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TZUNTIL:20151025T010000Z
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DTSTART:20131027T030000
TZOFFSETFROM:+0200
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RDATE:20141026T030000
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DTSTART:20140330T020000
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DTSTAMP:20260805T132033Z
DESCRIPTION:Nowadays\, statistical hypothesis testing is a key tool in stat
 istical data analysis. It was originally developed only for special applic
 ations\, e.g.\, in industrial quality control but is standardly used in mo
 st natural and social sciences now. Statisticians are more and more critic
 al of the excessive and often abusive use of statistical tests and it is a
 n interesting fact that Fisher (one of the inventors of statistical testin
 g) even held the opinion that using statistical tests in science does not 
 makes sense at all. Contrary to statisticians\, mathematicians like hypoth
 esis testing because it leads to nice optimization problems which can ofte
 n be solved by beautiful mathematics. Also scientists like testing because
  it seems to give denite answers (\there is a highly signicant eect') to c
 omplicated research questions. However\, this is a misunderstanding. Answe
 rs provided by statistical tests are complex and frequently misinterpreted
 . And the questions which are answered by performing statistical tests are
  often inappropriate and dier from the interesting questions which should 
 have been asked.\nIn the talk\, we will discuss these problems when dealin
 g with statistical testing and identify examples of tests which should gen
 erally be avoided. In addition\, we will also discuss alternatives to stat
 istical testing. The talk is addressed to practitioners. A detailed prior 
 knowledge of statistics or mathematics is not necessary but some practical
  experience with statistical testing will be helpful.
DTSTART;TZID=Europe/Berlin:20140407T161500
DTEND;TZID=Europe/Berlin:20140407T235959
LOCATION:S 135\, NW III
SUMMARY:PD Dr. Robert Hable\, Lehrstuhl für Stochastik\, Mathematisches Ins
 titut der Universität Bayreuth (Homepage): Avoiding Complex Answers to Tri
 vial Questions: A Modern View On Statistical Hypothesis Testing and Practi
 cal Data Analysis
TRANSP:TRANSPARENT
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