Find the Error - Data and Graphs with Central Tendency and Variation
Making Math Meaningful
615 Followers
Grade Levels
5th - 7th
Subjects
Resource Type
Standards
CCSS7.SP.A.1
CCSS7.SP.A.2
CCSS7.SP.B.3
CCSS7.SP.B.4
Formats Included
- PDF
- Easel Activity
Pages
5 pages
Making Math Meaningful
615 Followers
Easel Activity Included
This resource includes a ready-to-use interactive activity students can complete on any device. Easel by TPT is free to use! Learn more.
Description
This is an activity that I created for my students to find the mistake when a student has answered questions from graphs about measures of center and variation incorrectly. I used common errors to help them see the mistakes commonly made. All of my products are common core aligned.
I had the students work alone to solve the problems first, and then share with their groups. If there was any discrepancy, they looked in the answer folder on their tables to see the correct answer. I rotated around monitoring and helping as needed. It was terrific to see the discussions that were going on! This really worked well!
Total Pages
5 pages
Answer Key
Included
Teaching Duration
50 minutes
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Standards
to see state-specific standards (only available in the US).
CCSS7.SP.A.1
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.
CCSS7.SP.A.2
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.
CCSS7.SP.B.3
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.
CCSS7.SP.B.4
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.
Reviews
Questions & Answers
615 Followers
