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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q15-Q20):
NEW QUESTION # 15
An entrepreneur wants to start a boutique cupcake business based on family recipes shared for three generations. The entrepreneur knows the required costs associated with rent, supplies, utilities, and hourly wages and wants to determine how many cupcakes they need to sell to generate a profit.
Which technique should be used to analyze this data?
- A. T-test
- B. Break-even analysis
- C. Regression
- D. Crossover analysis
Answer: B
Explanation:
Break-even analysisis the appropriate technique for determining the number of units that must be sold to cover all fixed and variable costs. In data-driven decision making, break-even analysis is widely used for pricing, production, and startup feasibility decisions.
In this scenario, the entrepreneur already knows fixed costs such as rent and utilities, as well as variable costs like supplies and hourly wages. Break-even analysis calculates the point at which total revenue equals total cost, meaning profit is zero. Any sales beyond this point result in profit.
Crossover analysis is not a standard financial technique, t-tests are used to compare means, and regression analysis is used to predict outcomes based on relationships between variables rather than identify cost- revenue thresholds.
By applying break-even analysis, the entrepreneur can determine the minimum number of cupcakes required to sustain the business and make informed operational decisions. Therefore, the correct answer isB.
NEW QUESTION # 16
Which distribution would have a mean and median that are approximately equal after an analysis of each employee's number of customer service calls over the last month?
- A. Bimodal distribution
- B. Normal distribution
- C. Multimodal distribution
- D. Pareto distribution
Answer: B
Explanation:
In anormal distribution, data is symmetrically distributed around the center, causing the mean and median to be approximately equal. This is a fundamental property emphasized in data-driven decision making.
Skewed distributions, such as Pareto, cause the mean and median to differ significantly. Therefore, the correct answer isA.
NEW QUESTION # 17
What results from starting an analysis with flawed data?
Choose 2 answers.
- A. Missing data tend to skew the results of the analysis.
- B. More time is spent managing data than analyzing data.
- C. Data must be put in a table or a chart so that errors can be more easily detected.
- D. Spreadsheets must be used to increase the likelihood of analyzing the flawed data.
Answer: A,B
Explanation:
Starting an analysis with flawed data significantly undermines the effectiveness of data-driven decision making. One major consequence is thatmore time is spent managing data than analyzing data. Analysts must devote substantial effort to cleaning, validating, and correcting errors before meaningful analysis can occur, delaying insights and increasing costs.
Another critical result is thatmissing data tend to skew the results of the analysis. Incomplete data can distort averages, trends, and statistical relationships, leading to biased conclusions and unreliable decisions.
This is especially problematic in predictive and inferential analytics, where assumptions about data completeness are essential.
Using spreadsheets or placing data in charts does not inherently result from flawed data, nor does it resolve data quality issues. While visualization can help identify errors, it is not a direct outcome of starting with flawed data.
Data-driven decision making emphasizes that poor-quality input leads to poor-quality output. Ensuring data accuracy and completeness before analysis is essential for producing valid insights. Therefore, the correct answers areB and D.
NEW QUESTION # 18
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?
- A. Check
- B. Do
- C. Act
- D. Plan
Answer: A
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 # 19
A sample of 1,020 people was asked how many minutes they exercise on a typical day. The data were plotted and determined to beskewed leftwith a mean of 44.75 minutes.
Which boxplot correctly graphs this data?
- A. Option B
- B. Option C
- C. Option A
- D. Option D
Answer: A
NEW QUESTION # 20
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