P value not significant
[DOC File]AP Statistics - Math For Life
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The P-value of a test of significance is the probability that: ... The result of your test was not significant. You have drawn a correct conclusion. All of the above are true. A coffee-dispensing machine is supposed to deliver 8 ounces of liquid into each paper cup, but a consumer believes that the actual amount is less. As a test he plans to ...
[DOC File]CHAPTER 1
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A large p-value means that there is a good chance that the relationship is statistically significant. If the two variables are not related in the population, then less than 5% of the samples you could ever take would give you a test statistic of 3.84 or larger.
[DOC File]Mind On Statistics Test Bank - Department of Mathematics ...
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Not statistically significant because p alpha. Statistically significant because p alpha. Practically significant because p alpha. Not practically significant because p alpha. The designated level (typically set at .05) for which the p-value is compared to decide whether the alternative hypothesis is accepted (or not…
[DOCX File]JustAnswer
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The significance/not significance of the F value can be decided by comparing the P-value we get by the rejection P -value. 1) Looking at the F tables, we have P (3, 16, 4.86) =0.01369. Therefore, the computed value of F is significant at p
[DOC File]Chapter 11- Testing A Claim
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It means there is not enough evidence against the null hypothesis, Ho,. There is no reason not to believe the null hypothesis. 7. How small should the p-value be in order to claim that a result is statistically significant? The p-value needs to be as small as or smaller than the alpha, α, level. The alpha level depends on our significance ...
[DOCX File]www.math.arizona.edu
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P-value. in a . test of significance. is convincing evidence against the . null hypothesis. Beware of placing too much weight on traditional . significance levels. such as . α = 0.05. Very small effects can be highly significant (small . P) when a test is based on a large . sample. A statistically significant effect need not …
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