Asked by Deanna Chernioglo on Jul 29, 2024

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Which statement would be inappropriate to use when interpreting the significance level of a variable?

A) The difference was found to be significant at the p < .001 level.
B) The difference was found to be significant at the p < .001 level, making it highly significant.
C) The difference was found to not be significant with a p value of p > .05.
D) The difference was found to be significant at the p <.05 level.

Significance Level

The significance level, often denoted by alpha (α), is the threshold chosen by the researcher to determine the statistical significance of an outcome; it's the probability of rejecting the null hypothesis when it is true.

Highly Significant

A term used in statistical analysis to denote results that vastly exceed the threshold for statistical significance, often suggesting a strong effect or association.

p < .001

p < .001 indicates that the probability of the observed data, or something more extreme, assuming the null hypothesis is true, is less than 0.1%, which is considered highly statistically significant.

  • Understand the idea of statistical significance and how to interpret it correctly.
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JS
Jasmir Saint LouisJul 29, 2024
Final Answer :
B
Explanation :
Using the term "highly significant" is inappropriate when interpreting the significance level of a variable because it is a subjective term that has no quantitative meaning in statistics. It is more appropriate to simply state the actual p-value or significance level.