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2. | probability determining using mathematical methods to model outcomes of a given situation. |

4. | events that affect each other. |

5. | the probability of an event under the condition that some preceding event has occurred. |

7. | events that do not affect each other. |

8. | if event M can occur in m ways and is followed by an event N that can occur in n ways, then the event m followed by the event N can occur in m times n ways. |

10. | a technique used to model probability experiments for real- world applications. |

11. | the investigation of the different possibilities for the arrangement of objects. |

12. | the problem that can be solved using binomial expansion. |

13. | two events whose outcomes can never be the same. |

15. | the measure of the chance of a desired outcome happening. |

17. | the desired outcome of an event. |