Experimental Probability and Making Predictions in a PowerPoint Presentation

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2.71 MB   |   *46 pages

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Experimental Probability and Making Predictions in a PowerPoint Presentation

This slideshow lesson is very animated with a flow-through technique. I developed it for my Algebra 1 class, but can be used for lower grades as well. This lesson teaches how to Find the experimental probability of an event and to be able to make predictions based off of past data.


The presentation has 46 slides with LOTS of whiteboard practice. Use as many or as few of the problems to help your students learn each concept. For more PowerPoint lessons & materials visit:


http://www.teacherspayteachers.com/Store/Preston-Powerpoints


Students often get lost in multi-step math problems. This PowerPoint lesson is unique because it uses a flow-through technique, guided animation, that helps to eliminate confusion and guides the student through the problem. The lesson highlights each step of the problem as the teacher is discussing it, and then animates it to the next step within the lesson. Every step of every problem is shown, even the minor or seemingly insignificant steps. A helpful color-coding technique engages the students and guides them through the problem (Green is for the answer, red for wrong or canceled numbers, & blue, purple & sometimes orange for focusing the next step or separating things.) Twice as many examples are provided, compared to a standard textbook. All lessons have a real-world example to aid the students in visualizing a practical application of the concept.

This lesson applies to the Common Core Standard:
Introduction into Sampling and Inference 7.SP
Investigate chance processes and develop, use, and evaluate probability models.
6. 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.

7b. 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?

Please note that the PowerPoint is not editable.

If you need an alternative version because your country uses different measurements, units, slight wording adjustment for language differences, or a slide reordering just ask.

This resource is for one teacher only. You may not upload this resource to the internet in any form. Additional teachers must purchase their own license. If you are a coach, principal or district interested in purchasing several licenses, please contact me for a district-wide quote at prestonpowerpoints@gmail.com. This product may not be uploaded to the internet in any form, including classroom/personal websites or network drives.

*This lesson contains 24 problems. Each problem in this lesson uses several pages in order to achieve the animated flow-through technique.
Total Pages
*46
Answer Key
N/A
Teaching Duration
50 Minutes

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Experimental Probability and Making Predictions in a Power
Experimental Probability and Making Predictions in a Power
Experimental Probability and Making Predictions in a Power
Experimental Probability and Making Predictions in a Power