# C2

rename
fickernuit's
version from
2017-06-27 03:15

## Section

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

Hypothesis Testing | is a statistical procedure that uses sample data to determine whether a statement about the value of a population parameter should or should not be rejected |

Type I Error | The error of rejecting Ho when it is true |

Type II Error | The error of accepting Ho when it is false. |

The Level of Significance | is the probability of making a Type I error when the null hypothesis is true as an equality |

Significance Tests | applications of hypothesis testing that only control for the Type I error. |

Test Statistic | is a statistic whose value helps determine whether a null hypothesis should be rejected. (z or t) |

P-value approach | is a probability that provides a measure of the evidence against the null hypothesis provided by the sample |

Critical Value Approach | is a value that is compared with the test statistic to determine whether Ho should be rejected. |

## Recent badges

## Pages linking here (main versions and versions by same user)

No other pages link to this page. See Linking Quickstart for more info.