Asked by Deanna Chernioglo on Jul 29, 2024
Verified
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.
Verified Answer
Learning Objectives
- Understand the idea of statistical significance and how to interpret it correctly.
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