Intro to Unit 3: 2-way frequency tables

Front

What is a 2-way frequency table?

Back

A 2-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.

Front

How do you determine the total number of observations in a 2-way frequency table?

Back

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

Front

What does it mean if a row in a 2-way frequency table has a higher total than another?

Back

It indicates that the category represented by that row has more occurrences or responses compared to the other category.

Front

What is the purpose of using a 2-way frequency table?

Back

The purpose is to analyze the relationship between two categorical variables and to identify patterns or trends in the data.

Front

How can you find the relative frequency in a 2-way frequency table?

Back

Relative frequency is found by dividing the frequency of a specific category by the total number of observations.

Front

What is a marginal frequency in a 2-way frequency table?

Back

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

Front

What does it indicate if the majority of a category in a 2-way frequency table is one gender?

Back

It suggests a potential preference or trend among that gender for the variable being analyzed.

Front

How can you use a 2-way frequency table to answer survey questions?

Back

You can analyze the frequencies and totals to draw conclusions about the relationships between the variables surveyed.

Front

What is the significance of the total column in a 2-way frequency table?

Back

The total column summarizes the overall counts for each category, helping to understand the distribution of responses.

Front

How do you interpret the data in a 2-way frequency table?

Back

Interpretation involves analyzing the frequencies and totals to identify trends, relationships, and significant differences between categories.