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fix(curriculum): fitting an instruction text to fcc document (#46866) 

* fix: fitting an instruction text to fcc document

* Update curriculum/challenges/english/07-scientific-computing-with-python/scientific-computing-with-python-projects/probability-calculator.md

Co-authored-by: Sem Bauke <semboot699@gmail.com>

Co-authored-by: Sem Bauke <semboot699@gmail.com>
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Manabu Matsumoto 2022-07-12 20:15:58 +09:00 committed by GitHub
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curriculum/challenges/english/07-scientific-computing-with-python/scientific-computing-with-python-projects/probability-calculator.md
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@ -37,7 +37,7 @@ Next, create an `experiment` function in `prob_calculator.py` (not inside the `H
The `experiment` function should return a probability.
For example, let's say that you want to determine the probability of getting at least 2 red balls and 1 green ball when you draw 5 balls from a hat containing 6 black, 4 red, and 3 green. To do this, we perform `N` experiments, count how many times `M` we get at least 2 red balls and 1 green ball, and estimate the probability as `M/N`. Each experiment consists of starting with a hat containing the specified balls, drawing a number of balls, and checking if we got the balls we were attempting to draw.
For example, if you want to determine the probability of getting at least two red balls and one green ball when you draw five balls from a hat containing six black, four red, and three green. To do this, you will perform `N` experiments, count how many times `M` you get at least two red balls and one green ball, and estimate the probability as `M/N`. Each experiment consists of starting with a hat containing the specified balls, drawing several balls, and checking if you got the balls you were attempting to draw.
Here is how you would call the `experiment` function based on the example above with 2000 experiments: