Asked by Izabella Comstock on May 25, 2024
Verified
All of the following are reasons why random sampling is important for statistical applications except ________.
A) the outcomes are more readily understood and therefore really usable
B) solving using mathematics alone may be very difficult if not impossible
C) the outcome variables are complicated functions of several input random variables
D) sampling experiments can be used to better understand important statistics theories
Random Sampling
The process of selecting a subset of individuals from a population in such a way that every individual has an equal chance of being selected.
Statistical Applications
The use of statistical techniques and methodologies to solve real-world problems, analyze data, and make informed decisions.
Random Variables
Variables whose possible values are numerical outcomes of a random phenomenon.
- Contrast subjective sampling methods with probabilistic ones, focusing on their applications.
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Learning Objectives
- Contrast subjective sampling methods with probabilistic ones, focusing on their applications.
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