A result with a small p value is called statistically

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Unformatted text preview: called the p-value of the test. A result with a small p-value 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 p-value 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 p-value 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 p-value 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 p-value 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 p-value is exceeds 10%, we say that there is no evidence to infer that the alternative hypothesis is true. When performin...
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This document was uploaded on 02/26/2014 for the course MATH 2311 at University of Houston.

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