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contingency table using gender (1: male, 0: female) as an independent variable and general health condition health (1: poor, 2: fair, 3: good) as a

contingency table using "gender" (1: male, 0: female) as an independent variable and general health condition "health" (1: poor, 2: fair, 3: good) as a dependent variable and then perform the chi-square test if general health conditions are different between male and female respondents. Interpret the results. Using only Excel and Excel Data Analysis Pak

gender health 0 2 0 1 0 3 0 3 0 3 1 1 1 2 1 3 1 3 0 1 1 1 0 2 0 3 1 2 1 2 0 3 1 3 1 3 0 2 0 3 1 3 1 1 1 3 1 3 1 1 0 2 1 2 0 2 1 3 0 2 1 1 0 1 0 3 1 3 1 3 1 2 0 3 0 3 0 3 0 2 1 1 1 3 0 2 0 3 1 3 0 2 0 3 0 1 1 2 1 1 1 3 0 2 1 2 1 2 1 3 1 3 0 2 1 2 1 3 0 2 1 2 1 3 1 2 1 3 1 3 0 2 0 1 1 2 0 3 1 3 0 3 1 2 0 3 0 2 0 2 0 3 0 2 1 3 1 2 0 3 1 2 1 2 0 3 1 2 1 1 0 3 0 2 1 3 0 3 1 1 1 2 0 3 1 3 0 2 0 3 1 2 0 2 1 2 1 3 1 3 0 3 1 2 1 1 1 3 0 3 1 3 1 2 1 3 0 3 1 3 1 3 1 1 0 3 1 3 1 3 0 2 0 2 0 1 0 2 0 2 0 3 0 2 1 2 1 1 0 2 0 3 0 3 1 2 0 2 0 2 1 1 0 1 1 3 1 2 0 3 1 3 1 1 1 2 1 3 0 2 0 2 0 3 0 2 1 2 0 3 0 2 0 2 0 1 1 3 0 2 1 1 1 1 0 3 1 1 0 3 0 2 0 3 0 3 0 2 1 2 1 1 0 3 1 2 1 3 1 3 1 3 0 3 0 2 0 2 1 2 1 3 1 2 1 1 0 3 1 3 0 2 1 2 0 2 0 2 0 3 0 3 0 3 0 2 0 3 1 2 0 3 0 2 1 2 1 2 1 3 0 3 1 3 0 1 1 2 1 3 1 3 1 2 0 3 0 2 0 2

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