Asked by Mariya&Eliza George on Jul 13, 2024

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Why is the term "highly significant" inappropriate to use when interpreting the probability?

A) because statistical significance is a dichotomy
B) because statistical significance is on a continuum
C) because p < .001 is less significant than p < .01
D) because p < .001 is 'better' than p < .01

Highly Significant

A statistical term indicating that the results observed are very unlikely to have occurred by chance alone, often used for results with very low p-values.

Statistical Significance

Indicates that the probability of the observed results occurring under the null hypothesis is low, suggesting the results are not due to random chance.

Probability

A measure of the chance or likelihood that a certain event will occur, often quantified as a fraction or percentage.

  • Comprehend the concept of statistical significance and its proper interpretation.
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LM
Lucas MarianiJul 17, 2024
Final Answer :
A
Explanation :
Statistical significance is a dichotomy; it either exists or it does not. The term "highly significant" suggests a degree of significance that does not accurately reflect the binary nature of statistical significance.