The following data were obtained for a randomized block design involving five treatments and three blocks: SST = 510, SSTR = 370, SSBL = 95. Set up the ANOVA table. (Round your value for F to two decimal places, and your p-value to three decimal places.)
Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F | p-value |
---|---|---|---|---|---|
Treatments | |||||
Blocks | |||||
Error | |||||
Total |
Test for any significant differences. Use α = 0.05.
State the null and alternative hypotheses.
H0: Not all the population means are
equal.
Ha: μ1 =
μ2 = μ3 =
μ4 =
μ5H0:
μ1 = μ2 =
μ3 = μ4 =
μ5
Ha: μ1 ≠
μ2 ≠ μ3 ≠
μ4 ≠
μ5 H0:
At least two of the population means are equal.
Ha: At least two of the population means are
different.H0: μ1 ≠
μ2 ≠ μ3 ≠
μ4 ≠ μ5
Ha: μ1 =
μ2 = μ3 =
μ4 =
μ5H0:
μ1 = μ2 =
μ3 = μ4 =
μ5
Ha: Not all the population means are equal.
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
State your conclusion.
Do not reject H0. There is sufficient evidence to conclude that the means of the treatments are not all equal.
Reject H0. There is not sufficient evidence to conclude that the means of the treatments are not all equal.
Do not reject H0. There is not sufficient evidence to conclude that the means of the treatments are not all equal.
Reject H0. There is sufficient evidence to conclude that the means of the treatments are not all equal.
Solution;-
Source of Variation |
Sum of squares |
Degree of Freedom |
Mean Square |
F | p-value |
Treatments | 370 | 4 | 92.5 | 16.444 | 0.001 |
Blocks | 95 | 2 | 47.5 | 8.4444 | 0.011 |
Error | 45 | 8 | 5.625 | ||
Total | 510 | 14 |
State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.
Ha: μ1 =
μ2 = μ3 =
μ4 = μ5
Ha: At least two of the population means are
different.
Formulate an analysis plan. For this analysis, the significance level is 0.05.
Analyze sample data.
F statistics is given by:-
F = 16.444
The P-value = 0.001
Interpret results. Since the P-value (0.001) is less than the significance level (0.05), we have to reject the null hypothesis.
Conclusion:-
Reject H0. There is sufficient evidence to conclude that the means of the treatments are not all equal.
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