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A research team finds a correlation of r=.35r = .35 between study hours and exam grades in their sample. Apply the concept of inferential statistics to explain what this technique will tell the team about their finding in relation to the broader student population.

Question: A research team finds a correlation of r=.35r = .35 between study hours and exam grades in their sample. Apply the concept of inferential statistics to explain what this technique will tell the team about their finding in relation to the broader student population.

Sample answer: Applying inferential statistics will allow the research team to determine whether the correlation of r=.35r = .35 in their sample is statistically significant or if it is likely due to random chance. If significant, they can conclude that the relationship between study hours and exam grades is genuinely true of the broader student population, thereby supporting their theoretical framework.

Key points:

  • Determine if the observed sample correlation (r=.35r = .35) is statistically significant.
  • Assess whether the correlation is likely due to random chance variability.
  • Decide if the relationship applies to the broader student population.
  • Use the result to support, refute, or modify their theory.

Rubric: The response should specify using inferential statistics to test if the correlation coefficient is statistically significant (unlikely to be due to chance) and to generalize this relationship to support or modify the theory in the broader population.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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