Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F |
Between Treatments |
64 |
8 |
||
Within Treatments |
2 |
|||
Error |
||||
Total |
100 |
If at 95% confidence we want to determine whether or not the means
of the populations are equal, the p-value is
greater than 0.1 |
||
between 0.05 to 0.1 |
||
between 0.025 to 0.05 |
||
less than 0.01 |
from above"
Source | SS | df | MS | F | p vlaue |
between | 64.00 | 4 | 16.00 | 8.00 | 0.0007 |
within | 36.00 | 18 | 2.00 | ||
total | 100.00 | 22 |
p value is less than 0.01
Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 64 8...
Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 180 3 Within Treatments (Error) TOTAL 480 18 If at 95% confidence, we want to determine whether or not the means of the populations are equal, the p-value is between 0.01 to 0.025 between 0.025 to 0.05 between 0.05 to 0.1 greater than 0.1
Part of an ANOVA table is shown below. Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 64 8 Within Treatments (Error) 2 Total 100 The number of degrees of freedom corresponding to between-treatments is a. 3. b. 4. c. 2. d. 18.
q4 Source Of Variation Treatments Sum Degrees Of Freedom Mean Of Squares Square Error 28,67 Total 946 c) If it is necessary, determine subgroups by applying a post-hoc comparison, according to your decision in part b). Q-4 (25 points): A sample of 1545 men and an independent sample of 1691 women were used to compare amount of housework done by women and men dual-earner marriages. The study showed that 67,5% of the men felt the division of housework was fair...
Part of an ANOVA table is shown below. Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 180 3 Within Treatments (Error) TOTAL 480 18 The mean square due to error (MSE) is a. 60. b. 15. c. 20. d. 18.
#11 At a 5% level of significance, if we want to determine whether or not the means of the populations are equal, the conclusion of the test is that: a. all means are equal. b. some means may be equal. c. not all means are equal. d. some means will never be equal. #12 If we want to determine whether or not the means of the populations are equal, the p-value is a. greater than .1. b. between .05 to...
#11) At a 5% level of significance, if we want to determine whether or not the means of the populations are equal, the conclusion of the test is that a. all means are equal. b. some means may be equal. c. not all means are equal. d. some means will never be equal. #12 If we want to determine whether or not the means of the populations are equal, the p-value is a. greater than .1. b. between .05 to...
Exhibit 13-5 Part of an ANOVA table is shown below. Source of Variation Sum of Squares Degrees of Freedom F Mean Square 180 3 Between treatments Within treatments (Error) Total 480 18 Refer to Exhibit 13-5. The mean square between treatments (MSTR) is a. 300 b. 60 O c. 15 O d. 20
Mean Square (Variance) Degrees of Sum of Source Freedom Squares Consider an experiment with nine groups, with eight values in each. For the ANOVA summary table shown to the right, fill in all the missing results. Among FSTAT ? MSA 22 SSA ? c-1 ? groups Within MSW ? SSW 693 n c groups Total SST ? n-1 2 Complete the ANOVA summary table below. Degrees of Freedom Sum of Mean Square (Variance) MSA 22 Source Squares FSTAT Among groups...
Source Between treatments Within treatments Sum of Squares (Ss) df Mean Square (MS) 2 310,050.00 2,650.00 In some ANOVA summary tables you will see, the labels in the first (source) column are Treatment, Error, and Total Which of the following reasons best explains why the within-treatments sum of squares is sometimes referred to as the "error sum of squares"? O Differences among members of the sample who received the same treatment occur when the researcher O Differences among members of...
In a completely randomized design,12 experimental units were used for the first treatment, 15 for thesecond treatment, and 20 for the third treatment. Complete thefollowing analysis of variance (to 2 decimals, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square F Treatments 1200 Error Total 1600 At a .05 level of significance, isthere a significant difference between the treatments? P -value is? Less than 0.1 Between 0.1 and 0.25 Between 0.25 and 0.05 Between 0.05 and...