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| Section | Objectives |
|---|---|
| Probability and Statistical Inference | - Sampling methods and sampling error - Probability concepts and distributions |
| Hypothesis Testing | - Null and alternative hypotheses - t-tests, chi-square tests, and significance testing |
| Regression and Correlation Analysis | - Linear regression modeling - Interpreting correlation and causation |
| Data Fundamentals and Business Analytics | - Descriptive statistics (mean, median, variance, standard deviation) - Data types and data collection methods |
| Decision Making Models | - Risk and uncertainty in decision-making - Decision trees and expected value analysis |
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Achieving the WGU Data-Driven-Decision-Making certificate is an excellent way of paying your way in the tech field. However, to become WGU Data-Driven-Decision-Making certified, you will have to crack the WGU Data-Driven-Decision-Making exam. This is a challenging task since preparation for the WGU Data-Driven-Decision-Making Exam demands an inside-out understanding of Data-Driven-Decision-Making domains and many WGU Data-Driven-Decision-Making test applicants do not have enough time due to their busy routines.
NEW QUESTION # 104
A car dealership sells both new and used cars. The number of new cars sold on a given day ranges from 5 to
30 while the number of used cars sold ranges from 5 to 40. The number of used cars sold is mutually exclusive to the number of new cars sold.
Which statistic would be used to compare the number of new and used car sales on any given day?
Answer: C
Explanation:
Thechi-square statisticis used to compare frequencies of categorical, mutually exclusive outcomes. In data- driven decision making, it is appropriate for analyzing differences between observed counts.
New and used car sales represent mutually exclusive categories, making chi-square the correct choice.
Therefore, the correct answer isB.
NEW QUESTION # 105
A healthcare organization implements a campaign to improve patient satisfaction during recent stays. The average patient satisfaction before the campaign is M = 4.20, SD = 3.0. Six months after the new campaign, the average patient satisfaction is M = 1.5, SD = 2.0.
Which action should the hospital management team take?
Answer: B
Explanation:
Data-driven decision making requires comparing outcomes before and after an intervention to assess effectiveness. In this scenario, the mean patient satisfaction scoredeclined from 4.20 to 1.5following implementation of the campaign, indicating a substantial decrease in satisfaction.
Despite the reduced standard deviation, the large drop in the mean suggests the campaign did not achieve its intended goal and may have negatively affected patient experience. Continuing or modifying the campaign is not justified without evidence of initial improvement or external factors explaining the decline.
Management decisions must be grounded in outcome data rather than assumptions or unrelated metrics such as patient volume. Ethical and effective use of statistics requires discontinuing interventions that demonstrably worsen outcomes.
Therefore, the correct action is todiscontinue the campaign, making optionAthe correct answer.
NEW QUESTION # 106
A company runs a regression analysis to identify the impact of volume on demand, which can be shown as an equation y = 50x + 10. Which volume is needed to produce a demand of 10,510?
Answer: A
Explanation:
To solve this regression problem, substitute the given demand value into the equation and solve for x. The equation is y = 50x + 10, and the desired demand is 10,510. Replacing y with 10,510 gives 10,510 = 50x + 10.
Subtracting 10 from both sides gives 10,500 = 50x. Dividing both sides by 50 gives x = 210. This means a volume of 210 is required to produce a demand of 10,510 under the linear relationship described by the equation. Regression equations are often used in forecasting and planning because they allow analysts to estimate one value from another. In this case, the independent variable is volume and the dependent variable is demand. The correct value must satisfy the equation exactly, and only 210 does so. The other options do not produce the required result when substituted into the equation. Therefore, the correct answer is 210.
NEW QUESTION # 107
A firm seeks to sharply reduce sales lead times to enhance sales effectiveness and productivity. Which action should the firm take to accomplish this?
Answer: D
Explanation:
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.
NEW QUESTION # 108
How should a marketing consulting firm perform a cluster analysis for a new granola bar?
Answer: C
Explanation:
Cluster analysisis an unsupervised learning technique used to group observations based on similarity. In data- driven decision making, it is commonly used formarket segmentation, allowing firms to identify distinct customer groups with similar preferences or behaviors.
For a new granola bar, cluster analysis helps determine which consumer segments exist, such as health- conscious buyers, convenience-focused consumers, or price-sensitive shoppers. This enables targeted marketing strategies and product positioning.
Understanding reasons for purchase requires survey or causal analysis, not clustering. Competitor benchmarking and trend analysis involve different analytical techniques.
Therefore, the correct answer isB, determining different segments or groups to target.
NEW QUESTION # 109
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