Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.

Normal Size Small Size show me how

Normal Size Small Size show me how

# PACE 5th 6 Weeks

Question | Answer |
---|---|

compound probability | the probability of two or more events occurring |

dependent even | events in which the outcome of one event does affect the outcome of the other event or events. |

experimental probability | the ratio of the number of favorable results to the total number of trials in a probability experiment; is based on what DOES happen in an experiment |

independent event | two or more events in which the outcome of one event does not affect the outcome of the other event |

random | an outcome of an event is equally likely to occur compared to another outcome. |

sample space | the set of all possible outcomes of a probability event |

simulation | an experiment designed to act out a given situation |

theoretical probability | the ratio of the number of favorable outcomes to the total number of possible outcomes; is based on what should happen under perfect circumstances |

bias | a statistical sampling or testing error caused by systematically favoring some outcomes over others |

box and whisker plot | a diagram that summarizes data using the median, the upper and lower quartiles, and the extreme values. |

inference | refers to drawing a conclusion from data |

outlier | a piece or pieces of data that lie out from the rest of the data (high or low) that can skew (affect) the mean; extreme data that is more than 1.5 more times the interquartile range from the upper or lower quartiles |

quartile | values that divide a set of data into four equal parts |

sample | randomly selected group chosen for the purpose of collecting data |

scatter plot | compares two sets of data to see relationships |

trend | a general direction either upward or downward is called |

trend line | in a scatterplot, a line that closely fits the data points. |

validity | in an experiment, there were no biases or unjust sampling when collecting the data |

Created by:
Robin Greene