Two-Way Frequency Tables

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What is a two-way frequency table?

Back

A two-way frequency table is a statistical tool that displays the frequency of different outcomes in two categorical variables, allowing for the analysis of the relationship between them.

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How do you find the total number of students who like a specific option in a two-way frequency table?

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To find the total number of students who like a specific option, sum the frequencies in the corresponding row or column of the table.

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

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Frequency refers to the number of times a particular outcome occurs within the data set represented in the table.

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How can you determine the total number of respondents surveyed from a two-way frequency table?

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Add all the frequencies in the table to find the total number of respondents surveyed.

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What is the purpose of a two-way frequency table?

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The purpose of a two-way frequency table is to organize and summarize data to show the relationship between two categorical variables.

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How do you calculate the percentage of a specific category in a two-way frequency table?

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To calculate the percentage, divide the frequency of the specific category by the total number of respondents, then multiply by 100.

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What information can you derive from the margins of a two-way frequency table?

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The margins of a two-way frequency table provide the totals for each row and column, which can help in understanding the overall distribution of data.

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

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Joint frequency refers to the frequency count for a specific combination of two categories in the table.

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What is a marginal frequency in a two-way frequency table?

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Marginal frequency is the total frequency for a single category, found by summing the joint frequencies across the rows or down the columns.

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How can you use a two-way frequency table to compare preferences between two groups?

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By analyzing the joint frequencies for each group, you can compare their preferences and see how they differ.