The video tutorial explains how to summarize and display categorical data using frequency and relative frequency tables. It covers the creation of these tables and their use in graphical representations like bar and pie charts. The tutorial emphasizes the importance of consistent bar widths and spacing in bar charts and explains how pie charts represent data proportionally.

What type of data is used to categorize information like eye color?

• Numerical data

• Categorical data

• Continuous data

• Ordinal data

What is a common method to summarize categorical data?

• Using standard deviation

• Using medians

• Using counts or percentages

• Using averages

What is a frequency table used for?

• To show the frequency of categorical outcomes

• To display continuous data

• To display numerical data

• To calculate averages

What does a relative frequency table display?

• Only totals

• Only counts

• Decimals or percentages

• Only categories

How should the columns in a relative frequency table add up?

• To exactly 100%

• To close to 100%

• To close to 1

• To exactly 1

What is a key feature of a bar chart?

• Bars must be touching

• Bars must have the same width

• Bars must have different widths

• Bars must be circular

What is the difference between a bar chart and a histogram?

• Histograms are circular

• Bar charts have spaces between bars

• Histograms have spaces between bars

• Bar charts have touching bars

What does a pie chart represent?

• Numerical data

• Raw data

• Relative frequency data

• Continuous data

How is the size of a slice in a pie chart determined?

• By the total number of categories

• By the percentage of the category

• By the count of the category

• By the alphabetical order of categories

What is the advantage of using a pie chart?

• It shows exact counts

• It displays data in a linear format

• It provides a proportional visual representation

• It is easier to create by hand