Consider the following table: SS DF MS F Among Treatments 2567.67 855.89 1.42 Error ? Total 8575.97 13
Step 1 of 8: Calculate the sum of squares of experimental error. Please round your answer to two decimal places.
Step 2 of 8: Calculate the degrees of freedom among treatments.
Step 3 of 8:Calculate the degrees of freedom of experimental error.
Step 4 of 8: Calculate the mean square of the experimental error. Please round your answer to two decimal places.
Step 5 of 8: What is the sum of squares of sample means about the grand mean? Please round your answer to two decimal places.
Step 6 of 8: What is the variation of the individual measurements about their respective means? Please round your answer to two decimal places.
Step 7 of 8: What is the critical value of F at the 0.05 level? Please round your answer to four decimal places, if necessary.
Step 8 of 8: Is F significant at 0.05 ?
AnoVA Table
Source | SS | df | MSS | F |
Among Treatment | 2567.67 | 2567.67/855.89 = 3 | 855.89 | 1.42 |
Error | 8575.97-2567.67 =6008.3 | 13-3 =10 | 6008.3/10 = 600.83 | |
Total | 8575.97 | 13 |
Step 1:
SSE = TSS- SSTr =8575.97 - 2567.67 = 6008.3
Step 2: Degrees of Freedom Among treatments
SSTr/MSS = 2567.67/855.89 = 3
Step 3: Degrees of Freedom of experimental error
df(Error) = df(total)-df(among treatment) = 13-3 = 10
Step 4: The mean square of the experimental error
MSE = SSE/df = 6008.3/10 =600.83
Step 5 : The sum of squares of sample means about the grand mean is
SSTr = 2567.67
Step 6: SSE = 6008.3
Step 7: The critical value of F for (3,10) df at 5% significance level is 3.7083
Step 8: Since F calculated is less than F tabulated, Fail to Reject H0.
No F is not significant at 0.05
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