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Using independent random samples of Canadians with different marital status, an analysis of variance (ANOVA) has been conducted to investigate whether annual household income differs

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Using independent random samples of Canadians with different marital status, an analysis of variance (ANOVA) has been conducted to investigate whether annual household income differs by marital status. The income variable should be considered as interval-ratio and has been measured as follows: (.6 for each multiple choice question for a total of 3 points) 1 No income 5 $15,000 to $19,999 9 $50,000 to $59,999 2 Less than $5,000 6 $20,000 to $29,999 10 $60,000 to $79,999 3 $5,000 to $9,999 7 $30,000 to $39,999 11 $80,000 to $99,999 4 $10,000 to $14,999 8 $40,000 to $49,999 12 $100,000 or more The results of the ANOVA are presented below. Descriptives Total household income Std. Sid. N Mean Deviation Error Minimum| Maximum 1 Married 8892 9.49 2.255 .024 12 2 Living common-law 1847 9.31 2.208 .051 12 3 Widowed 1241 6.38 2 179 .062 12 4 Separated 598 7.35 2.635 .100 12 5 Divorced 1596 7.10 2.528 063 12 6 Single (Never married) 3993 794 2.712 043 12 Total 15267 8.63 2.616 019 12 ANOVA Total household income Sum of Squares df Mean Square F Between Groups 20465.738 5 4093.148 715.145 .000 Within Groups 104517 224 18261 5.724 Total 124982.963 18266Identify the choice that best completes the statement or answers the question. If the null hypothesis is rejected, we can conclude that O a. None of these conclusions are possible without the benefit of post- hoc comparisons O b. Married couples earn significantly more money than people who are widowed O c. Common-law couples earn significantly more money than people who are widowed O d. Single people earn significantly more money than people who are divorced

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