An educator wants to evaluate four different methods aimed at reducing the time children spend "off task" in the classroom. To test these methods, she implements one method in each of four similar classrooms and records the time spent off task (in minutes) in each classroom. The results are given in the table.
Classroom Method | |||
---|---|---|---|
A | B | C | D |
2 | 4 | 3 | 3 |
1 | 3 | 6 | 2 |
3 | 2 | 5 | 5 |
6 | 0 | 5 | 4 |
4 | 0 | 0 | 3 |
1 | 5 | 4 | 3 |
2 | 1 | 0 | 2 |
4 | 4 | 4 | 4 |
0 | 2 | 3 | 0 |
(a) Complete the F-table. (Round your answers to two decimal places.)
Source of Variation |
SS | df | MS | F |
---|---|---|---|---|
Between groups |
||||
Within groups (error) |
||||
Total |
(b) Is it necessary to compute a post hoc test? Explain. (Assume
alpha equal to 0.05.)
Yes, post hoc analyses are appropriate because the ANOVA is significant.
No, post hoc analyses are not appropriate because the ANOVA is not significant.
You may need to use the appropriate table in Appendix C to answer
this question.
https://www.webassign.net/priviterastats3/priviterastats3_appendix_c.pdf
Answer:
Given Data
(a)The solution of the given problem is
Null hypothesis All means are equal
Alternative hypothesis At least one mean is different
Significance level α = 0.05
Equal variances were assumed for the analysis.
Summary of Data | ||||||
Treatments | ||||||
1 | 2 | 3 | 4 | 5 | Total | |
N | 9 | 9 | 9 | 9 | 36 | |
∑X | 23 | 21 | 30 | 26 | 100 | |
Mean | 2.5556 | 2.3333 | 3.3333 | 2.8889 | 2.778 | |
∑X2 | 87 | 75 | 136 | 92 | 390 | |
Std.Dev. | 1.8782 | 1.8028 | 2.1213 | 1.453 |
Factor Information
Factor Levels Values
Factor 4 A, B, C, D
Analysis of Variance
Source | SS | df | MS |
Between treatments | 5.1111 | 3 | 1.7037 |
Within treatments | 107.1111 | 32 | 3.3472 |
Total | 112.2222 | 35 |
F-Value = 0.50899
(B)
No, post hoc analyses are not appropriate because the ANOVA is not significant.
Please upvote if you like the solution
Get Answers For Free
Most questions answered within 1 hours.