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2) The test is NOT very effective unless the sample size is large, say, at least 80 or 100. 3) The test tends to be TOO sensitive if the sample size is really large. The idea of the chi-square test for independence is to. compare the actual counts in a contingency table …
https://quizlet.com/52591854/gch-601-chapter-9-flash-cards/
What does a small p value tell us. (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis. What does a large p value tell us. (> 0.05) indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.
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Question 5 of 20 1.0/ 1.0 Points Smaller p-values indicate more evidence in support of the: A.alternative hypothesis B.null hypothesis C.the reduction of variance D.quality of the researcher Answer Key: A Question 6 of 20 1.0/ 1.0 Points The alternative hypothesis is also known as the: Answer Key: C Question 7 of 20 1.0/ 1.0 Points A lab technician is tested for her consistency by taking ...
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See the answer. Smaller p-values indicate more evidence in support of the: A.quality of the researcher B.alternative hypothesis C.the reduction of variance D.null hypothesis.
https://www.schoolsolver.com/question/899729615-smaller-p-values-indicate-more-evidence-in-support-of-the/
Jan 23, 2015 · Smaller p-values indicate more evidence in support of the: A.quality of the researcher. B.alternative hypothesis. C.the reduction of variance. D.null hypothesis.Category: Mathematics
http://www.pmean.com/definitions/pvalue.htm
The smaller the p-value, the more evidence we have against H0. It is also a measure of how likely we are to get a certain sample result or a result “more extreme,” assuming H0 is true. The type of hypothesis (right tailed, left tailed or two tailed) will determine what “more extreme” means.
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Question: Smaller P-values Indicate More Evidence In Support Of The: A. Alternative Hypothesis B. Quality Of The Researcher C. Null Hypothesis D. The Reduction Of Variance The Reduction Of Variance This problem has been solved!
https://www.coursehero.com/file/10739256/Fall-2014-Math-302-Quiz-4/
A.Yes, because the test value 1.257 is less than the critical value 2.179 B.No, because the test value 1.257 is greater than the critical value 1.115 C.No, because the p-value for this test is equal to .1164 D.Yes, because the test value 1.257 is less than the critical value 1.782 Answer Key: C Question 2 of 20 1.0/ 1.0 Points Smaller p-values indicate more evidence in support of the:Author: Bledo
https://answers.yahoo.com/question/index?qid=20120911143745AAdNbzm
Sep 11, 2012 · The correct answer is C because its the smallest. The smaller the p-value, the stronger the evidence is in favor of the alternative hypothesis.
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