WED, DEC. 18TH WARM-UP: 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 variables. It allows for the comparison of two categorical variables.

Front

How do you interpret data from a two-way table?

Back

To interpret data from a two-way table, look at the counts in each cell to understand the relationship between the two variables. Analyze row and column totals to see overall trends.

Front

What does it mean if a two-way table shows a higher count in one category?

Back

A higher count in one category suggests a stronger association or preference for that category among the surveyed group.

Front

What is the purpose of conducting a survey in relation to two-way tables?

Back

Surveys collect data that can be organized into two-way tables to analyze relationships between different groups or preferences.

Front

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

Back

A marginal total is the sum of the counts in a row or column, showing the total for one of the variables.

Front

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

Back

A conditional total is the total for a specific category of one variable, given a specific category of another variable.

Front

How can you determine if there is a significant difference between groups in a two-way table?

Back

You can determine significant differences by comparing the counts and calculating percentages or using statistical tests.

Front

What does it mean if both groups in a two-way table prefer the same option?

Back

If both groups prefer the same option, it indicates that the preference is not influenced by the group category.

Front

How can you use a two-way table to answer a question about preferences?

Back

You can use a two-way table to find the counts of each preference for different groups and compare them to draw conclusions.

Front

What is the relationship between two categorical variables?

Back

The relationship between two categorical variables shows how one variable may influence or correlate with the other.