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Two-Way Frequency Tables [ALGEBRA 1]

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Questions and Answers

What is a Two Way Frequency Table?

A table that shows numerical data only

A table displaying three variables

A table listing two categorical variables whose values have been paired (correct)

A table showing only one categorical variable

What is Joint Relative Frequency?

It is found by dividing a frequency that is not in the Total Row or Total Column by the Grand Total.

What is Marginal Relative Frequency?

It is found by dividing a row total or a column total by the Grand Total.

What is a Two Way Relative Frequency Table?

<p>It displays both the joint relative and marginal relative frequencies.</p> Signup and view all the answers

What is Conditional Relative Frequency?

<p>It is found by dividing a frequency that is not in the Total Row or Total Column by the frequency's row total or column total.</p> Signup and view all the answers

Study Notes

Two Way Frequency Tables

A two-way frequency table organizes two categorical variables, allowing analysis of their relationship.

Joint Relative Frequency

Calculated by dividing a specific frequency value by the grand total, excluding totals from rows or columns.

Marginal Relative Frequency

Determined by dividing the total of a specific row or column by the grand total to understand overall distribution.

Two Way Relative Frequency Table

Combines both joint relative frequencies and marginal relative frequencies into one comprehensive table for better data representation.

Conditional Relative Frequency

Found by dividing a frequency (neither in the total row nor total column) by the total of its corresponding row or column, allowing for insights into specific conditions within the dataset.

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Description

Explore the concepts of two-way frequency tables with this flashcard quiz designed for Algebra 1. Learn key definitions such as joint relative frequency and marginal relative frequency, crucial for understanding categorical data. Test your knowledge and enhance your understanding of frequency tables in statistics.