Two Way Tables

Front

What is a two-way table?

Back

A two-way table is a statistical table that displays the frequency distribution of two categorical variables. It helps in analyzing the relationship between the two variables.

Front

How do you calculate joint frequency in a two-way table?

Back

Joint frequency is calculated by counting the number of occurrences for a specific combination of categories from the two variables.

Front

What is marginal frequency in a two-way table?

Back

Marginal frequency refers to the total counts of each category in a single variable, found by summing the rows or columns of the two-way table.

Front

What is relative frequency?

Back

Relative frequency is the ratio of the frequency of a specific category to the total number of observations, often expressed as a percentage.

Front

How do you find the probability of an event using a two-way table?

Back

The probability of an event can be found by dividing the joint frequency of the event by the total number of observations.

Front

What is the formula for calculating percentage from frequency?

Back

Percentage = (Frequency / Total Frequency) x 100.

Front

What does it mean if a two-way table shows a high joint frequency for a specific category?

Back

A high joint frequency indicates a strong association between the two categories represented in the table.

Front

How can two-way tables be used to analyze survey data?

Back

Two-way tables can summarize responses from surveys, allowing for easy comparison between different groups and their preferences.

Front

What is the difference between joint relative frequency and marginal relative frequency?

Back

Joint relative frequency is the ratio of joint frequency to the total number of observations, while marginal relative frequency is the ratio of marginal frequency to the total number of observations.

Front

How do you interpret a two-way table?

Back

To interpret a two-way table, look at the joint frequencies to understand relationships, and use marginal frequencies to see overall trends.