# MA 41600, Spring 2023

Probability

Credit Hours: 3.00. (STAT 41600) An introduction to mathematical probability suitable as a preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability and Bayes theorem, discrete and continuous random variables, moments and moment generating functions, joint and conditional distributions, standard discrete and continuous distributions and their properties, law of large numbers and central limit theorem.

## Instructor Info

### Course Materials

Section |
Type |
Title |
Author |

165, 166 |
TEXT |
Probability and Statistics: The Science of Uncertainty |
Jim Pitman |

165, 166 |
TEXT |
Probability |
Jim Pitman |

167, 168 |
TEXT |
Introduction to Mathematical Statistics |
Robert Hogg, Joseph McKean, Allen Craig |

167, 168 |
TEXT |
Introduction to Mathematical Statistics |
Robert V. Hogg,Joseph W. McKean,Allen T. Craig |

170, 171, 172, 173 |
TEXT |
A First Course in Probability |
Sheldon Ross |

172 |
TEXT |
Introduction to Probability Models |
Sheldon Ross |

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