Understanding Stem and Leaf Displays

Understanding Stem and Leaf Displays

Assessment

Interactive Video

Mathematics

6th - 7th Grade

Hard

Created by

Thomas White

FREE Resource

This video tutorial explains how to create a stem and leaf display to organize and visualize quantitative data. It begins with an introduction to the concept, followed by a detailed explanation of how to use stems to categorize data. The tutorial then provides a step-by-step guide to creating a stem and leaf display using example data. Finally, it summarizes the key points and benefits of using this method for data visualization.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of using a stem and leaf display?

To organize and better understand quantitative data

To create a visual art piece

To make data look more complex

To hide data from others

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When creating a stem and leaf display, what determines the 'stem'?

The total number of digits

The first two digits of the number

The first digit of the number

The last digit of the number

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why was using the first digit as the stem not ideal in this example?

It would make the display too colorful

It would result in all numbers falling into the same category

It would make the display too complex

It would require more calculations

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the example, what are the leaves for the stem '12'?

3, 7

0, 7, 9, 9

1, 4, 8, 9

2, 4, 8, 9, 9

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which stem has only one leaf in the given example?

14

16

10

15

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the 'leaf' represent in a stem and leaf display?

The total number of bins

The end of the numbers in each bin

The average of the numbers in each bin

The start of the numbers in each bin

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data is best displayed using a stem and leaf plot?

Quantitative data

Nominal data

Categorical data

Qualitative data