# Alicia decides to conduct a study with 3-levels of Aptitude (IQ) groups ( Low Avg. 85, Avg. 90-110, Superior 125) with 3-levels of treatment:…

Alicia decides to conduct a study with 3-levels of Aptitude (IQ) groups ( Low Avg. 85, Avg. 90-110, Superior 125) with 3-levels of treatment:….

Alicia decides to conduct a study with 3-levels of Aptitude (IQ) groups ( Low Avg. <85, Avg. 90-110, Superior >125) with 3-levels of treatment:

3.    DISTAR

This is called a 2 Way 3×3 ANOVA design

Hypothesis:

The statistically significant results are: (p value, ETA2)

-Aptitude 0.0001,77%

-Treatment 0.045,5%

-Apt x Trt 0.17,13%

The interaction effect we discussed in class happened when aptitude 2 and aptitude 1 overlapped on the graph. It shows that the students with the highest aptitude do the best given a post hoc significant t-test with middle and low aptitude groups. Also, it shows that the low aptitude group appears to benefit from the first treatment best.

What are the null and alternative hypotheses?

Alicia decides to conduct a study with 3-levels of Aptitude (IQ) groups ( Low Avg. 85, Avg. 90-110, Superior 125) with 3-levels of treatment:…