Waiting for answer This question has not been answered yet. You can hire a professional tutor to get the answer.
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:
1. Advanced Primary Reading Program
2. Open Court Reading Curriculum
3. DISTAR
This is called a 2 Way 3x3 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?