2 way tables

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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 allows for the comparison of the relationship between the two variables.

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How do you calculate the percentage from a two-way table?

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

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What does it mean if a two-way table shows a high percentage in one category?

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A high percentage in one category indicates that a larger proportion of the total observations fall into that category, suggesting a stronger preference or characteristic among the surveyed group.

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

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The purpose is to organize and summarize data, making it easier to analyze relationships between two categorical variables.

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How can you find the total number of respondents in a two-way table?

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

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

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A marginal total is the sum of the frequencies for a row or a column, representing the total for that category.

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What is conditional probability in the context of a two-way table?

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Conditional probability is the probability of an event occurring given that another event has already occurred, often calculated using the frequencies in a two-way table.

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How do you interpret the data in a two-way table?

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Interpretation involves analyzing the frequencies and percentages to understand the relationship between the two variables and drawing conclusions based on the data.

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What is the significance of the missing value in a two-way table?

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The missing value can affect the overall analysis and conclusions drawn from the table, and it may need to be estimated or calculated based on the other values.

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How can you use a two-way table to find the probability of an event?

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To find the probability of an event, divide the frequency of the event by the total number of observations.