Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 180 3...
|
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 |
Homework Answers
Solution :
F = ((180 / 3) / (300 / 15) = 3
Using F ,
P-value is 0.0638
If at 95% confidence, we want to determine whether or not the means of
the populations are equal, the p-value is between 0.05 to 0.1
Add Answer to:
Source of
Variation
Sum of
Squares
Degrees of
Freedom
Mean
Square
F
Between Treatments
180
3...
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 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
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 64 8 Within Treatments 2 Error Total 100 The conclusion of the test is that the means are equal may be equal are not equal None of these alternatives are correct.
Part of an ANOVA table is shown below. Source of Variation Sum of Squares Degrees of...
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.
q4 Source Of Variation Treatments Sum Degrees Of Freedom Mean Of Squares Square Error 28,67 Total...
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...
Exhibit 13-5 Part of an ANOVA table is shown below. Source of Variation Sum of Squares...
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
Part of an ANOVA table is shown below. Source of Variation Sum of Squares Degrees of...
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.
#11 At a 5% level of significance, if we want to determine whether or not the...
#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...
#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...
Mean Square (Variance) Degrees of Sum of Source Freedom Squares Consider an experiment with nine groups, with eight val...
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...
#16 The test statistic is a. 6.00. b. 2.25. c. 3.00. d. 2.67. #17 The mean...
#16
The test statistic is
a.
6.00.
b.
2.25.
c.
3.00.
d.
2.67.
#17
The mean square due to error (MSE) is
a.
60.
b.
18.
c.
15.
d.
20.
Part of an ANOVA table is shown below. Sum of Degrees Squares Freedom Mean of Source of Variation Square 180 Between Treatments Within Treatments (Error) TOTAL 480 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...
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
#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...
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...
#16
The test statistic is
a.
6.00.
b.
2.25.
c.
3.00.
d.
2.67.
#17
The mean square due to error (MSE) is
a.
60.
b.
18.
c.
15.
d.
20.
Part of an ANOVA table is shown below. Sum of Degrees Squares Freedom Mean of Source of Variation Square 180 Between Treatments Within Treatments (Error) TOTAL 480 18
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