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| Section | Objectives |
|---|---|
| Data-Driven Culture and Communication | - Stakeholder Communication - Presenting Data Insights - Ethical Considerations in Data Use - Building Data-Informed Organizations |
| Data Analysis Fundamentals | - Data Quality and Cleaning - Data Visualization Techniques - Data Types and Measurement Scales - Descriptive Statistics |
| Decision-Making Frameworks | - Cost-Benefit Analysis - Evidence-Based Decision Making - Rational Decision Models - Risk Analysis and Assessment |
| Business Intelligence and Analytics | - Key Performance Indicators (KPIs) - Dashboards and Reporting - Data Mining Concepts - Predictive Analytics Basics |
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問題 #49
A plant manager wants to compare the production output for three assembly lines. Why is ANOVA the correct analysis technique to use for this scenario?
答案：D
解題說明：
ANOVA, or analysis of variance, is the appropriate statistical technique when comparing the means of three or more groups. In this case, the plant manager wants to compare production output for three assembly lines, so ANOVA is the correct method because it can test whether the differences among the group means are statistically significant. It does not directly identify the reason for those differences, nor does it by itself determine the exact production rate mechanism. It also does not simply declare which assembly line has the most output without considering statistical variation. The strength of ANOVA is that it evaluates whether observed differences are likely due to actual process differences rather than random variation. If the ANOVA result is significant, further post hoc analysis may be used to determine which specific lines differ from one another. Therefore, the correct answer is that ANOVA can determine whether there is a significant difference in output among the assembly lines.
問題 #50
Why would a human resources department use both mean and median when doing a salary evaluation of a department?
答案：D
解題說明：
Using both mean and median helps identifyoutliers, such as very high executive salaries that skew the average. A large difference between the two indicates uneven distribution.
Thus, the correct answer isC.
問題 #51
A retail manager collected the following sales-receipt totals from the store's cashiers:
$25, $22, $48, $42, $32, $28, $24, $54, $34, $41, $48
What is the median of this sales-receipt data?
答案：A
解題說明：
Themedianis the middle value of a dataset when the data is arranged in ascending order. It is a key descriptive statistic used in data-driven decision making because it is resistant to extreme values.
First, sort the data in ascending order:
22, 24, 25, 28, 32,34, 41, 42, 48, 48, 54
There are 11 values in total, so the median is the 6th value. The 6th value is$34, making it the median.
The median provides insight into the typical transaction size without being influenced by unusually large receipts. Therefore, the correct answer isB.
問題 #52
Why are sample sizes important for ensuring statistical significance?
答案：D
解題說明：
Sample size is critical for ensuring **statistical significance** because it determines whether results can be confidently generalized to a larger population. In data-driven decision making, larger and appropriately selected samples reduce sampling error and increase the reliability of statistical estimates.
When sample sizes are too small, observed effects may be due to random variation rather than true underlying patterns. Larger samples provide more precise estimates of population parameters and increase the power of hypothesis tests, making it easier to detect meaningful differences or relationships.
While increasing sample size does not eliminate researcher bias, prevent hypothesis misinterpretation, or remove the need for further analysis, it strengthens the validity of conclusions. Statistical significance depends on sample size, effect size, and variability, all of which influence confidence in results.
Therefore, the correct answer is **A**, as adequate sample sizes allow accurate conclusions to be confidently applied to larger populations.
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問題 #53
Which tool is often referred to as a fishbone chart or diagram?
答案：D
解題說明：
Thecause-and-effect diagram, also known as thefishbone diagramorIshikawa diagram, is used to identify potential causes of a problem. In data-driven decision making, it helps teams systematically explore root causes rather than focusing on symptoms.
The diagram visually organizes possible causes into categories such as people, processes, materials, machines, and environment. Histograms show distributions, flowcharts depict process steps, and scatter diagrams show relationships between variables.
Therefore, the correct answer isC, cause-and-effect diagram.
問題 #54
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