Crosstabs would be used to test this association. There is a significant correlation between the education of a mother and a daughter (r = .474, p < .01).
e. Does Belief in Life After Death impact one's happiness in their marriage?
Belief in life after death would be the Independent Variable and Happiness in one's marriage would be the Dependent Variable. Crosstabs would be used to test this association. 83.8% of people who report being very happy in their marriage believe in life after death. 66.7% of people who report being not very happy with their marriage believe in life after death.
Part 3
a. How many people without a high school diploma find life exciting?
66
b. What percentage of people without a high school diploma find life exciting?
35.5%
c. Of the people who find life exciting, what percentage do not have a high school diploma?
14%
d. If degree is the column variable and life is the row variable, what kind of percentages should compare for the table?
The percentages would remain the same, they would just be found in a different cell.
e. Summarize the relationship, if any, between perception of life and highest degree earned.
In general, as level of education goes up, individuals are more likely to rate their perception of life as exciting.
RS Highest Degree * Is life exciting or dull Crosstabulation
Over 250 respondents reported working 40 hours, with the next highest frequency being under 100. Number of Siblings The histogram for the number of siblings shows a negatively skewed data set, with more participants reporting fewer siblings. However, the range in this variable was quite high, ranging from 0 to 22 siblings. The mean response was 3.71 siblings, the median response was 3 siblings and the mode of the sample was
Overall, it appears that the relationships between these variables are somewhat similar between men and women, although there are slight differences, most keenly pointed out in the ANOVA results. Correlations Respondent's Sex Age of Respondent Highest Year of School Completed Total Family Income Job Satisfaction Male Age of Respondent Pearson Correlation 1 -.240** -.065 -.125** Sig. (2-tailed) .000 .103 .005 N Highest Year of School Completed Pearson Correlation -.240** 1 .419** -.042 Sig. (2-tailed) .000 .000 .350 N Total Family Income Pearson Correlation -.065 .419** 1 -.114* Sig. (2-tailed) .103 .000 .012 N Job Satisfaction Pearson Correlation -.125** -.042 -.114* 1 Sig. (2-tailed) .005 .350 .012 N Female Age of Respondent Pearson Correlation 1 -.275** -.115** -.123** Sig. (2-tailed) .000 .001 .002 N Highest Year of School Completed Pearson Correlation -.275** 1 .459** -.093* Sig. (2-tailed) .000 .000 .018 N Total Family Income Pearson Correlation -.115** .459** 1 -.196** Sig.
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