Question

A professor computes the mean difference in exam scores before and after a lecture as 9.0±14.5, and this difference was significant. What is the effect size for this result using estimated Cohen's d? d=0.62 (large effect) d=0.62 (medium effect) d=1.61 (medium effect) d=1.61 (large effect)

Name: a professor computes the mean difference in exam scores before and after a lecture as 90145 and this difference was significant what is the effect size for this result using estimated cohens 57969
Uploaded: 2023-05-19T09:38:34-08:00
Duration: 2 min 19 s
Channel: Sri K
Description: a professor computes the mean difference in exam scores before and after a lecture as 90145 and this difference was significant what is the effect size for this result using estimated cohens 57969

          A professor computes the mean difference in exam scores before and after a lecture as 9.0±14.5, and this difference was significant. What is the effect size for this
result using estimated Cohen's d?
d=0.62 (large effect)
d=0.62 (medium effect)
d=1.61 (medium effect)
d=1.61 (large effect)

a professor computes the mean difference in exam scores before and after a lecture as 90145 and this difference was significant what is the effect size for this result using estimated cohens 57969

Added by Dawn B.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Sri K

05/19/2023

Step 1

0 and the standard deviation is 14.5. $$d = \frac{9.0}{14.5} \approx 0.62$$ Cohen's d of 0.62 is considered a large effect. Show more…

Show all steps

Thanks for your feedback!

A professor computes the mean difference in exam scores before and after a lecture as 9.0±14.5, and this difference was significant. What is the effect size for this result using estimated Cohen's d? d=0.62 (large effect) d=0.62 (medium effect) d=1.61 (medium effect) d=1.61 (large effect)