Data Display and Visualization Concepts

Data Display and Visualization Concepts

Assessment

Interactive Video

Mathematics

6th - 7th Grade

Hard

Created by

Thomas White

FREE Resource

This video tutorial guides seventh graders on selecting appropriate data displays for various situations. It covers different types of graphs and plots, including bar graphs for categorical data, box plots for large data sets, circle graphs for percentages, histograms for frequency data, line graphs for changes over time, and dot plots for frequency on a number line. The video also provides guidelines for choosing the right data display based on the type of information, the display's purpose, and how it will be analyzed.

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21 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main purpose of this video tutorial?

To explain the history of data visualization.

To discuss the importance of data collection.

To teach seventh graders how to select appropriate data displays.

To provide a detailed analysis of statistical data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of graph is best for displaying data in categories?

Line Graph

Bar Graph

Box Plot

Circle Graph

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data is suitable for a bar graph?

Only numerical data

Only non-numerical data

Both numerical and non-numerical data

Data that changes over time

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does each bar in a bar graph represent?

A percentage

A different category

A single data point

A range of data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which graph is used to show variation in a large data set?

Line Graph

Box Plot

Bar Graph

Circle Graph

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the median in a box plot?

The middle value of the data set

The largest number in the data set

The smallest number in the data set

The average of the data set

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a circle graph show?

Data changes over time

Data broken into parts or percentages

Frequency of data

Data in categories

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