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Micro:bit An Introduction
Micro:bit An Introduction
Micro:bit An Introduction
Micro:bit An Introduction
Micro:bit An Introduction
Micro:bit An Introduction
Micro:bit An Introduction
Micro:bit An Introduction
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Description

In these lessons you will use the Micro:bit simulator to create a coin toss game and a dice game. Use these games to teach randomness and probability. The skills learned in the simulator are fully applicable to the physical Micro:bit.

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Micro:bit An Introduction

Rated 5 out of 5, based on 1 reviews
5.0 (1 rating)
$4.99

Highlights

Digital downloads
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Grades
2nd - 12th, Adult Education, Higher Education
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Standards
Pages
28

Description

In these lessons you will use the Micro:bit simulator to create a coin toss game and a dice game. Use these games to teach randomness and probability. The skills learned in the simulator are fully applicable to the physical Micro:bit.

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.

Reviews

5.0
Rated 5 out of 5, based on 1 reviews
1
rating
All verified TPT purchases
Rated 5 out of 5
May 21, 2022
Great resource for grade 9 robotics.
JT H.
1,226 reviews
Grades taught: 9th

Questions & Answers

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Standards

to see state-specific standards (only available in the US).
Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
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.
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