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Analyzing Data Nearpod (Lesson Plan Included)
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Description

This Nearpod* activity is an introduction to analyzing data that works to either introduce the topic or review the key points. It starts by reviewing the two kinds of data (qualitative and quantitative) and common graphs (Line, Bar/Histogram, Dot Plots). Then it explores how to read a graph to see trends (positive/negative/no relationship) and gives students opportunities to practice reading graphs to identify whether there is a trend.

What's Included:

In addition to the Nearpod (9 slides), this download includes a student worksheet (1 page, double-sided) that can be completed together (guided notes) or independently by the students (in-class/homework). It also includes a slide-by-slide facilitation (1 page, double-sided) and 15 vocabulary cards that can be printed for a word wall or used as a digital reference.

A 4-question formative assessment is included in the Nearpod as well as a gamified closing activity.

*Students do not need to have Nearpod accounts to participate in this lesson. Accounts are only needed if you want to be able to download a report and track data using the Nearpod premium features.

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Analyzing Data Nearpod (Lesson Plan Included)

Rated 5 out of 5, based on 1 reviews
5.0 (1 rating)
JackMcHair
63 Followers
$1.00

Highlights

Digital downloads
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Grades
Not Specific
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Standards
Pages
17
Answer Key
Included
Teaching Duration
45 minutes

Description

This Nearpod* activity is an introduction to analyzing data that works to either introduce the topic or review the key points. It starts by reviewing the two kinds of data (qualitative and quantitative) and common graphs (Line, Bar/Histogram, Dot Plots). Then it explores how to read a graph to see trends (positive/negative/no relationship) and gives students opportunities to practice reading graphs to identify whether there is a trend.

What's Included:

In addition to the Nearpod (9 slides), this download includes a student worksheet (1 page, double-sided) that can be completed together (guided notes) or independently by the students (in-class/homework). It also includes a slide-by-slide facilitation (1 page, double-sided) and 15 vocabulary cards that can be printed for a word wall or used as a digital reference.

A 4-question formative assessment is included in the Nearpod as well as a gamified closing activity.

*Students do not need to have Nearpod accounts to participate in this lesson. Accounts are only needed if you want to be able to download a report and track data using the Nearpod premium features.

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

Reviews

5.0
Rated 5 out of 5, based on 1 reviews
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rating
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Rated 5 out of 5
August 4, 2024
This is a great resource for my students. Thank you!
patricia B.
219 reviews
Grades taught: 8th

Questions & Answers

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Standards

to see state-specific standards (only available in the US).
Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.
Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
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.
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