Asked by Izabella Comstock on May 25, 2024

verifed

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.
verifed

Verified Answer

AA
Andres AltamiranoMay 29, 2024
Final Answer :
A
Explanation :
Random sampling is important for statistical applications because it allows for generalization of results to a larger population and reduces bias in the sample. The other options are all valid reasons for the importance of random sampling.