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Gambler Example

Open the workspace below and complete the IPython notebook.

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The cells that will be graded are marked with the tag #grade. Do not delete that line and/or cell, or the autograder will not be able to find your solution. Once you complete each one of the #grade cells, you can click "Save & Grade" to see if you got the correct solution.

To get points for this question, you will need to define the following variables inside the notebook:

Name	Type	Description
`G`	2d numpy array	markov matrix G
`xstar2`	1d numpy array	probability of winning and losing

Note: this is an example of a question including JupyterLab for a collaborative learning activity. Read more here.

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Question

QID:

demo/annotated/MarkovChainGroupActivity/MarkovChains-Gambler

Title:

Gambler Example

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Started at:

2026-08-04 21:49:57 (CDT)

Duration:

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