Last Updated: Aug 16, 2026
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| Section | Objectives |
|---|---|
| Decision-Making Frameworks | - Evidence-Based Decision Making - Risk Analysis and Assessment - Cost-Benefit Analysis - Rational Decision Models |
| Data-Driven Culture and Communication | - Ethical Considerations in Data Use - Stakeholder Communication - Building Data-Informed Organizations - Presenting Data Insights |
| Data Analysis Fundamentals | - Data Quality and Cleaning - Data Types and Measurement Scales - Descriptive Statistics - Data Visualization Techniques |
| Business Intelligence and Analytics | - Predictive Analytics Basics - Key Performance Indicators (KPIs) - Dashboards and Reporting - Data Mining Concepts |
1. A financial analyst theorizes that commute times increase as the percentage of land availability for homes in a city decreases. To test this hypothesis, the analyst uses a regression analysis to explore how land availability predicts commute time.
What does land availability represent in this regression?
A) It is the independent variable.
B) It is a control.
C) It is the dependent variable.
D) It is the target variable.
2. Which two statements describe Ishikawa's seven basic tools of quality?
Choose 2 answers.
A) The tools help develop advanced training for employees.
B) An average worker can easily understand how to use the tools.
C) Processes are represented with photos of each input and output.
D) Processes are represented graphically.
3. An electronics retailer was presented with in-store signage in two formats. Each branch of the store used the signage that matched its location. An analysis was performed to compare means on sales. Which type of variable do the sales represent?
A) Dependent variable
B) Criterion variable
C) Target variable
D) Independent variable
4. Which two results occur when the null hypothesis is accepted using an F-test?
Choose 2 answers.
A) There appears to be no difference between the two samples.
B) The test statistic is less than the critical value.
C) The test statistic is greater than the critical value.
D) There appears to be a difference between the two samples.
5. A clothing company wants to predict sales figures based on the amount spent on advertising.
Which type of regression analysis should this company use?
A) Multiple linear regression
B) Logistic regression
C) Linear regression
D) Time series regression
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B,D | Question # 3 Answer: A | Question # 4 Answer: A,B | Question # 5 Answer: C |
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