Random vs. Non-Random Samples Quick Color

Grade Levels
6th - 9th
Subjects
Standards
Formats Included
  • PDF
Pages
1 student worksheet plus answer key
$1.50
$1.50
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  1. This math bundle contains 14 of my quick color products all related to 7th grade math standards. Quick colors are a fun, engaging student product where students are able to color their answers! Save 25% when you purchase this bundle. Included in the purchase are:Ratios and Proportional Relationsh
    $15.75
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Description

This ready to use product is a quick, fun way to have your students practice the differentiating between random and non-random samples. Students will be 15 problems and will need to classify each one as random or non-random. Instead of writing their answers, students will color them! You can either choose the colors for them to make it unified across the classroom or let them choose their own. This makes a great visual for your visual learners. This is an extremely easy assignment to grade! It is perfect for guided practice, homework, or re-teaching.

***SAVE MONEY AND PURCHASE MY 7TH GRADE QUICK COLOR BUNDLE!!***
You receive 14 fabulous quick colors at a 25% discount. This product is included. Click below.
7th Grade Math Quick Color Bundle

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This purchase is for one teacher only. Additional licenses are available at a discounted price.
Total Pages
1 student worksheet plus answer key
Answer Key
Included
Teaching Duration
30 minutes
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Standards

to see state-specific standards (only available in the US).
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.
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.

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