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What Statistical Significance Means 1What Statistical Significance Means Six L. Chow UNIVERSITY OF REGINAABSTRACT. Son (1998) presents a good argument that neither statistical significance nor effect
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To fill out statistical significance greater than, follow these steps:
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Determine the null and alternative hypotheses for your study.
03
Choose an appropriate significance level, usually denoted by alpha.
04
Conduct the statistical test to calculate the test statistic.
05
Compare the calculated test statistic with the critical value.
06
If the calculated test statistic exceeds the critical value, reject the null hypothesis.
07
Calculate the p-value associated with the test statistic.
08
If the p-value is less than the chosen significance level, reject the null hypothesis.
09
Interpret the results and draw conclusions based on the statistical significance obtained.

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Statistical significance greater than is needed by researchers and scientists who aim to make inferences about a population based on a sample.
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Statistical significance greater than a specified level indicates that the results are unlikely to have occurred by chance.
Researchers, analysts, and scientists conducting experiments and studies are typically required to report statistical significance.
Statistical significance can be filled out by calculating p-values and comparing them to a predetermined significance level.
The purpose is to determine if there is a true relationship or difference between variables in a study or experiment.
The p-value, significance level, test statistic, and conclusion based on the results.
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