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# Statistics Def.

### Definitions for Hypothesis Testing

Part1 | Part2 |
---|---|

Hypothesis Test | pertaining to one population for testing a claim about some parameter of the population. |

Null Hypothesis | a statement that the value of a population parameteris equal to some value. |

Alternative Hypothesis | a statement that the population parameter has a value that somehow differs from the value in the null hypothesis. |

Test Statistic | a value that is computed from a sample data. |

Traditional Method | invloves critical values and critical regions. |

P-value Method | involves the calculation of a P-value. |

Critical Region | a set of values of the test statistic that causes us to reject the null hypothesis. |

Significance Level | the probability that the test statistic will fall in the critical region when the null hypothesis is actually true. |

Critical Value | the value that separates the critical region from the non-critical region. |

Two-Tailed | if the sign is H1is not = to. |

Right-Tailed | if the sign is H1>. |

Left-Tailed | if the sign is H1<. |

P-Value | the probability of getting a value of the test statistic that is at least as extreme as the one representing the sample data, assuming the null hypothesis is true. |

Type I Error | if the null hypothesis is true, but we reject it. |

Type II Error | if the null hypothesis is false, but we fail to reject it. |

Created by:
isaxo
on 2005-06-19