WGU C207 Pre-Assessment Multi Choice Version Data-Driven Decision Making (PVPC)
2022/2023
1. Analytics is a broad term that refers to a variety of tools that
inform managerial decisions.
Which term can be used to describe managerial decisions?
a. Prescriptive
b. Predictive
c. Pareto chart
d. Biased: a
2. What are two reasons for the increasing use of analytics in
organizational decision making?
a. Relatively lower cost of computer storage
b. Lower availability of statistical experts
c. Higher cost of obtaining data
d. Higher computer processing power: a, d
3. In what way does probability theory inform decision-making for
man- agers?
a. By quantifying risk
b. By quantifying data
c. By quantifying quality
d. By quantifying costs: a
4. Which type of data are the Olympic medals of gold, silver, and
bronze examples of?
a. Nominal data
b. Ordinal data
c. Interval data
d. Ratio data: b
5. What are two aspects of data quality management?
a. It calculates spurious data.
b. It reduces the amount of incomplete data.
c. It monitors data input rates.
d. It cleans data.: b, d
6. Which two attributes indicate potential data quality issues when
evaluating a set of nominal data?
,a. Outlier data
b. Missing data
c. Out-of-range data
d. Misspelled data: b, d
, 7. When conducting a study that measures an individual's weight, all
scales are calibrated prior to use in measurement. Which type of error
should this procedure significantly reduce?
a. Systematic error
b. Omission error
c. Random error
d. Information error: a
8. An advertising manager creates a research study by presenting low,
medi- um, or high frequency of the same ad in matched markets. The
manager then reports on sales in each market location. What is the term
for the different sales in this study?
a. The experimental unit
b. The treatment
c. The response variable
d. The intervention: c
9. A healthcare study follows a particular sample over time to identify
how the health habits of teenagers impact their likelihood of acquiring
various diseases later in their life in the hope that the healthcare
organization will be able to create early prevention programs. Which type
of research design does this study describe?
a. Double blind study
b. Systematic study
c. Cohort study
d. Experimental study: c
10. Several missing values in a particular field in a dataset were observed.
The likelihood of a record having a missing value is correlated to another
variable in the dataset. Which two types of error might be introduced into
the dataset if the removed record included missing values?
a. Systematic error
b. Omission error
c. Random error
d. Typographical error: a, b
11. A company is trying to increase its online sales revenue by improving
its e-mail advertising campaign for repeat customers as well as new
customers. Which two variables would be used in determining a campaign
to maximize revenue gain?
a. Number of purchases per e-mail
2022/2023
1. Analytics is a broad term that refers to a variety of tools that
inform managerial decisions.
Which term can be used to describe managerial decisions?
a. Prescriptive
b. Predictive
c. Pareto chart
d. Biased: a
2. What are two reasons for the increasing use of analytics in
organizational decision making?
a. Relatively lower cost of computer storage
b. Lower availability of statistical experts
c. Higher cost of obtaining data
d. Higher computer processing power: a, d
3. In what way does probability theory inform decision-making for
man- agers?
a. By quantifying risk
b. By quantifying data
c. By quantifying quality
d. By quantifying costs: a
4. Which type of data are the Olympic medals of gold, silver, and
bronze examples of?
a. Nominal data
b. Ordinal data
c. Interval data
d. Ratio data: b
5. What are two aspects of data quality management?
a. It calculates spurious data.
b. It reduces the amount of incomplete data.
c. It monitors data input rates.
d. It cleans data.: b, d
6. Which two attributes indicate potential data quality issues when
evaluating a set of nominal data?
,a. Outlier data
b. Missing data
c. Out-of-range data
d. Misspelled data: b, d
, 7. When conducting a study that measures an individual's weight, all
scales are calibrated prior to use in measurement. Which type of error
should this procedure significantly reduce?
a. Systematic error
b. Omission error
c. Random error
d. Information error: a
8. An advertising manager creates a research study by presenting low,
medi- um, or high frequency of the same ad in matched markets. The
manager then reports on sales in each market location. What is the term
for the different sales in this study?
a. The experimental unit
b. The treatment
c. The response variable
d. The intervention: c
9. A healthcare study follows a particular sample over time to identify
how the health habits of teenagers impact their likelihood of acquiring
various diseases later in their life in the hope that the healthcare
organization will be able to create early prevention programs. Which type
of research design does this study describe?
a. Double blind study
b. Systematic study
c. Cohort study
d. Experimental study: c
10. Several missing values in a particular field in a dataset were observed.
The likelihood of a record having a missing value is correlated to another
variable in the dataset. Which two types of error might be introduced into
the dataset if the removed record included missing values?
a. Systematic error
b. Omission error
c. Random error
d. Typographical error: a, b
11. A company is trying to increase its online sales revenue by improving
its e-mail advertising campaign for repeat customers as well as new
customers. Which two variables would be used in determining a campaign
to maximize revenue gain?
a. Number of purchases per e-mail
