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Fun Scatterplot Project: Infectious Diseases
Fun Scatterplot Project: Infectious Diseases
Fun Scatterplot Project: Infectious Diseases
Fun Scatterplot Project: Infectious Diseases
Fun Scatterplot Project: Infectious Diseases
Fun Scatterplot Project: Infectious Diseases
Fun Scatterplot Project: Infectious Diseases
Fun Scatterplot Project: Infectious Diseases
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Description

Hello! This fun project helps kids understand the importance of scatterplots and trends in connection to infectious diseases. It is a self-directed project with step by step directions so students know what is expected of them. 4 options are given, allowing students to choose which disease they prefer to focus on. They graph the data, analyze a best fit line, then answer rigorous analysis questions. My students love this project as it sparks interesting conversations about the "scariest" infectious diseases. Data was gathered from the CDC and WHO aligned websites.

Check out my Scatterplots Bundle for more resources!

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Fun Scatterplot Project: Infectious Diseases

SkewLines
277 Followers
$2.00

Highlights

Digital downloads
Grades icon
Grades
8th
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Standards
Pages
4
Answer Key
Not Included
Teaching Duration
45 minutes

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This bundle includes a multitude of resources that can be used flexibly to meet the needs of your students. Such products include Stations, Projects, Guided Notes, Vocabulary Sorts, Exit Tickets, Homework, and general Practice Problems. The materials are common-core aligned and accessible to student
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Description

Hello! This fun project helps kids understand the importance of scatterplots and trends in connection to infectious diseases. It is a self-directed project with step by step directions so students know what is expected of them. 4 options are given, allowing students to choose which disease they prefer to focus on. They graph the data, analyze a best fit line, then answer rigorous analysis questions. My students love this project as it sparks interesting conversations about the "scariest" infectious diseases. Data was gathered from the CDC and WHO aligned websites.

Check out my Scatterplots Bundle for more resources!

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

4.8
Rated 4.83 out of 5, based on 12 reviews
12
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Rated 5 out of 5
September 21, 2024
This was a fun way to assess my students understanding of the material.
Samantha Intorre
(TPT Seller)
349 reviews
Grades taught: 7th, 8th
Rated 5 out of 5
July 29, 2024
Loved this resource for my kiddos. Thank you for a job well done.
Shannon Pilato
(TPT Seller)
834 reviews
Rated 5 out of 5
February 1, 2023
This was a great way to connect content and real life.
Renae B.
306 reviews
Grades taught: 8th
Rated 5 out of 5
March 7, 2022
Great Stem activity to use with scatter plots.
95 reviews
Grades taught: 8th
Rated 4 out of 5
June 14, 2021
Very applicable to real-life! Easy to understand.
StephanieS
(TPT Seller)
227 reviews
Grades taught: 8th
Rated 5 out of 5
March 30, 2021
Great! Kids loved it.
579 reviews
Grades taught: 8th
Rated 5 out of 5
January 1, 2021
great
Hobie H.
1,425 reviews
Grades taught: 7th
Rated 4 out of 5
December 2, 2020
Thank You!
Maggie Weis
(TPT Seller)
680 reviews
Grades taught: 7th

Questions & Answers

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Standards

to see state-specific standards (only available in the US).
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
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