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NEW QUESTION: 1
Stratified mean per unit (MPU) sampling is a statistical technique that may be more efficient than
unstratified MPU because it usually:
A. Increases the variability among items in a stratum by grouping sampling units with similar
characteristics.
B. May be applied to populations where many monetary errors are expected to occur.
C. Yields a weighted sum of the strata standard deviations that is greater than the standard deviation of
the population.
D. Produces an estimate having a desired level of precision with a smaller sample size.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Choice "B" is correct. A stratified sample generally is more efficient than an unstratified sample since the
population is classified in a manner that emphasizes the higher dollar value items. The result is an
estimate having a desired level of precision with a smaller sample size.
Choice "A" is incorrect. Both stratified and unstratified MPU may be used for populations where many
monetary errors are expected to occur.
Choice "C" is incorrect. Stratified sampling reduces the variability among items in a stratum.
Choice "D" is incorrect. Standard deviations measure variability, and stratification would tend to reduce the
strata standard deviations as compared to the overall standard deviation of the population.

NEW QUESTION: 2
How can you improve the quality of your information model design?
A. Modularize your views.
B. Use 'case' or 'if' statements whenever possible.
C. Use row-based database expressions.
D. Avoid duplications in your modeling.
E. Design your views to be reusable.
Answer: A,D,E

NEW QUESTION: 3
Real-Time Reporting and Monitoring
Which capabilities support In-App extensibility for analytics? Note: There are 2 correct answers to this question.
A. Out-of-the-box APIs for reporting
B. Option to extend standard forms
C. Core Data Services (CDS) views to implement data sources
D. SAP Fiori apps to guide the user when building reports
Answer: B,C