Asked by Lauren Enloe on Jul 15, 2024
Verified
Which of the following is a reason the phrase "highly significant" is improper to use?
A) The level of significance is a direct function of sample size.
B) Statistical significance is a dichotomy.
C) p < .01 is not necessarily 'better' than a finding at the p < .05 level.
D) all of these
Highly Significant
A statistical term used to describe an outcome when the observed p-value is much lower than the specified level of significance (α), strongly indicating a true effect.
Statistical Significance
A measure of the likelihood that a difference or relationship observed in a study could have occurred by random chance, often denoted by a p-value.
- Gain knowledge about the notion of statistical significance and its accurate interpretation.
Verified Answer
RN
Robbin NicoleJul 18, 2024
Final Answer :
D
Explanation :
All of these reasons contribute to why the phrase "highly significant" is improper to use. The level of significance is dependent on sample size, so using a phrase like "highly significant" is vague and does not accurately describe the level of significance. Additionally, statistical significance is a dichotomy, meaning that something either is or is not statistically significant, so adding additional modifiers like "highly" is unnecessary. Finally, a finding with a p-value less than .01 is not necessarily better than a finding at the p < .05 level, as this ultimately depends on the context and the specific research question being addressed.
Learning Objectives
- Gain knowledge about the notion of statistical significance and its accurate interpretation.
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