Graphing and Data Representation Concepts

Graphing and Data Representation Concepts

Assessment

Interactive Video

Mathematics

6th - 7th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial covers various types of graphs including histograms, line plots, and stem-and-leaf plots. It provides detailed explanations on how to construct and interpret these graphs, focusing on histograms as a new concept. The tutorial also discusses the use of line plots and stem-and-leaf plots to visualize data, identify modes, ranges, and frequencies.

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28 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of graph is used to show the relationship of parts to a whole?

Line Plot

Histogram

Stem-and-Leaf Plot

Circle Graph

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key feature of a histogram?

It uses circles to represent data.

It shows data in consecutive equal intervals.

It displays data in a tabular form.

It uses lines to connect data points.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a histogram, what does the height of a bar represent?

The sum of all data points.

The total number of data points.

The frequency of data within an interval.

The average value of data points.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How are intervals in a histogram typically structured?

They vary in size.

They are determined by the median.

They are based on the mean of data.

They are equal in size.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in constructing a histogram?

Determine the range of data.

Calculate the mean of data.

List all data points.

Identify the mode of data.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When constructing a histogram, what should you do after determining the range?

Divide the range into equal intervals.

Draw the bars.

Calculate the median.

List the data points.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a histogram, what does a taller bar indicate?

A higher frequency of data.

A wider range of data.

A lower frequency of data.

A smaller range of data.

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