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Based on the definition of alpha (α\alpha), explain what setting this criterion to .05.05 means regarding the probability of making a decision error if the training program actually has no effect (i.e., if the null hypothesis is true).

Case context: A psychological researcher is investigating a new cognitive training program's effect on memory. Before starting the study, they set their significance level (alpha, or α\alpha) to .05.05. The null hypothesis for their study is that the training program has no effect on memory.

Question: Based on the definition of alpha (α\alpha), explain what setting this criterion to .05.05 means regarding the probability of making a decision error if the training program actually has no effect (i.e., if the null hypothesis is true).

Sample answer: Setting α\alpha to .05.05 means that if the null hypothesis is true (the program has no effect), there is a 5%5\% chance or less of observing a sample result at least as extreme as the one obtained. If such a result is observed, the researcher will reject the null hypothesis. Consequently, when the null hypothesis is true, the researcher will mistakenly reject it 5%5\% of the time.

Key points:

  • Setting alpha (α\alpha) to .05.05 represents a 5%5\% probability threshold.
  • It means there is a 5%5\% chance or less of observing a result at least as extreme as the sample result when the null hypothesis is true.
  • If the null hypothesis is true, the researcher will mistakenly reject it 5%5\% of the time.

Rubric: The student must demonstrate comprehension by explaining that a .05.05 alpha level means there is a 5%5\% chance of obtaining an extreme sample result when the null hypothesis is true. They must explain that this leads to a 5%5\% probability of mistakenly rejecting the null hypothesis when it is true.

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Updated 2026-05-26

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Research Methods in Psychology - 4th American Edition @ KPU

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