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.

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

401 Question 11D 1. What are the null and alternative hypotheses? Null Hypothesis: Volume has no relation to defect rate (the slope is equal to 0). Alternative Hypothesis: As volume increase, defect rate increases. (the slope is not equal to 0). 2. What is the population of interest? What is the sample? All shifts at the plant in question make up the population of interest. 160 randomly selected shifts make up the sample. 3. On the basis of

SPSS Data Analysis Does the number of average study hours per week during the semester accurately predict final exam grades? Independent variable: average number of study hours per week. Hours is continuous data because it can take on any value below 168 hours, which is the number of hours in a week. Even though the data is reported in integer form the 'hours' data is continuous. Hours data is quantitative, since it can be

Look at the variables that show the change in the percentage of schools meeting or exceeding state standards (mathch94, readch94, and scich94). Test the hypothesis that the true change in the percentage meeting state standards is 0. Write a short report to the mayor detailing your findings. Reading improved but not math and science. Assignment #7c: Use Assignment 7c -- Tutorial Problem 8 ?" Chapter 13: Look at the changes between 1993 and 1994

2%, female 5.1% CRKEVER - male 13.9%, female 8.6% HEREVER -- male .9%, female, .5% 5 H1: Females are more likely than males to have ever smoked a cigarette. This hypothesis is not supported by the data. In this sample, 34.7% of those who had ever tried a cigarette were male, while 32.3% of those who had ever tried a cigarette were female. H2: Males are more likely than females to have ever used cocaine. This hypothesis