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| Section | Objectives |
|---|---|
| Decision-Making Frameworks | - Rational Decision Models - Risk Analysis and Assessment - Cost-Benefit Analysis - Evidence-Based Decision Making |
| Data-Driven Culture and Communication | - Building Data-Informed Organizations - Presenting Data Insights - Stakeholder Communication - Ethical Considerations in Data Use |
| Business Intelligence and Analytics | - Dashboards and Reporting - Data Mining Concepts - Key Performance Indicators (KPIs) - Predictive Analytics Basics |
| Data Analysis Fundamentals | - Data Quality and Cleaning - Data Types and Measurement Scales - Data Visualization Techniques - Descriptive Statistics |
>> Data-Driven-Decision-Making問題集 <<
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質問 # 48
Which statement is an accurate reflection of an analytical decision made by a for-profit organization?
正解：B
解説：
A for-profit organization typically uses analytical methods to improve outcomes such as revenue, efficiency, market share, and especially profit. Among the available choices, linear programming is the recognized analytical optimization technique used to maximize or minimize an objective function subject to constraints.
In business settings, firms may use linear programming to optimize product mix, staffing, shipping routes, inventory allocation, advertising budgets, or production schedules. The purpose is to find the best possible decision based on limited resources such as time, labor, capital, or materials. The other options do not reflect standard analytical decision-making terminology in data-driven management. "Software programming" and
"hardware programming" refer to technology development activities, not profit-optimization methods, and
"social programming" does not describe a formal business optimization tool. Because the question asks for an accurate reflection of an analytical decision in a for-profit context, the correct answer is the one that uses a recognized prescriptive analytics method to optimize profit. That method is linear programming, which is widely used in operations research and managerial decision-making.
質問 # 49
A firm seeks to sharply reduce sales lead times to enhance sales effectiveness and productivity. Which action should the firm take to accomplish this?
正解：A
解説：
To sharply reduce sales lead times, the firm should deploy a customer relationship management tool. A CRM system helps organize customer information, automate follow-up processes, track sales opportunities, streamline communication, and improve coordination across the sales cycle. By reducing manual delays and improving access to customer data, a CRM can make the sales process faster and more efficient, directly supporting stronger sales effectiveness and productivity. Increasing the research and development budget would not address sales-cycle speed. Preparing a media campaign may generate interest or leads, but it does not necessarily reduce the time required to move prospects through the sales process. Additional quality assurance measures are more relevant to process quality and defect prevention than to reducing lead times in sales operations. Because the objective is to improve the speed and efficiency of handling prospects and customers, the most targeted and practical solution is the deployment of a CRM tool. Therefore, the correct answer is to deploy a customer relationship management tool.
質問 # 50
A digital marketing manager wants to determine whether conversion rates from the company's latest email campaign are about the same as the industry average or significantly different. Which statistical concept should be used to measure the data set?
正解：A
解説：
To determine whether the campaign's conversion rates are about the same as the industry average or significantly different, the manager must consider not only the average value but also how much variation exists in the data. Standard deviation is the measure that captures the spread or variability of the data around the mean. This makes it essential when evaluating whether an observed conversion rate is unusually high, unusually low, or within a normal expected range compared with the industry. The mean gives the central average, but by itself it does not show whether a result is significantly different. The median identifies the middle value, which is useful in skewed data but not sufficient for judging statistical difference in this context. A bell curve describes the shape of a normal distribution rather than serving as the core numerical measure needed here. Since the question is about determining whether results differ meaningfully from an average benchmark, standard deviation is the most appropriate concept among the options provided.
質問 # 51
A laboratory uses a graduated cylinder to measure liquid volume in metric units. Which type of experimental design is this laboratory implementing?
正解：C
解説：
A laboratory measuring liquid volume with a graduated cylinder in metric units is using quantitative research because the process involves numerical measurement and objective data collection. Quantitative research is concerned with collecting measurable data that can be analyzed statistically or compared using mathematical methods. In this case, the volume of liquid is expressed in standard units such as milliliters or liters, making it a clear numerical variable. Qualitative research, by contrast, focuses on descriptions, experiences, opinions, or non-numeric observations. "Development research" and "precision research" are not the best classifications for the method described in the question. The central feature here is that the laboratory is collecting measurable, numerical data using an instrument designed for exact observation. This aligns directly with the principles of quantitative analysis, where standardization, objectivity, and repeatability are essential. Such measurement-based methods are foundational in scientific experiments, industrial testing, and evidence-based decision-making because they allow researchers to compare results consistently and apply statistical reasoning to their findings.
質問 # 52
A normally distributed data index of vehicle safety ratings has a mean of 100 and a standard deviation of 15.
What is the probability that a randomly selected vehicle safety score from the data set will be between 85 and
115?
正解：D
解説：
The interval from 85 to 115 is exactly one standard deviation below and above the mean, since the mean is
100 and the standard deviation is 15. In a normal distribution, the empirical rule states that approximately 68 percent of observations fall within one standard deviation of the mean, about 95 percent fall within two standard deviations, and about 99.7 percent fall within three standard deviations. Because the range 85 to 115 corresponds to mean ± 1 standard deviation, the probability of selecting a score in that range is about 68 percent. Among the available options, 68.8 percent is the correct choice and best represents this probability.
The other values correspond to wider intervals: 95.4 percent is associated with two standard deviations and
99.7 percent with three. A value of 100 percent would imply every possible score lies in that range, which is not true for a normal distribution. Therefore, the correct answer is 68.8 percent because the question describes the one-standard-deviation interval around the mean.
質問 # 53
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