Question
To use this lens focus on the parts of your game that involve randomness and risk, keeping in mind that those two things are not the same.Ask yourself these questions:Would changing my probability distribution curves improve my game?
Step 1
In a game, probability distribution curves represent the likelihood of different outcomes occurring. For example, in a dice game, the probability distribution curve would show the chances of rolling each number. Now, the question asks whether changing the Show more…
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Section 2: Create game: Create a game using the probability techniques learned in this course with 5 to 10 outcomes. You can choose any cost you would like for the player, but your game must be profitable and engaging. In this section, you will communicate rules (which will be shared with the class), create the theoretical probability distribution, and expected value with bar graphs. Section 3: Test your game: Play your game 100 times and create the experimental probability distribution, expected value, and bar graph. Compare the distribution, bar graph, and expected value to the theoretical.
Section 2: Create a game: Create a game using the probability techniques learned in this course with 5 to 10 outcomes. You can choose any cost you would like for the player, but your game must be profitable and engaging. In this section, you will communicate rules (which will be shared with the class), create the theoretical probability distribution and expected value with bar graphs. Section 3: Test your game: Play your game 100 times and create the experimental probability distribution, expected value and bar graph. Compare the distribution, bar graph and expected value to the theoretical.
Section 2: Make a game: make a game using the probability techniques learned in this course with 5 to 10 outcomes. You can choose any cost you would like for the player, but your game must be profitable and engaging. In this section, you will communicate rules (which will be shared with the class), create the theoretical probability distribution and expected value with bar graphs. Section 3: Test your game: Play your game 100 times and create the experimental probability distribution, expected value and bar graph. Compare the distribution, bar graph and expected value to the theoretical.
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