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 understand quantitative data. It begins with an introduction to the concept, followed by a detailed explanation of how to use stems to categorize data. The video then provides a step-by-step guide to creating a stem and leaf display, using the first two digits of numbers as stems and listing the remaining digits as leaves. Finally, the video concludes with a summary of the key learnings, emphasizing the importance of this method in data visualization.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

It reduces the size of the data.

It makes data more colorful.

It changes the data values.

It helps in better understanding and organizing data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why was the decision made to use two-digit stems instead of one-digit stems?

To make the display more complex.

To ensure all numbers fall into the same category.

To simplify the display.

To create more interesting and varied categories.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the stem for the number 147 in a stem and leaf display?

1

14

47

147

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the example given, which stem has the leaves 0, 7, 9, and 9?

13

12

14

15

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many leaves are associated with the stem 15 in the example?

4

1

2

3

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

The start of the numbers in each bin.

The middle of the numbers in each bin.

The end of the numbers in each bin.

The total 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?

Categorical data

Nominal data

Qualitative data

Quantitative data