A partially completed ANOVA table for a completely randomized design is shown here:
Source |
df |
SS |
MS |
F |
Treatments |
6 |
17.5 |
2.9167 |
3.52 |
Error |
35 |
29.0 |
.8286 |
|
Total |
41 |
46.5 |
3.7453 |
Complete the ANOVA table.
How many treatments are involved in the experiment? Do the data provide sufficient evidence to indicate a difference among the population means? Test using α = .10. Find the approximate observed significance level for the test in part c, and interpret it. Suppose that x ̅_1=3.7 and x ̅_2=4.1. Do the data provide sufficient evidence to indicate a difference between µ1 and µ2? Assume that there are six observations for each treatment. Test using α = .10 Refer to part b. Find a 90% confidence interval for (µ1 – µ2). Refer to part b. Find a 90% confidence interval for µ1.
There are 7 treatments are involved in the experiment.
P-value = 0.0078 < alpha 0.10 so we reject H0
F-value = 1.9496 > F-Critical value = 2.3718 so we reject H0
Thus we conclude that there is significance difference among the means of 7 treatments
A partially completed ANOVA table for a completely randomized design is shown here: Source df SS...
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