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. |
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 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.
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 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...
e. Set up the ANOVA table for this problem. Round all Sum of Squares to nearest whole numbers. Round all Mean Squares to one decimal places. Round F to two decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F Treatments Error Total f. At the α-.05 level of significance, test whether the means for the three treatments are equal The p-value is less than.01 What is your conclusion? Select The following data are from a...
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...