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A two-way table is a frequency table that shows data obtained from one source that belongs to two categories. We will first illustrate how to make a two-way table by using a survey example. Next, the table that we built will help us to explain how we can read a two-way table.
Let's consider the results of survey in which 80 students were asked whether they play a musical instrument and whether they play a sport.
Please note that this is only one survey example of many possibilities. Let's make a two-way table using the above information.
We first need to determine the categories of our data. In this case, the categories are Play a Sport
and Play an Instrument.
Each category is further divided into the possible answers, Yes
and No.
We can now label our rows and columns.
A row total and a column total should be added to the table. These will be filled in with the marginal frequencies and the total number of observations.
We can now fill the table using the given data. The first entry of the table represents the number of people who practice both activities, which is 16. The second entry is for the people who play a sport but not an instrument, and so on. The total number of people surveyed corresponds to the bottom-right box.
Now, let's see how we can read the two-way table that we built!
Each entry that is not in the Total row or Total column represents the cases with the characteristics described by the intersecting row and column at that entry. These are called joint frequencies.
The sum of the joint frequencies in a row or column is called the marginal frequency. These frequencies tell us the number of people that fit that criteria in our table.
Finally, the bottom-right cell tells us the total number of observations or the number of people surveyed. In this case, 80 people were surveyed.
For both making and reading a two-way table, we first need to identify the categories. Each entry describes a joint frequency, while the marginal frequencies are placed in the Total row and Total column. The bottom-right cell tells us the total number of observations.