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Computational Thinking: Coding a Coin Flipper With Scratch

Computational Thinking: Coding a Coin Flipper With Scratch
Computational Thinking: Coding a Coin Flipper With Scratch
Computational Thinking: Coding a Coin Flipper With Scratch
Computational Thinking: Coding a Coin Flipper With Scratch
Computational Thinking: Coding a Coin Flipper With Scratch
Computational Thinking: Coding a Coin Flipper With Scratch
Computational Thinking: Coding a Coin Flipper With Scratch
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329 KB|10 pages
Product Description
In this activity students will code a coin flipper that demonstrates the Law of Large Numbers.
Flipping the coin with the “turbo” button expedites the flips in a short period of time to demonstrate theoretical and experimental probability.

Overall Expectations:
• use probability models to make predictions about real-life events;

Specific Expectations:
• compare, through investigation, the theoretical probability of an event (i.e., the ratio of the number of ways a favourable outcome can occur compared to the total number of possible outcomes) with experimental probability, and explain why they might differ;
• determine, through investigation, the tendency of experimental probability to approach theoretical probability as the number of trials in an experiment increases, using class-generated data and technology-based simulation models;
Total Pages
10 pages
Answer Key
Included
Teaching Duration
1 hour
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