Description | Probability Term |

A diagram of conditional events or probabilities that shows all outcomes of a situation | |

A variable whos numeric value is based on the outcome of a random event | |

When all the outcomes of a random variable can be listed, it is _____ | |

The collection of all the possible values and probabilities that can occur for a random variable | |

The sum of all possible outcomes multiplied by the probability that each outcome will occur | |

The expected value of the squared deviations from the mean | |

The square root of the variance | |

Probability model that counts the number of Bernoulli trials until the first success | |

Probability model that that counts the number of the successes in a fixed number of Bernoulli trials | |

The sample must be less than ten percent of the population | |

np>10, nq>10 | |

Value of Random phenomenon | |

Probability model that counts the number of heads in 5 coin flips (include 'model') | |

If A abd B are mutually exclusive events where A=0.5 and B=0.3, what is the probability of A or B ocurring? | |

If the variance of a data set is 25, what is the standard deviation? | |

If the probabilitaty that event A will occur is .16, what is the probability that A will not occur? | |

Is the random variable amount of money discrete or continuous? (include 'variable') | |

Does the sample size 40 and the probabilities p=.2 and q=.8 satisfy the success failure rule? | |

as the number of independent trials increases the long run frequency of repeated events gets closer and closer to a single value | |

The sample space of two independent probabilities with no other possible outcomes is what? | |

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