Theoretical vs. Experimental Probability Anchor Chart Poster

Theoretical vs. Experimental Probability Anchor Chart Poster
Theoretical vs. Experimental Probability Anchor Chart Poster
Theoretical vs. Experimental Probability Anchor Chart Poster
Theoretical vs. Experimental Probability Anchor Chart Poster
Grade Levels
File Type

PDF

(469 KB|1 page)
Product Rating
4.0
(3 Ratings)
Standards
  • Product Description
  • StandardsNEW

Theoretical vs. Experimental Probability Anchor Chart Poster

This anchor chart poster is a great tool to display in your classroom or distribute to your students to place in their interactive notebooks and/or binder. This anchor chart is compares experimental and theoretical probability. It defines the terms and provides a helpful example. This anchor chart is aligned with the 7th grade Probability and Statistics Common Core standards.

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HOW TO USE:

This anchor chart can be printed on a regular 8.5 x 11 inch printing paper and placed in student notebooks, or printed as a half-page making an excellent resource for students interactive notebook.

You can also scale the PDF file and print it on poster size paper and display it within your classroom. That is how I use my anchor charts.

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WHATS INCLUDED:

★ Definition of Theoretical Probability

★ Definition of Experimental Probability

★ Example of Theoretical Probability

★ Example of Experimental Probability

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Mean, Median, Mode, Range Anchor Chart Poster

Area of Polygons Formulas

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LICENSING TERMS: This purchase includes a license for one teacher only for personal use in their classroom. Licenses are non-transferable, meaning they can not be passed from one teacher to another. No part of this resource is to be shared with colleagues or used by an entire grade level, school, or district without purchasing the proper number of licenses.

COPYRIGHT TERMS: This resource may not be uploaded to the internet in any form, including classroom/personal websites or network drives, unless the site is password protected and can only be accessed by students.

Log in to see state-specific standards (only available in the US).
Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.
Understand that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring. Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around 1/2 indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event.
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.
Total Pages
1 page
Answer Key
N/A
Teaching Duration
N/A
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