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A psychology student runs an analysis on their study's data and obtains a pp value of 0.030.03. Using the common convention of a significance level of 0.050.05 (a result is significant when p≤0.05p \leq 0.05), what conclusion should the student draw about their experimental result, and why?

Question: A psychology student runs an analysis on their study's data and obtains a pp value of 0.030.03. Using the common convention of a significance level of 0.050.05 (a result is significant when p≤0.05p \leq 0.05), what conclusion should the student draw about their experimental result, and why?

Sample answer: The student should conclude that the result is statistically significant at the 0.050.05 level, because the obtained pp value of 0.030.03 is below the stated significance level of 0.050.05. The pp value means that if the null hypothesis and the test's assumptions were true, a result at least as extreme as this one would occur about 3 times in 100. It is not the probability that the result occurred purely by chance or that the null hypothesis is true, and statistical significance alone does not show that the effect is large or important.

Key points:

  • The obtained pp value is 0.030.03; the stated significance level is 0.050.05.
  • Since 0.03≤0.050.03 \leq 0.05, the result is declared statistically significant.
  • The pp value is calculated assuming the null hypothesis and the test's assumptions are true; it is not the probability that the result is due to chance.

Rubric: Full credit requires (1) applying the stated 0.050.05 significance level to the obtained pp value (0.030.03) and concluding that the result is statistically significant, and (2) explaining why without misdescribing the pp value. An answer that calls the pp value the probability that the result occurred by chance, or the probability that the null hypothesis is true, should not receive full credit.

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Updated 2026-10-18

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Research Methods in Psychology - 4th American Edition @ KPU

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