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# MEASURE OF CENTER (Mean, Median) PowerPoint Lesson & Practice |Distance Learning

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Exceeding the CORE
5.7k Followers
5th - 7th, Homeschool
Subjects
Resource Type
Standards
Formats Included
• Zip
Pages
9 pages
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Exceeding the CORE
5.7k Followers
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### Description

Great for online learning and distance learning!

Get your students successfully finding the MEASURE OF CENTER (Mean and Median) with this PowerPoint Presentation. This lesson begins with a focused mini-lesson and guided practice questions. It concludes with a lesson quiz and exit ticket to assess student understanding. All of the answers are included. This PowerPoint presentation is 100% editable, therefore you can modify any slide as needed.

What is Included:

_ Mini-Lesson with Guided Practice

The mini-lesson includes essential vocabulary and key terms for this topic. Students are guided through scaffolded instruction with guided practice questions for each lesson objective. All of the math problems are worked out step-by-step with detailed explanations.

_ Lesson Quiz

The lesson ends with a lesson quiz that includes questions from each topic of this lesson. This is a perfect tool to assess your students understanding of this lesson. Have students complete these questions individually or with a partner.

_ Exit Ticket

An exit ticket question is included at the end of the presentation. Have students write the answer on a post-it or index card and turn it in to you on their way out the door.

Topics Covered:

✔ Find the mean.

✔ Find the median.

✔ Compare the mean and median.

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Total Pages
9 pages
Included
Teaching Duration
45 minutes
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### Standards

to see state-specific standards (only available in the US).
Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. For example, decide whether the words in a chapter of a seventh-grade science book are generally longer than the words in a chapter of a fourth-grade science book.