Assume the market research department has gathered data below from a random sample of 759.
Location
Female
Male
Suburban
196
173
Urban
298
92
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Based on the data provided, we have information about the distribution of males and females in suburban and urban locations. To better understand this data, we can create a contingency table or a cross tabulation.
A cross tabulation is a table that shows the frequency distribution of two or more variables. In this case, we want to see the distribution of gender based on location. Let's create a cross tabulation table:
| Female | Male |
-----------------------
Suburban | 196 | 173 |
-----------------------
Urban | 298 | 92 |
-----------------------
From this table, we can see the number of females and males in each location. For example, in the suburban area, there are 196 females and 173 males. In the urban area, there are 298 females and 92 males.
This cross tabulation table helps us understand the distribution of gender within each location and can be used for further analysis or decision-making.
Assume the market research department has gathered data below from a random sample of 759.
Location
Female
Male
Suburban
196
173
Urban
298
92