Contingency Tables Essay Example for Free

Contingency Tables EssayThe two nominative level variables are responders sex and matrimonial locating. The independent variable is respondents sex and dependent variable is respondents married positioning. The null and alternate hypotheses are Null hypothesis, H0 Marital status is independent of sex. jump off Hypothesis, H1 Marital status is dependent on sex. The variable sex measures respondents gender. The valid categories of beat for the variable sex are Male and Female and they are coded as 1 and 2, respectively. The variable is a legal example for the nominal level of measurement, as it merely identifies a category. The variable marital status measures respondent marital status. The valid categories of measurement for the variable marital status are Married, widowed, Divorced, Separated and Never married and they are coded as 1, 2, 3, 4 and 5, respectively. The variable is a good example for the nominal level of measurement, as it merely identifies a category. Major ity (57. 3%) of the respondents were male. Majority (53. 0%) of the respondents were married. The percentage of respondents widowed, divorced, separated and never married were 11. 0%, 14. 2%, 2. 7% and 19. 1%, respectively.Table 1 shows the cross-tabulation of respondents marital status by sex. The diffusion of male respondents for married, widowed, divorced, separated and never married were 59. 8%, 4. 8%, 11. 7, 1. 4% and 22. 2%, respectively. The distribution of female respondents for married, widowed, divorced, separated and never married were 48. 0%, 15. 6%, 16. 1, 3. 6% and 16. 8%, respectively. The table provides an evidence of correlation (association) between respondents sex and marital status in the sample. There appears a weak association between respondents sex and marital status.In general, the information summarized in the table 1 seems to provide evidence supporting research (alternate) hypothesis, as the distribution of male and females respondents for marital stratu s are not similar. The value of nominal directional measure of association lambda is 0. This indicates no relationship between respondents sex and marital status that is knowing the respondents sex does not increase the ability to predict his or her marital status. This statistics (lambda) does not improve upon the use of column percentages to evaluate the given correlation.