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Histogram Class Boundaries and Frequencies

Histogram Class Boundaries and Frequencies

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Practice Problem

Hard

Created by

Thomas White

FREE Resource

This video tutorial explains how to construct a histogram, a type of graph that visually represents a data frequency distribution. It covers the differences between histograms and bar graphs, the setup of x and y axes, calculation of class boundaries, and the process of drawing and labeling histogram bars. The tutorial provides a step-by-step guide to creating a histogram from a frequency distribution table, ensuring that the bars touch each other without gaps.

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16 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key difference between a histogram and a vertical bar graph?

Histograms are used for qualitative data.

Vertical bar graphs are always horizontal.

Histograms represent data frequency distribution.

Histograms have gaps between bars.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in creating a frequency distribution?

Calculating the mean of the data.

Drawing the histogram.

Labeling the axes.

Breaking down data into classes or intervals.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should be labeled at the intersection of the x and y axes?

The data set title.

The zero point.

The class boundaries.

The highest frequency value.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the largest frequency value in the example table?

10

5

25

20

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in drawing a histogram?

Filling in the bars.

Drawing an x and y axis.

Calculating class boundaries.

Labeling the frequency.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why do we calculate class boundaries for a histogram?

To ensure bars in a histogram touch each other.

To determine the color of the bars.

To create gaps between the bars.

To label the y-axis.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should you do if the data is all whole numbers when calculating class boundaries?

Leave the limits as they are.

Subtract 0.5 from the lower limits and add 0.5 to the upper limits.

Subtract 1 from the lower limits.

Add 1 to the upper limits.

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