WGU Data-Driven-Decision-Making Reliable Exam Answers - Data-Driven-Decision-Making Examinations Actual Questions

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WGU Data-Driven-Decision-Making Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Predictive Analytics & Regression20%- Forecasting & trend analysis
- Simple & multiple linear regression
- Interpreting coefficients, R-squared, significance
Topic 2: Decision Models & Prescriptive Analytics15%- Quality & process improvement tools
- Optimization, sensitivity analysis
- Decision trees, payoff matrices, expected value
Topic 3: Statistical Concepts & Descriptive Analytics25%- Data visualization: charts, graphs, dashboards
- Data types, measurement scales, sampling methods
- Measures of central tendency, dispersion, distribution
Topic 4: Probability & Statistical Inference20%- Correlation vs. causation
- Probability rules, distributions, expected value
- Hypothesis testing, p-values, confidence intervals
Topic 5: Foundations of Data-Driven Decision Making20%- Role of data in business decisions
- Types of analytics: descriptive, predictive, prescriptive
- Ethics, privacy, and data governance

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Data-Driven-Decision-Making Examinations Actual Questions, Data-Driven-Decision-Making Valid Exam Camp

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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q81-Q86):

NEW QUESTION # 81
Which two results occur when the null hypothesis is accepted using an F-test?
Choose 2 answers.

Answer: C,D

Explanation:
When the null hypothesis is accepted in anF-test, it indicates that there is no statistically significant difference between group variances or means, depending on the test design. Acceptance occurs when thetest statistic is less than the critical value, meaning the observed variation is within expected limits.
Accepting the null hypothesis implies thatno meaningful differenceexists between the samples. If the test statistic exceeded the critical value, the null hypothesis would be rejected.
Thus, the correct results areA and D.


NEW QUESTION # 82
Which step in the plan-do-check-act cycle is described as analyzing the results of an experiment and deciding whether those results can be improved?

Answer: B

Explanation:
TheCheckphase of the Plan-Do-Check-Act (PDCA) cycle involves evaluating outcomes and analyzing results. In data-driven decision making, this step compares actual performance against expected results to determine whether objectives were met.
During the Check phase, organizations review data, assess variation, and identify opportunities for improvement. Planning defines objectives, Doing implements changes, and Acting standardizes or adjusts processes based on evaluation.
Therefore, the correct answer isA, Check.


NEW QUESTION # 83
Phone calls for a company are routed randomly to one of eight call centers. Six are based in the United States, and two are based in another country. What is the probability that an incoming call will be routed to a U.S.- based call center?

Answer: B

Explanation:
Probability is calculated as the number of favorable outcomes divided by the total number of possible outcomes, assuming each outcome is equally likely. In this case, there are eight call centers total, and six of them are located in the United States. Since calls are routed randomly, each call center has an equal chance of receiving an incoming call. Therefore, the probability that a call is routed to a U.S.-based call center is 6 out of 8. This fraction simplifies to 3 out of 4, which is equal to 0.75 or 75 percent. The answer choices 25 percent and 33 percent are too small because they do not match the proportion of U.S. call centers. The option 67 percent is closer but still incorrect, as 6 divided by 8 is not 0.67. This is a basic probability problem involving equally likely outcomes. Because six of the eight centers are in the United States, the correct probability is 75 percent.


NEW QUESTION # 84
A hot tub company recently calibrated all its machines during an expensive maintenance cycle performed by an outside company. However, defective pumps with small cracks are being made on the production line. The manager reviews the data about the errors and discovers that more errors occur during the night shift than during the day shift.
Which type of activity is this manager performing?

Answer: D

Explanation:
Quality controlinvolves monitoring, measuring, and analyzing production output to identify defects and variations. In data-driven decision making, quality control focuses on detecting problems after or during production rather than preventing them in advance.
In this scenario, the manager reviews defect data and identifies a pattern indicating more errors during the night shift. This analysis is a classic quality control activity, as it involves examining performance data to detect issues in the production process.
Quality assurance focuses on process design and prevention, while service and underlying activities are not standard quality management classifications. Therefore, the correct answer isD, quality control activity.


NEW QUESTION # 85
Why are sample sizes important for ensuring statistical significance?

Answer: A

Explanation:
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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NEW QUESTION # 86
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