Asked by misser focks on Apr 26, 2024

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Which of the following is a reason to retain hypothesis testing?

A) In complex research situations, it may not be possible to do interval estimation.
B) Calculating confidence intervals is too complicated.
C) Researchers cannot agree as to what is the appropriate level of confidence.
D) In simple research situations, confidence intervals would not be reliable.

Hypothesis Testing

A method of statistical inference used to decide whether a hypothesis about a parameter in a population is likely to be true.

Interval Estimation

A scope of values, from collected sample data, that is likely to embody the value of an unexplored population parameter.

  • Examine alternative methods to hypothesis evaluation.
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Lucas VenegasApr 26, 2024
Final Answer :
A
Explanation :
Hypothesis testing is necessary in complex research situations where it may not be possible to do interval estimation. Confidence intervals may not provide enough information or may be difficult to calculate in these scenarios, making hypothesis testing a valuable tool for statistical analysis. The other answer choices are not valid reasons to retain hypothesis testing.