Business Statistics: For Contemporary Decision Making 3rd Canadian Edition by Ken Black Test bank

9. Gathering data from a sample to reach conclusions about the population from which the
sample was drawn is called descriptive statistics.
Answer: False
Difficulty: Medium
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
10. Gathering data from a sample to reach conclusions about the population from which the
sample was drawn is called inferential statistics.
Answer: True
Difficulty: Medium
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
11. The basis for inferential statistics is the ability to make decisions about population
parameters without having to complete a census of the population.
Answer: True
Difficulty: Easy
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
12. All numerical data must be analyzed statistically in the same way because all of them are
represented by numbers.
Answer: False
Difficulty: Hard
Learning Objective: Explain the difference between variables, measurement, and data, and
compare the four different levels of data: nominal, ordinal, interval, and ratio.
Section Reference: 1.2 Variables, Data and Data Measurement
Blooms: Knowledge
AACSB: Analytic
1 - 7  test bank for Business Statistics, Third Canadian Edition
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13. The manner in which numerical data can be analyzed statistically depends on the level of
data measurement represented by numbers being analyzed.
Answer: True
Difficulty: Hard
Learning Objective: Explain the difference between variables, measurement, and data, and
compare the four different levels of data: nominal, ordinal, interval, and ratio.
Section Reference: 1.2 Variables, Data and Data Measurement
Blooms: Knowledge
AACSB: Analytic
14. The lowest level of data measurement is the ratio-level.
Answer: False
Difficulty: Easy
Learning Objective: Explain the difference between variables, measurement, and data, and
compare the four different levels of data: nominal, ordinal, interval, and ratio.
Section Reference: 1.2 Variables, Data and Data Measurement
Blooms: Knowledge
AACSB: Analytic
15. The highest level of data measurement is the ratio-level.
Answer: True
Difficulty: Easy
Learning Objective: Explain the difference between variables, measurement, and data, and
compare the four different levels of data: nominal, ordinal, interval, and ratio.
Section Reference: 1.2 Variables, Data and Data Measurement
Blooms: Knowledge
AACSB: Analytic
16. Numbers which are used to classify or categorize the observations represent data measured
at the nominal level.
Answer: True
Difficulty: Medium
Learning Objective: Explain the difference between variables, measurement, and data, and
compare the four different levels of data: nominal, ordinal, interval, and ratio.
Section Reference: 1.2 Variables, Data and Data Measurement
Blooms: Knowledge
AACSB: Analytic
Introduction to Statistics  1 - 8
Copyright © 20120 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is prohibited
17. Numbers which are used to rank-order the performance of workers represent data
measured at the interval level.
Answer: False
Difficulty: Medium
Learning Objective: Explain the difference between variables, measurement, and data, and
compare the four different levels of data: nominal, ordinal, interval, and ratio.
Section Reference: 1.2 Variables, Data and Data Measurement
Blooms: Knowledge
AACSB: Analytic
18. Nominal and ordinal data are sometimes referred to as qualitative data.
Answer: True
Difficulty: Easy
Learning Objective: Explain the difference between variables, measurement, and data, and
compare the four different levels of data: nominal, ordinal, interval, and ratio.
Section Reference: 1.2 Variables, Data and Data Measurement
Blooms: Knowledge
AACSB: Analytic
19. Nominal and ordinal data are sometimes referred to as quantitative data.
Answer: False
Difficulty: Easy
Learning Objective: Explain the difference between variables, measurement, and data, and