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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.
2(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.
p = 1 - 0.15 = 0.85 > 0.05; the test is statistically significant.

User Roshith
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2 Answers

4 votes

Answer:

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.

Step-by-step explanation:

Got this right on the segment exam. Good luck, my FLVS fellows!

User Clinton Roy
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2 votes

Answer:

15%

Step-by-step explanation:

User Christian Moser
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