The following is sample information. Test the hypothesis that the treatment means are equal. Use the 0.02 significance level.
Treatment 1 | Treatment 2 | Treatment 3 |
7 | 2 | 5 |
8 | 3 | 7 |
6 | 5 | 10 |
7 | 3 | 6 |
a. State the null hypothesis and the alternate hypothesis.
H0: (The treatment means are not all the same or The treatment means are the same?)
H1: (The treatment means are not all the same or The treatment means are the same?)
b. What is the decision rule? (Round the final answer to 2 decimal places.)
Reject H0 if the test statistic is greater than __________
c. Compute SST, SSE, and SS total. (Round the final answers to 3 decimal places.)
SST =
SSE =
SS total =
d. Complete the ANOVA table. (Round the SS, MS, and F values to 3 decimal places.)
Source | SS | DF | MS | F |
Treatment | ||||
Error | ||||
Total | ||||
e. State your decision regarding the null hypothesis.
(Do not reject or Reject?) H0.
Using Excel<data<data analysis< one-way ANOVA test
a)
H0: Null hypothesis: The treatment means are the same
H1: Alternate hypothesis: The treatment means are not all the same
b) Reject H0 if the test statistic is greater than 6.23.
c)
SST | 37.500 |
SSE | 20.750 |
SS Total | 58.250 |
d)
ANOVA table | ||||
Source | SS | df | MS | F |
Treatment | 37.500 | 2 | 18.750 | 8.133 |
Error | 20.750 | 9 | 2.306 | |
Total | 58.250 | 11 |
e) Reject H0 [Because p-value less than alpha]
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