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WGU MBA - Data Driven Decision Making

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WGU MBA - Data Driven Decision Making

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An educator collects eighth grade math scores from a local school and used this data to
recommend curriculum changes for grades 8 - 12. What misuse of statistics may the
educator have used in making this recommendation?


Not a representative sample
Conscious Bias
Lack of Blinding
Missing Data


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Not a representative sample




What level of measurement are women's dress sizes (2,4,6, etc.)?

,Nominal
Ordinal
Interval
Ratio


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Interval




An online retailer selling workout apparel has a large increase in sales during December
and declares that their weekly newspaper ad resulted in higher sales. What misuse of
statistics may the retailer have used in making this decision?


Conscious Bias
Missing Data
Association and Causation
Small Sample Size


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Association and Causation




At WGU, students take objective assessments to evaluate a student's knowledge of
predetermined course competencies in relation to a cut score. What type of test is the
objective assessment?


Norm-referenced
Percentile based
Criterion-referenced
Reliability based

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Criterion-referenced




Which quality tool is an organized method for collecting data?


Pareto Chart
Histogram
Flowchart
Check Sheet


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Check Sheet




A manufacturer wants to maximize their factory output while specifically minimizing labor
costs. What type of analytics might they employ to achieve this goal?


Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Diagnostic Analytics


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Prescriptive Analytics

, Ski Boards, Inc. wants to enter the market quickly with a new finish on its ski boards. It has
three choices: refurbish the old equipment, make major modifications or purchase new
equipment. The company has estimated the fixed and variable cost for each option.
Which technique should they use to select the least costly option?


Breakeven
Linear Regression
Linear Programming
Cross Over


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Cross Over




A department store is considering a new credit policy to reduce defaults on payments.
Its records show that 95% of defaults have at least 2 late payments. Also, 3% of all
customers default and 30% of those customers who have not defaulted have a least 2
late payments. What statistical rule should be used to find the probability that a customer
will default given that at least 2 payments were late?


Central Limit Theorem
Multiplication Rule
Bayes Theorem
Combination Rule


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Bayes Theorem

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