A. Perform a one-way ANOVA to look at whether income (INC1) differs by type of relationship (RELAT). Which of the following describes your result: A. F(3,396) = 4.91, p > .05 B. F(3,396) = 4.91, p < .001 C. F(3,396) = 6.85, p > .05 D. F(3,396) = 6.85, p < .001 B.
The main effect due to gender indicates that:
A. Women earn more than men.
B. Men earn more than women.
C. Men and women have incomes that are not significantly different.
D. Participants earn more than their partners.
The main effect due to marital status indicates:
A. Your income tends to decrease after a divorce.
B. Getting married tends to increase your income.
C. Marital status is unrelated to income.
D. Married people tend to earn more than single people.
The interaction effect indicates:
A. Men earn more than women and married people earn more than singles.
B. The male/female income difference is greater when comparing married people than when comparing singles.
C. The interaction effect is non-significant.
D. Marriage helps men’s careers more than it helps women’s careers.
DATA:
ANOVA
Income
Sum of Squares
Between groups = 32231229425.089 df = 3 Mean Square = 10743743141.696 F= 6.846 Sig. .000
Within groups = 621488270684.351 df= 396 Mean Square = 1569414824.960
Total = 653719500109.440 df = 399
Between Subjects factors Value Label N Gender 1 MALE 200 2 FEMALE 200 Marital Status 0 SINGLE 163 1 Married 237
Descriptive Statistics Dependendent Variable: Income
Gender Marital status Mean Std. Deviation N
Male Single $47,184.00 $37,615.414 65
Married $69,710.52 $48,816.021 135
Total $62,389.40 $46,600.055 200
FEMALE Single $29,091.80 $20,282.150 98
Married $34,473.45 $29,329.082 102
Total $31,836.44 $25,384.451 200
Total Single $36,306.48 $29,736.414 163
Married $54,545.20 $45,020.885 237
A)option D: F(3,396)=6.85,p<0.001
B)option c: men and women have incomes that are significantly different.
C)option c: marital status is unrelated to income
D)option c: interaction effect is non significant.
A. Perform a one-way ANOVA to look at whether income (INC1) differs by type of relationship...
#2. Perform a one-way ANOVA to look at whether income (INC1) differs by type of relationship (RELAT). Which of the following describes your result: A. F(3,396) = 4.91, p > .05 B. F(3,396) = 4.91, p < .001 C. F(3,396) = 6.85, p > .05 D. F(3,396) = 6.85, p < .001 ANOVA Relationship happiness Sum of Squares df Mean Square F Sig. Between Groups 119.078 105 1.134 1.095 .277 Within Groups 304.512 294 1.036 ...
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