Front

What is a two-way frequency table?

Back

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.

Tags

CCSS.8.SP.A.4

Front

How do you calculate relative frequency?

Back

Relative frequency is calculated by dividing the frequency of a specific outcome by the total number of observations, often expressed as a percentage.

Tags

CCSS.8.SP.A.4

Front

What does it mean if a relative frequency is 15%?

Back

It means that 15 out of every 100 observations fall into that specific category.

Tags

CCSS.8.SP.A.4

Front

How can you find the total number of surveyed individuals from a two-way frequency table?

Back

Add all the frequencies in the table to find the total number of surveyed individuals.

Tags

CCSS.8.SP.A.4

Front

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

Back

The purpose is to summarize data and analyze the relationship between two categorical variables.

Tags

CCSS.8.SP.A.4

Front

What is the formula for calculating the percentage of a subgroup in a two-way frequency table?

Back

Percentage of a subgroup = (Frequency of the subgroup / Total frequency) x 100.

Tags

CCSS.8.SP.A.4

Front

If 73 females were surveyed, what does this indicate about the sample?

Back

It indicates that females made up a significant portion of the surveyed population.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What does a relative frequency of 27.2% for instrument players not playing team sports imply?

Back

It implies that approximately 27 out of every 100 instrument players do not participate in team sports.

Tags

CCSS.8.SP.A.4

Front

How do you interpret a two-way frequency table?

Back

Interpretation involves analyzing the frequencies to understand the relationship between the two variables and identifying trends or patterns.

Tags

CCSS.8.SP.A.4

Front

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

Back

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

Tags

CCSS.8.SP.A.4