Two Way Tables

A Two Way Table is a statistical table that displays the frequency distribution of two categorical variables, allowing for the analysis of the relationship between them.

To read a Two Way Table, locate the row and column corresponding to the categories of interest, and find the intersection to see the frequency or count.

The purpose of a Two Way Table is to summarize data and show the relationship between two categorical variables.

Marginal totals are the sums of the rows and columns in a Two Way Table, showing the total counts for each category.

To determine the most popular choice, look for the highest frequency count in the relevant row or column.

If two variables are independent, the distribution of one variable does not affect the distribution of the other variable.

To calculate the difference, subtract the frequency count of one category from the frequency count of another category.

A conditional frequency is the frequency of a category given a specific condition, often calculated by dividing the frequency by the total of the relevant row or column.

The total number of responses provides context for interpreting the frequencies and calculating percentages.

To identify the least popular choice, look for the lowest frequency count in the relevant row or column.