Normally, what is considered a major fallacy of Hypothesis tests?
OPTIONS
- They don’t normally give the right results
- They mislead the practitioners at times
- The results may be statistically significant in cases, but the practical significance need to be known.
- They are too biased on errors
The results may be statistically significant in cases, but the practical significance need to be known.
Explanation:
Often, people use Hypothesis tests and arrive at statistically significant results. At times, statistical significance does not imply practical significance, which is the major shortcoming of these tests. Option c is correct.
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