On a certain portion of an experiment, a statistical test result yielded a p-value of 0.15. What can you conclude? If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 15% of the time, so the test is not statistically significant. O2(0.15) = 0.30 < 0.5; the test is not statistically significant. 0.15 0.05; the test is statistically significant. If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 85% of the time, so the test is not statistically significant. Op 1 0.15 0.85 > 0.05; the test is statistically significant.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.CR: Chapter 13 Review
Problem 8CR
Question
On a certain portion of an experiment, a statistical test result yielded a p-value of 0.15. What can you conclude?
If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 15% of the time, so the test is not statistically significant.
O2(0.15) = 0.30 < 0.5; the test is not statistically significant.
0.15 0.05; the test is statistically significant.
If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 85% of the time, so the test is not statistically significant.
Op 1 0.15 0.85 > 0.05; the test is statistically significant.
Transcribed Image Text:On a certain portion of an experiment, a statistical test result yielded a p-value of 0.15. What can you conclude? If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 15% of the time, so the test is not statistically significant. O2(0.15) = 0.30 < 0.5; the test is not statistically significant. 0.15 0.05; the test is statistically significant. If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 85% of the time, so the test is not statistically significant. Op 1 0.15 0.85 > 0.05; the test is statistically significant.
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