Contingency Tables Essay Example for Free

Contingency Tables EssayThe two nominal take aim variables are respondents sex and marital status. The independent variable is respondents sex and dependent variable is respondents marital status. The null and permutation hypotheses are Null hypothesis, H0 Marital status is independent of sex. Alternate Hypothesis, H1 Marital status is dependent on sex. The variable sex measures respondents gender. The valid categories of measurement for the variable sex are Male and Female and they are coded as 1 and 2, respectively. The variable is a good 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 wed, 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. Majority (57. 3%) of the respondents were male. Majority (53. 0%) of the respondents were married. The percentage of respondents widowed, divorced, apart(p) 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 distribution 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 indistinct association between respondents sex and marital status.In general, the information summarized in the table 1 seems to provide evidence supporting search (alternate) hypothesis, as the distribution of male and females respondents for marital stratus 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 name his or her marital status. This statistics (lambda) does not improve upon the use of column percentages to evaluate the given correlation.