## Seminar: Model Assumptions and Truth in Statistics

Speaker | Christian Hennig |
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Affiliation | University College London, Statistics |

Date | Thursday, 07 May 2015 |

Time | 16:00 - 17:00 |

Location | Room 102, 1-19 Torrington Place, Department of Statistical Science |

Event series | Statistical Science Seminars |

Description |
The way statistics is usually taught and statistical analyses are usually presented can easily seem mysterious. For example, statisticians use methods that assume the data to be normally distributed, and they insist that this assumption needs to be tested for the analysis to be justified, but the same statisticians would also state on another day that they don't believe any such model assumption to be true anyway. Does it make sense to test an assumption that we don't believe to hold regardless of the outcome of the test, and does it make sense to build our methodology on such assumptions? |

iCalendar | csml_id_233.ics |