Question

A partially completed ANOVA table for a completely randomized design is shown here: Source df SS...

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.

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Answer #1

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

Marginal Error = tait (d.) 2MSw / n = 1.6895 2(0.8286) / 6 = 0.88795 The 95% confidence interval among the means are (n--)±ME-(3.7-4.1)±0.88795-(-12879503, 0.4879503) There is no significant difference between means of μ and

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