Exploring Data Displays and Associations

The video tutorial covers the use of data displays to find associations among variables. It explains how to create and interpret relative frequency tables, bar graphs, and segmented bar graphs. The tutorial includes examples involving sports and musical instruments, as well as a real-world scenario with an eraser factory. The focus is on understanding how to read tables, calculate percentages, and visually compare data to identify associations.

What is the main objective of this lesson?

• To learn about different types of sports

• To create relative frequency tables, bar graphs, and segmented bar graphs to find associations among variables

• To learn about different types of data

• To understand musical instruments

How many students play a sport but do not play a musical instrument?

• 4

• 16

• 11

• 5

What percentage of students who play a sport do not play a musical instrument?

• 73%

• 50%

• 69%

• 44%

What is the difference between a frequency table and a relative frequency table?

• Frequency tables use percentages, while relative frequency tables use numbers

• Frequency tables are for sports data, while relative frequency tables are for musical data

• Frequency tables use numbers, while relative frequency tables use decimals or percentages

• There is no difference

How many students play a sport and play an instrument according to the relative frequency table?

• 19

• 11

• 26

• 7

What is the first step in creating a segmented bar graph?

• Reading the table

• Calculating percentages

• Coloring the segments

• Drawing the outline

What percentage of students who do not play sports play an instrument?

• 61%

• 73%

• 39%

• 27%

What is the purpose of using colors or shading in a segmented bar graph?

• To represent different categories

• To confuse the reader

• To highlight the outline

• To make the graph look attractive

What can be inferred from the segmented bar graph about the association between playing sports and playing a musical instrument?

• The association is unclear

• There is a strong association

• There is no association

• There is a slight association

How can we see evidence of an association in a bar graph or a segmented bar graph?

• By reading the table

• By counting the items

• By numerically comparing the proportions

• By visually comparing the proportions