Ch01
Student: ___________________________________________________________________________
1. The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. Statistics.
B. Descriptive statistics.
C. Inferential statistics.
D. Levels of measurement.
E. None of the choices are correct.
2. The general process of analyzing, and interpreting data to assist in making more effective decisions is
called
A. Statistics.
B. Descriptive statistics.
C. Inferential statistics.
D. Levels of measurement.
E. None of the choices are correct.
3. The general process of gathering, organizing, presenting, analyzing, and interpreting data to assist in
making more effective decisions is called
A. Statistics.
B. Descriptive statistics.
C. Inferential statistics.
D. Levels of measurement.
E. None of the choices are correct.
4. The general process of organizing, summarizing and presenting data in an informative way is called
A. Statistics.
B. Descriptive statistics.
C. Inferential statistics.
D. Levels of measurement.
E. None of the choices are correct.
5. (i) The general process of gathering, organizing, presenting, analyzing, and interpreting data to assist in
making more effective decisions is called
(ii) The general process of analyzing, and interpreting data to assist in making more effective decisions is
called
(iii) The entire set of individuals or objects of interest or the measurements obtained from all individuals
or objects of interest is called
A. (i) statistics, (ii) descriptive statistics, and (iii) a population.
B. (i) descriptive statistics, (ii) inferential statistics, and (iii) a sample.
C. (i) inferential statistics, (ii) descriptive statistics, and (iii) a population.
D. (i) statistics, (ii) descriptive statistics, and (iii) a sample.
E. (i) statistics, (ii) inferential statistics, and (iii) a population.
,6. (i) The general process of gathering, organizing, presenting, analyzing, and interpreting data to assist in
making more effective decisions is called
(ii) The general process of analyzing, and interpreting data to assist in making more effective decisions is
called
(iii) The subset of individuals or objects of interest or the measurements obtained from all individuals or
objects of interest is called
A. (i) statistics, (ii) descriptive statistics, and (iii) a population.
B. (i) descriptive statistics, (ii) inferential statistics, and (iii) a sample.
C. (i) inferential statistics, (ii) descriptive statistics, and (iii) a population.
D. (i) statistics, (ii) inferential statistics, and (iii) a sample.
E. (i) statistics, (ii) inferential statistics, and (iii) a population.
7. (i) The general process of gathering, organizing, presenting, analyzing, and interpreting data to assist in
making more effective decisions is called
(ii) The general process of analyzing, and interpreting data to assist in making more effective decisions is
called
(iii) If we test a small number of light bulbs from a large group, the small group is called a
A. (i) statistics, (ii) descriptive statistics, and (iii) a population.
B. (i) descriptive statistics, (ii) inferential statistics, and (iii) a sample.
C. (i) inferential statistics, (ii) descriptive statistics, and (iii) a population.
D. (i) statistics, (ii) inferential statistics, and (iii) a sample.
E. (i) statistics, (ii) inferential statistics, and (iii) a population.
8. (i) There are two types of variables-quantitative and qualitative.
(ii) A Qualitative variable is nonnumeric and we are usually interested in the number or percent of the
observations from each category.
(iii) Qualitative variables can be further divided into discrete and continuous variables.
A. (i), (ii) and (iii) are all correct statements.
B. (i) and, (ii) are correct statements but not (iii).
C. (i) and, (iii) are correct statements but not (ii).
D. (ii) and, (iii) are correct statements but not (i).
E. All statements are false.
9. The main purpose of descriptive statistics is to:
A. Summarize data in a useful and informative manner.
B. Make inferences about a population.
C. Determine if the data adequately represents the population.
D. Gather or collect data.
10. When TV advertisements report that "2 out of 3 dentists surveyed indicated they would recommend
Brand X toothpaste to their patients," an informed consumer may question the conclusion because:
A. The results were incorrectly computed.
B. Dentists were not really surveyed.
C. The conclusion does not include the total number of dentists surveyed.
D. The conclusion is not illustrated with a graph.
11. What is a portion or part of a population called?
A. Random sample
B. Sample
C. Tally
D. Frequency distribution
E. None of the choices are correct
,12. A marketing class of 50 students evaluated the instructor using the following scale: superior, good,
average, poor, and inferior. The descriptive summary showed the following survey results: 2% superior,
8% good, 45% average, 45% poor, and 0% inferior.
A. The instructor's performance was great!!!
B. The instructor's performance was inferior.
C. Most students rated the instructor as poor or average.
D. No conclusions can be made.
13. Which word is NOT part of the definition of descriptive statistics?
A. Organizing
B. Analyzing
C. Presenting
D. Predicting
E. None of the choices are correct
14. A marketing class of 50 students evaluated the instructor using the following scale: superior, good,
average, poor, and inferior. The descriptive summary showed the following survey results: 42% superior,
28% good, 25% average, 5% poor, and 0% inferior.
A. The instructor's performance was great!!!
B. The instructor's performance was inferior.
C. Most students rated the instructor as poor or average.
D. No conclusions can be made.
15. Colleen Waite, Director of General Canadian Sales, is concerned by a downward sales trend. Specifically,
their customer base is stable at 2,200, but they are purchasing less each year. She orders her staff to
search for causes of the downward trend by selecting a focus group of 50 customers.
A. The focus group of 50 customers represents a sample.
B. The focus group of 50 customers represents a population.
C. The focus group of 50 customers represents an inferential statistic.
D. The focus group of 50 customers represents a census.
16. Colleen Waite, Director of General Canadian Sales, is concerned by a downward sales trend. Specifically,
their customer base is stable at 2,200, but they are purchasing less each year. She orders her staff to
search for causes of the downward trend by selecting a focus group of 50 customers.
A. The 2,200 customers represent a sample.
B. The 2,200 customers represent a population.
C. The 2,200 customers represent an inferential statistic.
D. The 2,200 customers represent a census.
17. What type of data is the number of litres of gasoline pumped by a filling station during a day?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
E. None of the choices are correct
18. What type of data is the projected return on an investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
E. None of the choices are correct
, 19. (i) There are three types of variables-continuous, quantitative and qualitative.
(ii) A Qualitative variable is nonnumeric and we are usually interested in the number or percent of the
observations from each category.
(iii) Qualitative variables can be further divided into discrete and continuous variables.
A. (i), (ii) and (iii) are all correct statements.
B. (i) and, (ii) are correct statements but not (iii).
C. (i) and, (iii) are correct statements but not (ii).
D. (ii) and, (iii) are correct statements but not (i).
E. Only statement (ii) is true.
20. What type of data is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
E. None of the choices are correct
21. A survey reports consumers' preferred brands of dish soap. What type of data is this called?
A. Quantitative
B. Continuous
C. Discrete
D. Qualitative
E. None of the choices are correct
22. Which of the following is an example of attribute data?
A. Number of children in a family
B. Weight of a person
C. Color of ink in a pen
D. Miles between oil changes
E. None of the choices are correct
23. A survey reports consumers' preferred hair colour. What type of data is this called?
A. Attribute or Qualitative
B. Continuous
C. Discrete
D. Quantitative
E. None of the choices are correct
24. (i) There are two types of variables-quantitative and qualitative.
(ii) A Qualitative variable is nonnumeric and we are usually interested in the number or percent of the
observations from each category.
(iii) Quantitative variables can be further divided into discrete and continuous variables.
A. (i), (ii) and (iii) are all correct statements.
B. (i) and, (ii) are correct statements but not (iii).
C. (i) and, (iii) are correct statements but not (ii).
D. (ii) and, (iii) are correct statements but not (i).
E. All statements are false.
25. Your height and weight are examples of which type of random variable?
A. Discrete
B. Continuous
C. Mutually exclusive
D. Qualitative
E. None of the choices are correct
Student: ___________________________________________________________________________
1. The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. Statistics.
B. Descriptive statistics.
C. Inferential statistics.
D. Levels of measurement.
E. None of the choices are correct.
2. The general process of analyzing, and interpreting data to assist in making more effective decisions is
called
A. Statistics.
B. Descriptive statistics.
C. Inferential statistics.
D. Levels of measurement.
E. None of the choices are correct.
3. The general process of gathering, organizing, presenting, analyzing, and interpreting data to assist in
making more effective decisions is called
A. Statistics.
B. Descriptive statistics.
C. Inferential statistics.
D. Levels of measurement.
E. None of the choices are correct.
4. The general process of organizing, summarizing and presenting data in an informative way is called
A. Statistics.
B. Descriptive statistics.
C. Inferential statistics.
D. Levels of measurement.
E. None of the choices are correct.
5. (i) The general process of gathering, organizing, presenting, analyzing, and interpreting data to assist in
making more effective decisions is called
(ii) The general process of analyzing, and interpreting data to assist in making more effective decisions is
called
(iii) The entire set of individuals or objects of interest or the measurements obtained from all individuals
or objects of interest is called
A. (i) statistics, (ii) descriptive statistics, and (iii) a population.
B. (i) descriptive statistics, (ii) inferential statistics, and (iii) a sample.
C. (i) inferential statistics, (ii) descriptive statistics, and (iii) a population.
D. (i) statistics, (ii) descriptive statistics, and (iii) a sample.
E. (i) statistics, (ii) inferential statistics, and (iii) a population.
,6. (i) The general process of gathering, organizing, presenting, analyzing, and interpreting data to assist in
making more effective decisions is called
(ii) The general process of analyzing, and interpreting data to assist in making more effective decisions is
called
(iii) The subset of individuals or objects of interest or the measurements obtained from all individuals or
objects of interest is called
A. (i) statistics, (ii) descriptive statistics, and (iii) a population.
B. (i) descriptive statistics, (ii) inferential statistics, and (iii) a sample.
C. (i) inferential statistics, (ii) descriptive statistics, and (iii) a population.
D. (i) statistics, (ii) inferential statistics, and (iii) a sample.
E. (i) statistics, (ii) inferential statistics, and (iii) a population.
7. (i) The general process of gathering, organizing, presenting, analyzing, and interpreting data to assist in
making more effective decisions is called
(ii) The general process of analyzing, and interpreting data to assist in making more effective decisions is
called
(iii) If we test a small number of light bulbs from a large group, the small group is called a
A. (i) statistics, (ii) descriptive statistics, and (iii) a population.
B. (i) descriptive statistics, (ii) inferential statistics, and (iii) a sample.
C. (i) inferential statistics, (ii) descriptive statistics, and (iii) a population.
D. (i) statistics, (ii) inferential statistics, and (iii) a sample.
E. (i) statistics, (ii) inferential statistics, and (iii) a population.
8. (i) There are two types of variables-quantitative and qualitative.
(ii) A Qualitative variable is nonnumeric and we are usually interested in the number or percent of the
observations from each category.
(iii) Qualitative variables can be further divided into discrete and continuous variables.
A. (i), (ii) and (iii) are all correct statements.
B. (i) and, (ii) are correct statements but not (iii).
C. (i) and, (iii) are correct statements but not (ii).
D. (ii) and, (iii) are correct statements but not (i).
E. All statements are false.
9. The main purpose of descriptive statistics is to:
A. Summarize data in a useful and informative manner.
B. Make inferences about a population.
C. Determine if the data adequately represents the population.
D. Gather or collect data.
10. When TV advertisements report that "2 out of 3 dentists surveyed indicated they would recommend
Brand X toothpaste to their patients," an informed consumer may question the conclusion because:
A. The results were incorrectly computed.
B. Dentists were not really surveyed.
C. The conclusion does not include the total number of dentists surveyed.
D. The conclusion is not illustrated with a graph.
11. What is a portion or part of a population called?
A. Random sample
B. Sample
C. Tally
D. Frequency distribution
E. None of the choices are correct
,12. A marketing class of 50 students evaluated the instructor using the following scale: superior, good,
average, poor, and inferior. The descriptive summary showed the following survey results: 2% superior,
8% good, 45% average, 45% poor, and 0% inferior.
A. The instructor's performance was great!!!
B. The instructor's performance was inferior.
C. Most students rated the instructor as poor or average.
D. No conclusions can be made.
13. Which word is NOT part of the definition of descriptive statistics?
A. Organizing
B. Analyzing
C. Presenting
D. Predicting
E. None of the choices are correct
14. A marketing class of 50 students evaluated the instructor using the following scale: superior, good,
average, poor, and inferior. The descriptive summary showed the following survey results: 42% superior,
28% good, 25% average, 5% poor, and 0% inferior.
A. The instructor's performance was great!!!
B. The instructor's performance was inferior.
C. Most students rated the instructor as poor or average.
D. No conclusions can be made.
15. Colleen Waite, Director of General Canadian Sales, is concerned by a downward sales trend. Specifically,
their customer base is stable at 2,200, but they are purchasing less each year. She orders her staff to
search for causes of the downward trend by selecting a focus group of 50 customers.
A. The focus group of 50 customers represents a sample.
B. The focus group of 50 customers represents a population.
C. The focus group of 50 customers represents an inferential statistic.
D. The focus group of 50 customers represents a census.
16. Colleen Waite, Director of General Canadian Sales, is concerned by a downward sales trend. Specifically,
their customer base is stable at 2,200, but they are purchasing less each year. She orders her staff to
search for causes of the downward trend by selecting a focus group of 50 customers.
A. The 2,200 customers represent a sample.
B. The 2,200 customers represent a population.
C. The 2,200 customers represent an inferential statistic.
D. The 2,200 customers represent a census.
17. What type of data is the number of litres of gasoline pumped by a filling station during a day?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
E. None of the choices are correct
18. What type of data is the projected return on an investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
E. None of the choices are correct
, 19. (i) There are three types of variables-continuous, quantitative and qualitative.
(ii) A Qualitative variable is nonnumeric and we are usually interested in the number or percent of the
observations from each category.
(iii) Qualitative variables can be further divided into discrete and continuous variables.
A. (i), (ii) and (iii) are all correct statements.
B. (i) and, (ii) are correct statements but not (iii).
C. (i) and, (iii) are correct statements but not (ii).
D. (ii) and, (iii) are correct statements but not (i).
E. Only statement (ii) is true.
20. What type of data is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
E. None of the choices are correct
21. A survey reports consumers' preferred brands of dish soap. What type of data is this called?
A. Quantitative
B. Continuous
C. Discrete
D. Qualitative
E. None of the choices are correct
22. Which of the following is an example of attribute data?
A. Number of children in a family
B. Weight of a person
C. Color of ink in a pen
D. Miles between oil changes
E. None of the choices are correct
23. A survey reports consumers' preferred hair colour. What type of data is this called?
A. Attribute or Qualitative
B. Continuous
C. Discrete
D. Quantitative
E. None of the choices are correct
24. (i) There are two types of variables-quantitative and qualitative.
(ii) A Qualitative variable is nonnumeric and we are usually interested in the number or percent of the
observations from each category.
(iii) Quantitative variables can be further divided into discrete and continuous variables.
A. (i), (ii) and (iii) are all correct statements.
B. (i) and, (ii) are correct statements but not (iii).
C. (i) and, (iii) are correct statements but not (ii).
D. (ii) and, (iii) are correct statements but not (i).
E. All statements are false.
25. Your height and weight are examples of which type of random variable?
A. Discrete
B. Continuous
C. Mutually exclusive
D. Qualitative
E. None of the choices are correct
