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A student researcher writes the following sentence in their lab report discussion section: 'Because our study yielded a pp value of .04, there is a 4% probability that the null hypothesis is true.' Explain why this statement is incorrect and rewrite the interpretation correctly based on the true definition of a pp value.

Question: A student researcher writes the following sentence in their lab report discussion section: 'Because our study yielded a pp value of .04, there is a 4% probability that the null hypothesis is true.' Explain why this statement is incorrect and rewrite the interpretation correctly based on the true definition of a pp value.

Sample answer: The student's statement is the most common misinterpretation of the pp value. A pp value of .04 does not mean there is a 4% probability that the null hypothesis is true. Instead, it calculates the probability of obtaining the specific sample data assuming the null hypothesis is already true. A corrected rewrite would be: 'Assuming the null hypothesis is true, there is a 4% probability of obtaining our specific sample data.'

Key points:

  • Identifies the flawed claim that pp represents the probability of the null hypothesis being true.
  • Explains that a pp value actually assumes the null hypothesis is true from the start.
  • Provides a rewritten sentence stating that pp is the probability of obtaining the specific sample data.

Rubric: Full credit is awarded if the student identifies the error as interpreting the pp value as the probability of the null hypothesis being true, explains that the pp value assumes the null hypothesis is true to calculate the probability of the sample data, and provides an accurate rewritten sentence.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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