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C207 Data-Driven Decision Making Pre-Assessment Test

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C207 Data-Driven Decision Making Pre-Assessment Test 1. Prescriptive 2. Relatively lower cost of computer storage Higher computer processing pow- er 3. By quantifying risk 4. Ordinal data 5. It cleans data It reduces the amount of incom- plete data. 6. Missing data Misspelled data 7. Systematic error 8. The response variable 9. Cohort Study Analytics is a broad term that refers to a variety of tools that inform managerial decisions. What are two reasons for the increasing use of analytics in organizational decision making? In what way does probability theory inform decision-mak- ing for managers? Which type of data are the Olympic medals of gold, silver, and bronze examples of? What are some of the aspects of data quality manage- ment? Which two attributes indicate potential da

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C207 Data-Driven Decision Making Pre-Assessment Test

1. Prescriptive Analytics is a broad term that refers to a variety of tools
that inform managerial decisions.

2. Relatively lower What are two reasons for the increasing use of analytics
cost of computer in organizational decision making?
storage
Higher computer
processing pow-
er

3. By quantifying In what way does probability theory inform decision-mak-
risk ing for managers?

4. Ordinal data Which type of data are the Olympic medals of gold, silver,
and bronze examples of?

5. It cleans data What are some of the aspects of data quality manage-
It reduces the ment?
amount of incom-
plete data.

6. Missing data Which two attributes indicate potential data quality issues
Misspelled data when evaluating a set of nominal data?

7. Systematic error When conducting a study that measures an individual's
weight, all scales are calibrated prior to use in measure-
ment. Which type of error should this procedure signifi-
cantly reduce?

8. The response An advertising manager creates a research study by pre-
variable senting low, medium, or high frequency of the same ad in
matched markets. The manager reports on sales in each
market location. What is the term for the different sales in
this study?

9. Cohort Study A healthcare study follows a particular sample over time
to identify how the health habits of teenagers impart their
likelihood of acquiring various diseases later in their life in
the hope that the healthcare organization will be able to



, C207 Data-Driven Decision Making Pre-Assessment Test
create early prevention programs. Which type of research
design does this study describe?

10. Omission Error Several missing values in a particular field in a dataset
Systematic Error were observed. The likelihood of a records having a miss-
ing 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?

11. Spending per A company is trying to increase its online sales revenue
purchase by improving it e-mail advertising campaign for repeat
Number of pur- customers as well as new customers. Which two variables
chases per would be used in determining a campaign to maximize
e-mail revenue gain?

12. Linear program- A company that raises turkeys is hoping to increase the
ming rate of growth of the birds while controlling the cost of feed-
ing the birds. It has determined that feeds containing both
nutrients and protein can be used. Which decision-making
technique is most appropriate for this company to mini-
mize the cost of feeding the birds?

13. Correlation Understand effective marketing to spend advertising dol-
lars efficiently.

14. ANOVA Compare outcomes of different drug testing results.

15. Control charts Monitor production process

16. Confusion of as- A researcher concludes that bananas create healthy chil-
sociation and dren because the researcher's notes indicate that children
causality who eat a banana every day are healthy. Which misuse
of statistics would this study be an example of if these
children also eat a balanced diet and exercise daily?

17. Does a causal In the month of December, there is a strong positive
relationship truly correlation between airline ticket sales and retail sales.
exist? Which question should the researcher consider before
concluding that the correlation statistic implies that airline
sales drive retail sales?

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C207 Data-Driven Decision Making

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