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Simple Probability Digital Pixel
Simple Probability Digital Pixel
Simple Probability Digital Pixel
Simple Probability Digital Pixel
Simple Probability Digital Pixel
Simple Probability Digital Pixel
Simple Probability Digital Pixel
Simple Probability Digital Pixel
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Description

Let your students practice while having fun with this engaging no-prep and self-checking solving Simple Probability. Students will solve 10 problems involving Probability with Excel. I used this activity as a mixed review for my 7th grade students' upcoming exam over Probability. As students answer each part of the question correctly pieces of the picture appear. PLEASE NOTE, Answer KEY is included on SHEET 2 of the Google Excel Sheet.

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Simple Probability Digital Pixel

Digital Meets Math
16 Followers
$3.00

Highlights

Digital downloads
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Grades
6th - 7th
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Standards
Answer Key
Included
Teaching Duration
40 minutes

Description

Let your students practice while having fun with this engaging no-prep and self-checking solving Simple Probability. Students will solve 10 problems involving Probability with Excel. I used this activity as a mixed review for my 7th grade students' upcoming exam over Probability. As students answer each part of the question correctly pieces of the picture appear. PLEASE NOTE, Answer KEY is included on SHEET 2 of the Google Excel Sheet.

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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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 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.
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