of the following represents a problem with this set of intervals?
Ans: d
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Absences Number of Employees
(Days)
0-under 5
5-under 10
10-under 15
20-under 25
25-under 30
Which of the following represents a problem with this set of intervals?
Ans: b
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Absences Number of Employees
(Days)
0-under 10
10-under 20
20-under 30
Which of the following might represent a problem with this set of intervals?
Ans: a
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Relative Frequency
20-under 40 0.2
40-under 60 0.3
60-under 80 0.4
80-under 100 0.1
There were 60 numbers in the data set. How many numbers were in the interval 20-under 40?
Ans: a
Response: See section 2.1 Frequency Distributions
Difficulty: Easy
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Relative Frequency
20-under 40 0.2
40-under 60 0.3
60-under 80 0.4
80-under 100 0.1
There were 60 numbers in the data set. How many numbers were in the interval 40-under 60?
Ans: c
Response: See section 2.1 Frequency Distributions
Difficulty: Easy
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Relative Frequency
20-under 40 0.2
40-under 60 0.3
60-under 80 0.4
80-under 100 0.1
There were 60 numbers in the data set. How many of the number were less than 80?
Ans: d
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Frequency
100-under 200 25
200-under 300 45
300-under 400 30
What is the midpoint of the first class?
Ans: b
Response: See section 2.1 Frequency Distributions
Difficulty: Easy
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Frequency
100-under 200 25
200-under 300 45
300-under 400 30
What is the relative frequency of the second class interval?
Ans: a
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Frequency
100-under 200 25
200-under 300 45
300-under 400 30
What is the cumulative frequency of the second class interval?
Ans: c
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Class Interval Frequency
100-under 200 25
200-under 300 45
300-under 400 30
What is the midpoint of the last class interval?
Ans: b
Response: See section 2.1 Frequency Distributions
Difficulty: Easy
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Errors per Voucher Number of Vouchers
0-under 2 500
2-under 4 400
4-under 6 300
6-under 8 200
8-under 10 100
The relative frequency of the first class interval is _________.
Ans: b
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
in the payroll system and orders an inspection of each and every payroll voucher issued since January 1, 2000. Each payroll voucher was inspected and the following frequency distribution was compiled.
Errors per Voucher Number of Vouchers
0-under 2 500
2-under 4 400
4-under 6 300
6-under 8 200
8-under 10 100
The cumulative frequency of the second class interval is _________.
Ans: c
Response: See section 2.1 Frequency Distributions
Difficulty: Medium
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Errors per Voucher Number of Vouchers
0-under 2 500
2-under 4 400
4-under 6 300
6-under 8 200
8-under 10 100
The midpoint of the first class interval is _________.
Ans: d
Response: See section 2.1 Frequency Distributions
Difficulty: Easy
Learning Objective: 2.1: Construct a frequency distribution from a set of data.
Which of the following is true?
Ans: b
Response: See section 2.3 Qualitative Data Graphs
Difficulty: Medium
Learning Objective: 2.3: Construct different types of qualitative data graphs, including pie charts, bar graphs, and Pareto charts, in order to interpret the data being graphed.
Ans: a
Response: See section 2.3 Qualitative Data Graphs
Difficulty: Medium
Learning Objective: 2.3: Construct different types of qualitative data graphs, including pie charts, bar graphs, and Pareto charts, in order to interpret the data being graphed.
Company Bs sales in 1999 were ___________.
Ans: c
Response: See section 2.3 Qualitative Data Graphs
Difficulty: Medium
Learning Objective: 2.3: Construct different types of qualitative data graphs, including pie charts, bar graphs, and Pareto charts, in order to interpret the data being graphed.
Which of the following may be a false statement?
Ans: a
Response: See section 2.3 Qualitative Data Graphs
Difficulty: Hard
Learning Objective: 2.3: Construct different types of qualitative data graphs, including pie charts, bar graphs, and Pareto charts, in order to interpret the data being graphed.
The total number of sales transactions on Saturday was _____________.
Ans: b
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
The percentage of sales transactions on Saturday that were under $100 each was _____________.
Ans: d
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
The percentage of sales transactions on Saturday that were at least $100 each was _____________.
Ans: c
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
The percentage of sales transactions on Saturday that were between $100 and $150 was _____________.
Ans: c
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Hard
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
On Friday, the approximate number of sales transactions in the 125-under 150 category was _____________.
Ans: d
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
On Friday, the approximate number of sales transactions between $100 and $150 was _____________.
Ans: c
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
The total number of walk-in customers included in the study was _________.
Ans: d
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
The percentage of walk-in customers waiting one minute or less was _________.
Ans: a
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
The percentage of walk-in customers waiting more than 6 minutes was ______.
Ans: b
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
The percentage of walk-in customers waiting between 1 and 6 minutes was ___.
Ans: e
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Approximately _____ walk-in customers waited less than 2 minutes.
Ans: d
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Approximately ____ walk-in customers waited at least 7 minutes.
Ans: b
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Ans: d
Response: See section 2.3 Qualitative Data Graphs
Difficulty: Hard
Learning Objective: 2.3: Construct different types of qualitative data graphs, including pie charts, bar graphs, and Pareto charts, in order to interpret the data being graphed.
Approximately ________ corporations had capitalization exceeding $200,000,000.
Ans: b
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Approximately ________ corporations had capitalizations of $200,000,000 or less.
Ans: d
Response: See section 2.2 Quantitative Data Graphs
Difficulty: Medium
Learning Objective: 2.2: Construct different types of quantitative data graphs, including histograms, frequency polygons, ogives, dot plots, and stem-and-leaf plots, in order to interpret the data being graphed.
Ans: b
Response: See section 2.3 Qualitative Data Graphs
Difficulty: Medium
Learning Objective: 2.3: Construct different types of qualitative data graphs, including pie charts, bar graphs, and Pareto charts, in order to interpret the data being graphed.
Ans: a
Response: See section 2.3 Qualitative Data Graphs
Difficulty: Medium
Learning Objective: 2.3: Construct different types of qualitative data graphs, including pie charts, bar graphs, and Pareto charts, in order to interpret the data being graphed
Ans: b
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