Exam Data-Driven-Decision-Making Cram Questions | Data-Driven-Decision-Making Paper

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

Section	Weight	Objectives
Foundations of Data-Driven Decision Making	20%	- Role of data in business decisions - Ethics, privacy, and data governance - Types of analytics: descriptive, predictive, prescriptive
Statistical Concepts & Descriptive Analytics	25%	- Measures of central tendency, dispersion, distribution - Data visualization: charts, graphs, dashboards - Data types, measurement scales, sampling methods
Predictive Analytics & Regression	20%	- Forecasting & trend analysis - Simple & multiple linear regression - Interpreting coefficients, R-squared, significance
Probability & Statistical Inference	20%	- Probability rules, distributions, expected value - Hypothesis testing, p-values, confidence intervals - Correlation vs. causation
Decision Models & Prescriptive Analytics	15%	- Quality & process improvement tools - Decision trees, payoff matrices, expected value - Optimization, sensitivity analysis

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Exam Data-Driven-Decision-Making Cram Questions - WGU Data-Driven-Decision-Making Paper: VPC2Data-Driven Decision MakingC207 Pass for Sure

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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q53-Q58):

NEW QUESTION # 53
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?

A. 67%
B. 25%
C. 75%
D. 33%

Answer: C

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 # 54
What is the formula for calculating a simple index number?

A. The base year's price divided by the current price
B. The current price divided by the base year's price times 100
C. The base year's price divided by the current price times 100
D. The current price divided by the base year's price

Answer: B

Explanation:
Asimple index numberis used in data-driven decision making to measure relative change in a variable over time, commonly prices, quantities, or values. The standard formula for a simple price index compares the value in the current period to a base period and expresses the change as a percentage.
The correct formula is thecurrent price divided by the base year's price, multiplied by 100. This standardization allows analysts and managers to easily interpret changes relative to a reference point. An index value of 100 indicates no change from the base year, values above 100 indicate an increase, and values below 100 indicate a decrease.
This approach is widely used in economic analysis, inflation tracking, and business trend evaluation because it simplifies comparisons across time. Dividing the base year by the current price would reverse interpretation, and omitting multiplication by 100 would fail to express the index in percentage terms.
Therefore, optionAcorrectly represents the formula for calculating a simple index number.

NEW QUESTION # 55
Research data indicate 95% confidence in a study in which subjects who were shown a product advertisement exhibited brand awareness compared to a control group who did not see the advertisement.
What can be concluded from this study?

A. Ninety-five percent of the subjects liked the brand.
B. Five percent of the subjects did not like the advertisement.
C. The advertisement was effective in increasing sales.
D. The advertisement was effective in building brand awareness.

Answer: D

NEW QUESTION # 56
A store owner wants to know the average sales for each day of the week. Which is this store owner looking for?

A. Variance
B. Distribution
C. Median
D. Mean

Answer: D

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 # 57
An analyst used multiple linear regression to show how a big box store's sales (y) are predicted by the big box store's advertising expenditure in dollars (variable x1) and the advertising expenditure in dollars of a specialty store (variable x2) in the same market. The estimated regression is y = 651.57 + 92.30x1 # 26.89x2. How are advertising expenditures and sales related in this scenario?

A. If the big box store decreases its advertising expenditures, its sales will increase.
B. If the specialty store increases its advertising expenditures, it will decrease the big box store's sales.
C. If the big box store decreases its advertising expenditures, it will decrease the big box store's sales.
D. If the big box store increases its advertising expenditures, its sales will decrease.

Answer: B

NEW QUESTION # 58
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