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| Section | Objectives |
|---|---|
| Topic 1: Decision-Making Frameworks | - Evidence-Based Decision Making - Cost-Benefit Analysis - Risk Analysis and Assessment - Rational Decision Models |
| Topic 2: Business Intelligence and Analytics | - Data Mining Concepts - Dashboards and Reporting - Predictive Analytics Basics - Key Performance Indicators (KPIs) |
| Topic 3: Data Analysis Fundamentals | - Data Visualization Techniques - Descriptive Statistics - Data Types and Measurement Scales - Data Quality and Cleaning |
| Topic 4: Data-Driven Culture and Communication | - Building Data-Informed Organizations - Stakeholder Communication - Ethical Considerations in Data Use - Presenting Data Insights |
>> Valid Data-Driven-Decision-Making Test Questions <<
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NEW QUESTION # 62
What does prevalence measure when studying disease frequency?
Answer: C
Explanation:
Prevalence measures all existing cases of a disease within a population at a given point in time or over a specified period. It includes both newly diagnosed cases and pre-existing cases that are still present. This makes prevalence a measure of the total disease burden in the population rather than a measure of the rate at which new cases arise. In public health and epidemiology, prevalence is especially useful for understanding how widespread a condition is and for planning healthcare services, allocating resources, and evaluating community health needs. It differs from incidence, which focuses only on new cases occurring during a specified time period. Because the question asks what prevalence measures, the correct answer is the one that captures all current cases, not just past or new ones. It also does not refer to potential future cases, since prevalence is based on observed disease status. Therefore, the best answer is all existing cases of a disease.
NEW QUESTION # 63
A manager has been asked to evaluate the risk of loss for a new business strategy. The manager plots the results of several simulated projections to determine the likelihood of a result being a loss. Which statistic will transform different data sets to the same scale so that the manager can compare the projections?
Answer: C
Explanation:
A z score is used to standardize values from different data sets so they can be compared on the same scale. It expresses how far a value lies from the mean in terms of standard deviations. This makes it especially useful when a manager needs to compare simulated projections that may have different averages and different spreads. By converting the results into z scores, the manager can evaluate relative performance and risk across otherwise non-comparable distributions. Median and mode describe central tendency, but they do not place values on a common standardized scale. Variance measures dispersion, but it does not directly convert or normalize observations for comparison. In risk analysis and simulation-based decision-making, standardization is often necessary when results come from multiple scenarios, models, or assumptions. Z scores provide that standard frame of reference and allow meaningful interpretation of whether a projected loss is unusually high, low, or typical within its own distribution. Therefore, the correct answer is z score because it transforms different data sets to a common comparison scale.
NEW QUESTION # 64
What does big data include?
Answer: D
Explanation:
Big data includes both structured and unstructured data. Structured data are organized in predefined formats such as rows and columns in databases, spreadsheets, or transaction systems. Unstructured data include forms such as emails, videos, social media content, images, audio files, sensor outputs, and free-text documents that do not fit neatly into traditional tabular formats. One of the defining features of big data is not just its size, but also its variety. This variety means organizations must work with multiple data types and sources to generate useful insights. The other options do not define what big data includes. Spreadsheets may handle small portions of data, but they do not define the concept itself. Powerful extraction tools may be used in big data environments, but they are tools rather than components of the data. Inferential statistics are analytical methods, not the data itself. Therefore, the best answer is that big data includes both structured and unstructured data.
NEW QUESTION # 65
A store owner wants to know the average sales for each day of the week. Which is this store owner looking for?
Answer: C
Explanation:
The term "average" in this context refers to the mean, which is the most common measure of central tendency for numerical data. To calculate the mean daily sales, the store owner would add the sales values for the days being studied and divide by the number of days. This provides a single summary value representing the typical sales amount across the week. Variance measures how much the daily sales differ from one another, not the average itself. Distribution describes the overall pattern of the data, such as whether sales are clustered, spread out, or skewed. Median identifies the middle value when observations are ordered from smallest to largest, which can be useful when data are highly skewed, but it is not the standard interpretation of "average" unless specifically stated. Because the question asks directly for the average sales for each day of the week, the most accurate statistical measure is the mean. Thus, the correct answer is mean, which summarizes daily sales using arithmetic average.
NEW QUESTION # 66
Which input could be used to create and evaluate a process that would improve an organization's performance?
Answer: B
Explanation:
Data gathered from a customer survey can be used to create and evaluate a process that improves organizational performance because customer feedback provides direct evidence about satisfaction, service quality, unmet needs, and areas requiring change. In data-driven decision-making, effective process improvement begins with relevant and reliable inputs, and customer survey data are especially valuable because they reflect the experiences of the people receiving the organization's products or services. These data can reveal trends, pain points, expectations, and opportunities for redesign. Suggestions from a competitor may be informative, but they are not as direct or reliable as structured internal evidence gathered from actual stakeholders. Information from an employee handbook outlines policies rather than performance inputs, and industry regulations define compliance boundaries rather than improvement opportunities. Since the question asks which input can help create and evaluate a better-performing process, the most appropriate answer is data gathered from a customer survey.
NEW QUESTION # 67
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