What p-value indicates that there is a statistical significance .0035, .2351, .7952, or .9236
Added by Marisa J.
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Step 1: Understand that a p-value indicates the probability of obtaining the observed results, or more extreme, assuming the null hypothesis is true. Show more…
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P-Value Significance Level 1.413E-21 0.05 significant or not significant 0.18158435 0.03456595 0.05 0.05
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In a significance test, you calculate a P-value of 0.0358. A correct interpretation of this P-value would be: About 3.6% of the data is significant. About 3.6% of all the samples are significant. About 3.6% of all samples would produce a test statistic at least as extreme as ours if the null hypothesis is true. There is sufficient evidence to reject the null hypothesis. There is not sufficient evidence to reject the null hypothesis.
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