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, allowing for the analysis of the relationship between them.

Front

How do you read a two-way table?

Back

To read a two-way table, locate the row corresponding to one variable and the column corresponding to the other variable. The intersection shows the frequency or count for that combination.

Front

What is the purpose of a two-way table?

Back

The purpose of a two-way table is to summarize data and show the relationship between two categorical variables, making it easier to analyze patterns and trends.

Front

What does the term 'marginal frequency' mean in a two-way table?

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Marginal frequency refers to the totals found in the margins (rows or columns) of a two-way table, representing the total counts for each category.

Front

What is 'joint frequency' in a two-way table?

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Joint frequency is the count of occurrences for a specific combination of categories from the two variables in a two-way table.

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How can you determine the least popular choice from a two-way table?

Back

To determine the least popular choice, compare the joint frequencies for each option and identify the one with the lowest count.

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What is a 'conditional frequency' in a two-way table?

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Conditional frequency is the frequency of a specific category given a condition on another variable, often calculated by dividing the joint frequency by the total for that row or column.

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How do you calculate the total number of respondents in a survey using a two-way table?

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To calculate the total number of respondents, sum all the joint frequencies in the table.

Front

What is the significance of the total row and total column in a two-way table?

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The total row and total column provide marginal frequencies, showing the overall counts for each category, which helps in understanding the distribution of data.

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How can two-way tables help in making decisions?

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Two-way tables help in making decisions by providing a clear visual representation of data relationships, allowing for informed conclusions based on observed patterns.