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 two categorical variables, allowing for the analysis of the relationship between them.

Tags

CCSS.8.SP.A.4

Front

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

Back

To calculate the percentage, divide the frequency of the specific category by the total frequency and multiply by 100.

Tags

CCSS.8.SP.A.4

Front

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

Back

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

Tags

CCSS.8.SP.A.4

Front

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

Back

Joint frequency is the count of occurrences for a specific combination of categories in a two-way table.

Tags

CCSS.8.SP.A.4

Front

How can you determine the most common category in a two-way table?

Back

Identify the highest joint frequency in the table, which indicates the most common category combination.

Tags

CCSS.8.SP.A.4

Front

What is the purpose of a two-way table?

Back

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

Tags

CCSS.8.SP.A.4

Front

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

Back

Interpretation involves analyzing the joint and marginal frequencies to understand the relationship and trends between the two variables.

Tags

CCSS.8.SP.A.4

Front

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

Back

Conditional frequency is the frequency of a category given a specific condition, often calculated by dividing the joint frequency by the marginal frequency.

Tags

CCSS.8.SP.A.4

Front

How do you find the total number of observations in a two-way table?

Back

The total number of observations is found by summing all the joint frequencies in the table.

Tags

CCSS.6.SP.B.5A

Front

What is the difference between qualitative and quantitative data in the context of two-way tables?

Back

Qualitative data represents categories or attributes, while quantitative data represents numerical values.