Exam 7: Analyzing Data: Bivariate Relationships

For the following crosstable, answer these questions: Count Percent White Males Males of Color Junior 55 36 College or 28.4 56.3 less College or 139 28 more 71.6 43.8 Totals 194 64 40.9 13.5 White Females Females of Total 128 30 249 72.7 75.0 52.5 48 10 225 27.3 25.0 47.5 176 40 474 37.1 8.4 100.0 -put into words what the 56.3 says:

Put into words using the concept of PRE what each of the following correlations mean: -Gamma = .65 for a relationship between categories of income and gender.

The percentages for each value or category of the ___________ variable should add up to 100 percent.

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r): -there is no relationship between height and GPA _______

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r): -there is no relationship between race and the type of car owned _______

For the following crosstable, answer these questions: Count Percent White Males Males of Color Junior 55 36 College or 28.4 56.3 less College or 139 28 more 71.6 43.8 Totals 194 64 40.9 13.5 White Females Females of Total 128 30 249 72.7 75.0 52.5 48 10 225 27.3 25.0 47.5 176 40 474 37.1 8.4 100.0 -Which statistics would you use to test the relationship?

Put into words using the concept of PRE what each of the following correlations mean: -Lambda = .30 for a relationship between type of car owned and religious preference

For the following crosstable, answer these questions: Count Percent White Males Males of Color Junior 55 36 College or 28.4 56.3 less College or 139 28 more 71.6 43.8 Totals 194 64 40.9 13.5 White Females Females of Total 128 30 249 72.7 75.0 52.5 48 10 225 27.3 25.0 47.5 176 40 474 37.1 8.4 100.0 -what would you conclude about the hypothesis based on these data? Put into words what this data analysis is telling us.

A correlation of .05 is a strong significant relationship.

For the following crosstable, answer these questions: Count Percent White Males Males of Color Junior 55 36 College or 28.4 56.3 less College or 139 28 more 71.6 43.8 Totals 194 64 40.9 13.5 White Females Females of Total 128 30 249 72.7 75.0 52.5 48 10 225 27.3 25.0 47.5 176 40 474 37.1 8.4 100.0 -what is the null hypothesis being tested here?

For the following crosstable, answer these questions: Count Percent White Males Males of Color Junior 55 36 College or 28.4 56.3 less College or 139 28 more 71.6 43.8 Totals 194 64 40.9 13.5 White Females Females of Total 128 30 249 72.7 75.0 52.5 48 10 225 27.3 25.0 47.5 176 40 474 37.1 8.4 100.0 -Which is the independent variable and which is the dependent variable?

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r): -there is no relationship between numerical scores on an exam and number of hours studied _________

Put into words using the concept of PRE what each of the following correlations mean: -Pearson r = -.40 for a relationship between GPA and number of hours partying in a typical week

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r): -there is no relationship between schooling completed (measured as high school, some college, college, graduate school) and frequency of reading literary magazines (measured as daily, a few times a week, monthly, yearly) __________

Which one of the following is the strongest correlation coefficient?