Two-Way Frequency Tables

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What is a two-way frequency table?

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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 calculate the total number of observations in a two-way frequency table?

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

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

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

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How can you find the percentage of a specific category in a two-way frequency table?

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To find the percentage of a specific category, divide the frequency of that category by the total number of observations and multiply by 100.

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

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The purpose of using a two-way frequency table is to organize and analyze the relationship between two categorical variables.

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If 31% of female athletes surveyed play basketball, how do you interpret this percentage?

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This percentage indicates that out of all the female athletes surveyed, 31% participate in basketball.

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How do you determine the number of students taking a specific subject from a two-way frequency table?

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To determine the number of students taking a specific subject, locate the corresponding cell in the table that represents that subject and category.

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

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The total row and total column provide the overall counts for each category, helping to summarize the data.

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

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You can compare two groups by examining the frequencies and percentages in the table to see how they differ across categories.

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What information can you gather from the marginal totals of a two-way frequency table?

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Marginal totals provide insights into the overall distribution of each variable, showing how many observations fall into each category.