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C207 DATA DRIVEN DECISION MAKING FINAL EXAM 2025/2026 LATEST QUESTION AND ANSWER WESTERN GOVERNORS UNIVERSITY

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C207 DATA DRIVEN DECISION MAKING FINAL EXAM 2025/2026 LATEST QUESTION AND ANSWER WESTERN GOVERNORS UNIVERSITY

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C207 DATA DRIVEN DECISION MAKING
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C207 DATA DRIVEN DECISION MAKING
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C207 DATA DRIVEN DECISION MAKING

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Uploaded on
September 13, 2025
Number of pages
15
Written in
2025/2026
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C207 DATA DRIVEN DECISION MAKING FINAL
EXAM 2025/2026 LATEST QUESTION AND
ANSWER WESTERN GOVERNORS UNIVERSITY
The participants are not told if they are in the treatment group or control group
Blind study

Describes characteristics of a dataset. Mean, median, mode, variation, standard deviation, range....

Descriptive analytics

Uses data from t he past to predict the future

Predictive

Uses experimental design and optimization to predict a future

Prescriptive

If we move to six appointments an hour we can increase revenue 2%. Which form of analytics is this?

Prescriptive - We are taking a specific course of action

Based on the last four quarters, we can predict $4,1 million in sales next quarter. Which form of
analytics is this?

Predictive: We aren't taking any action

The number of appointments per day averaged 7 over the last 6 months. Which form of
analytics is this?
Descriptive: We are only describing the past. No future predictions are made.

Is Big Data structured, unstructured or both?

Both

Not selecting a random sample is what type of bias?

Measurement

Not selecting a right sized sample is what type of bias?

Measurement

Research best practices eliminate...

Bias

Outliers create this type of error

, Out-of Range

Unpredictable error

Random Error - No correlation

Error may occur from missing data. (Example: Space not filled in)

Omission Error - Distorted results

This error repeats itself

Systematic Error - Skewed results

Observation points that are distant from other observations.
Outliers Note: Can be included or excluded in analysis (causes skewness)

Types of Bias: Bias that occurs from not selecting a random sample

Measurement bias

Types of Bias: Bias introduced because respondents believe it will be beneficial if selected.

Conscious bias (key word: benefit)

Consistent and repeatable data

Reliable

Resulting from accurate measurements

Valid data

If a responder lies on their survey, this creates what type of bias?

Information

Sorting your spreadsheet can expose these errors by moving them to the very top or the very bottom
of the column

Omission or Out-of-Range

An error that will fix itself over time

Random

An error that will not fix itself. You must do something

Systematic

Cleaning and organizing data

Data Management

Are the following variable quantitative or qualitative? Personality type, social class, or communication
style

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