Note that if you were to make frequency tables for your row variable and your column variable, the frequency table should match the values for the row totals and column totals, respectively. The row sums and column sums are sometimes referred to as marginal frequencies. Total sum (i.e., total number of observations in the table): n = a + b + c + d.Column sum of column 2 (i.e., total number of observations in Column 2): b + d.Column sum of column 1 (i.e., total number of observations in Column 1): a + c.Row sum of row 2 (i.e., total number of observations in Row 2): c + d.Row sum of row 1 (i.e., total number of observations in Row 1): a + b.

d is the number of observations corresponding to Row 2 AND Column 2.Д«y adding a, b, c, and d, we can determine the total number of observations in each category, and in the table overall.c is the number of observations corresponding to Row 2 AND Column 1.b is the number of observations corresponding to Row 1 AND Column 2.a is the number of observations corresponding to Row 1 AND Column 1.The letters a, b, c, and d represent what are called cell counts. Column variable: Smoking (3 categories: never smoked, past smoker, current smoker)ДЄ typical 2x2 crosstab has the following construction:.Column variable: Gender (2 categories: male, female).Row variable: Class Rank (4 categories: freshman, sophomore, junior, senior).Column variable: Alcohol (2 categories: no, yes).Row variable: Gender (2 categories: male, female).(The 'total' row/column are not included.) The table dimensions are reported as as Rx C, where R is the number of categories for the row variable, and C is the number of categories for the column variable.ДЄdditionally, a 'square' crosstab is one in which the row and column variables have the same number of categories. The dimensions of the crosstab refer to the number of rows and columns in the table.

Chi square test spss