lOMoARcPSD|12504245
WGU Data Driven Decision Making -
C207
Module 1 - 6 practice
questions
2022/2023
,
, lOMoARcPSD|12504245
Module 1
1. is the discovery, analysis and communication of
meaningful patterns in data.
Analytics
2. is a prejudice in data that results when either the
respondent or the interviewer have and agenda that affects responses.
Information Bias
3. places data into categories that are ordered by a
predetermined criteria.
Ordinal Data
4. occurs when something (for example data or
survey response) is missing.
Omission Error
5. is numerical data that is ordered, is equal distance
apart and does not have a natural zero.
Interval Data
6. is consistent and repeatable.
Reliable Data
7. represents errors in data caused by unpredictable
statistical fluctuations. *
Random Error
8. places data into “either or” categories or identifies
by name or characteristic. *
Nominal Data
9. includes cleaning and storage of collected data. *
Data Management
10. is a massive amount of data that is difficult to
process using traditional database and software techniques.
Big Data
11. is numerical data that has a natural zero allowing this
data to be added, subtracted, multiplied, and divided.
, lOMoARcPSD|12504245
Ratio Data
12. is a prejudice in data that results when the sample is
not representative of the population be tested
Measurement Bias
13. Why is quantitative analysis and analytics important in decision making.
Decisions are less subjective
Analytics can be explanatory
Managers can build predictive models
14. Sales for the Northern Region are expected to decrease 2% in the
next fiscal year
Predictive Analysis
15. The median household income for New York City from 2009 – 2013 is
$58,003.
Descriptive Analysis
16. Alternating two trains between 5:00 p.m. and 7:00 p.m. will increase
on time arrivals
Prescriptive Analysis
17. The largest consumer group of the product is female.
Descriptive Analysis
18. Employee turnover for the organization will be more than 5%.
Predictive Analysis
19. Increasing the ratio of ingredient A to ingredient B to 1:1.5 will yield
more product.
Prescriptive Analysis
20. Stage 1 of the Davenport-Kim Three-stage Model includes which
two of the following steps? *
Review of previous
Problem Recognition
WGU Data Driven Decision Making -
C207
Module 1 - 6 practice
questions
2022/2023
,
, lOMoARcPSD|12504245
Module 1
1. is the discovery, analysis and communication of
meaningful patterns in data.
Analytics
2. is a prejudice in data that results when either the
respondent or the interviewer have and agenda that affects responses.
Information Bias
3. places data into categories that are ordered by a
predetermined criteria.
Ordinal Data
4. occurs when something (for example data or
survey response) is missing.
Omission Error
5. is numerical data that is ordered, is equal distance
apart and does not have a natural zero.
Interval Data
6. is consistent and repeatable.
Reliable Data
7. represents errors in data caused by unpredictable
statistical fluctuations. *
Random Error
8. places data into “either or” categories or identifies
by name or characteristic. *
Nominal Data
9. includes cleaning and storage of collected data. *
Data Management
10. is a massive amount of data that is difficult to
process using traditional database and software techniques.
Big Data
11. is numerical data that has a natural zero allowing this
data to be added, subtracted, multiplied, and divided.
, lOMoARcPSD|12504245
Ratio Data
12. is a prejudice in data that results when the sample is
not representative of the population be tested
Measurement Bias
13. Why is quantitative analysis and analytics important in decision making.
Decisions are less subjective
Analytics can be explanatory
Managers can build predictive models
14. Sales for the Northern Region are expected to decrease 2% in the
next fiscal year
Predictive Analysis
15. The median household income for New York City from 2009 – 2013 is
$58,003.
Descriptive Analysis
16. Alternating two trains between 5:00 p.m. and 7:00 p.m. will increase
on time arrivals
Prescriptive Analysis
17. The largest consumer group of the product is female.
Descriptive Analysis
18. Employee turnover for the organization will be more than 5%.
Predictive Analysis
19. Increasing the ratio of ingredient A to ingredient B to 1:1.5 will yield
more product.
Prescriptive Analysis
20. Stage 1 of the Davenport-Kim Three-stage Model includes which
two of the following steps? *
Review of previous
Problem Recognition
