This preview shows page 1. Sign up to view the full content.
Unformatted text preview: called the pvalue of the test. A result
with a small pvalue is called statistically significant. This means that chance alone would rarely
produce so extreme a result. We say that a value is statistically significant when the pvalue is as small
as, or smaller than, the given significance level, α . If we are not given α , we can interpret the results
like this:
• If the pvalue is less than 1%, we say that there is overwhelming evidence to infer that the
alternative hypothesis is true. (We also say that the test is highly significant)
• If the pvalue is between 1% and 5%, we say that there is strong evidence to infer that the
alternative hypothesis is true. (We also say that the test is significant)
• If the pvalue is between 5% and 10%, we say that there is weak evidence to infer that the
alternative hypothesis is true. (We also say that the test not statistically significant)
• If the pvalue is exceeds 10%, we say that there is no evidence to infer that the alternative
hypothesis is true.
When performin...
View
Full
Document
This document was uploaded on 02/26/2014 for the course MATH 2311 at University of Houston.
 Spring '08
 HAFEEZ

Click to edit the document details