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Theoretical vs. Experimental Probability PowerPoint Lesson

Rated 4.5 out of 5, based on 2 reviews
4.5 (2 ratings)
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Mister Math
453 Followers
Grade Levels
6th - 9th
Subjects
Standards
Formats Included
  • PPTX
Pages
21 Slides
$3.00
$3.00
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Mister Math
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What educators are saying

Awesome resource! The lesson had plenty of detailed examples to model and have my students practice with. Had everything I was looking for to teach my lesson on theoretical vs. experimental probability!
Also included in
  1. This BUNDLE includes a PowerPoint Lesson and a corresponding Guided Notes Packet to assist students in learning about theoretical and experimental probability. Students will learn the concepts of theoretical and experimental probability, as well as how to find the probabilities of each. Plenty of re
    Price $3.75Original Price $5.25Save $1.50
  2. This Probability MEGA BUNDLE is just what you've been looking for to assist students in learning about likelihood, simple probability, and experimental/theoretical probability! Included in this bundle, you will find:Outcomes & Events PowerPoint LessonOutcomes & Events Guided Notes (coincides
    Price $15.99Original Price $29.70Save $13.71

Description

This is a PowerPoint Presentation to assist students in learning about theoretical and experimental probability. Students will learn the concepts of theoretical and experimental probability, as well as how to find the probabilities of each. Overall, the 21-slide PowerPoint Lesson covers the following topics:

  • Theoretical Probability
  • Using Theoretical Probability
  • Experimental Probability
  • Making Predictions
  • Comparing Theoretical & Experimental Probability

Plenty of real-life examples are included to give students ample opportunities to practice the skills. The presentation also comes fully animated, with animations triggered by mouse click!

CLICK HERE TO CHECK OUT MY OTHER POWERPOINT LESSONS!

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Total Pages
21 Slides
Answer Key
Included
Teaching Duration
N/A
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Standards

to see state-specific standards (only available in the US).
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.
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.
Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of the discrepancy.
Develop a uniform probability model by assigning equal probability to all outcomes, and use the model to determine probabilities of events. For example, if a student is selected at random from a class, find the probability that Jane will be selected and the probability that a girl will be selected.
Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. For example, find the approximate probability that a spinning penny will land heads up or that a tossed paper cup will land open-end down. Do the outcomes for the spinning penny appear to be equally likely based on the observed frequencies?

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