In: Statistics and Probability
Edward wanted to know whether students’ attitudes towards the extra-curricular activities sponsored by EKU differed as a function of class year and gender. So Edward randomly surveyed 12 freshman, 12 sophomores, 12 juniors, and 12 seniors, with each class year sample having equal numbers of male and female participants. Each student was asked to rate their attitude of EKU’s extra-curricular activities on a 1 – 10 scale with 1 being totally negative and 10 being totally positive.
This is a 2-way ANOVA. Write out null and alternative hypotheses, complete the table, and provide English translations of significant or nonsignificant findings in sentence form. Use a 0.05 level of significance (Alpha), nondirectional hypothesis (2-tailed). You do not need to calculate effect size nor Tukey's HSD for this problem.
SS |
df |
MS |
F |
Fcritical |
p-value |
|
Between groups |
26.0 |
|||||
Class Year (A) |
8.0 |
3 |
_____ |
_____ |
_____ |
_____ |
Gender (B) |
5.0 |
1 |
_____ |
_____ |
_____ |
_____ |
A x B |
_____ |
3 |
_____ |
_____ |
_____ |
_____ |
Within groups |
_____ |
40 |
_____ |
|||
Total |
98.2 |
_____ |
(a) Ho: There is no significant difference between the classes
Ha: There is a significant difference between the classes
Ha: There is no significant difference between the genders
Ha: There is a significant difference between the genders
Ho: There is no interaction between class and gender
Ha:There is interaction between class and gender
(b) ANOVA table:
SS | df | MS | F | Fcritical | p-value | |
Between groups | 26 | |||||
Class Year (A) | 8 | 3 | 8/3 = 2.667 | 2.667/1.805 = 1.4776 | 2.8387 | 0.2352 |
Gender (B) | 5 | 1 | 5/1 = 5.000 | 5/1.805 = 2.7701 | 4.0847 | 0.1039 |
A x B | 26 - (8 + 5) = 13 | 3 | 13/3 = 4.333 | 4.333/1.805 = 2.4006 | 2.8387 | 0.0820 |
Within groups | 98.2 - 26 = 72.2 | 40 | 72.2/40 = 1.805 | |||
Total | 98.2 | 47 |
Conclusion:
Since all the three p- values are greater than 0.05, we fail to reject all the three null hypotheses. So,
There is no sufficient evidence of a significant difference between classes. All the classes seem to have the same attitude towards extra-curricular activities.
There is no sufficient evidence of a significant difference between genders. Both males and females seem to have the same attitude towards extra-curricular activities.
There is no sufficient evidence of a significant interaction between class and gender.