Bivariate statiSTICs for caegorical varibles: contingecy tables

Bivariate Statistics for Categorical Variables : Contingency Tables

Lab Assignment 3

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Sociology 303 - Statistics with Computer Applications

Summer Term 2010

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Bivariate Statistics for Categorical Variables : Contingency Tables

Research Hypothesis 1

Research Question : Is there an association between respondent 's sex and their marital status

The two nominal level variables are respondent 's sex and marital status The independent variable is respondent 's sex and dependent variable is respondent 's marital status

The null and alternate hypotheses are

Null hypothesis , H0 : Marital status is

independent of sex

Alternate Hypothesis , H1 : Marital status is dependent on sex

The variable sex measures respondent 's 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 `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

Majority (57 .3 ) of the respondent 's were male . Majority (53 .0 ) of the respondent 's 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 : Respondent 's marital status by sex

Respondent 's...