(WGU D467) BUS 2770 Exploring Data - FA Pre Test Guide .(WGU D467) BUS 2770 Exploring Data - FA Pre Test Guide .(WGU D467) BUS 2770 Exploring Data - FA Pre Test Guide .(WGU D467) BUS 2770 Exploring Data - FA Pre Test Guide .
,1. Multiple Choice: What statistical method is best used for
identifying the relationship between supply chain lead time and
customer satisfaction?
a) Regression analysis
b) Mean comparison
c) Time series analysis
d) Probability distribution
Correct Answer: a) Regression analysis
Rationale: Regression analysis is a powerful statistical tool that
helps in understanding and quantifying the relationship between
two or more variables.
2. Fill-in-the-Blank: The ________ is a measure of central
tendency that is most appropriate when dealing with skewed data
distributions in supply chain datasets.
Correct Answer: Median
Rationale: The median is less affected by outliers and skewed
data than the mean, making it a more appropriate measure of
central tendency for skewed distributions.
3. True/False: In operations management, the bullwhip effect
refers to the fluctuation in orders that are greater than the changes
in actual customer demand.
, Correct Answer: True
Rationale: The bullwhip effect is a well-documented
phenomenon in supply chain management where small changes in
consumer demand cause larger variations in orders placed
upstream.
4. Multiple Response: Which of the following are benefits of using
data visualization in supply chain management? (Select all that
apply)
a) Improved decision-making
b) Increased operational efficiency
c) Enhanced customer satisfaction
d) Reduced transportation costs
Correct Answers: a) Improved decision-making, b) Increased
operational efficiency, c) Enhanced customer satisfaction
Rationale: Data visualization aids in better understanding
complex data, which can lead to improved decision-making,
increased efficiency, and enhanced customer satisfaction.
5. Multiple Choice: Which forecasting model would be most
appropriate for demand prediction in a stable supply chain
environment?
a) Moving average
b) Exponential smoothing
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