BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Australia/Brisbane
BEGIN:STANDARD
DTSTART:19920301T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20220612T234005Z
UID:6FD67F3D-3F26-4735-B3F3-7A31CC49528F
DTSTART;TZID=Australia/Brisbane:20220607T173000
DTEND;TZID=Australia/Brisbane:20220607T193000
DESCRIPTION:This month Andrew Smith will be discussing the "Statement on St
 atistical Significance and P-Values" by the American Statistical Associati
 on.\n\nKey points will be:\n\n- P-values can indicate how incompatible the
  data are with a specified statistical model.\n- P-values do not measure t
 he probability that the studied hypothesis is true\, or the probability th
 at the data were produced by random chance alone.\n- Scientific conclusion
 s and business or policy decisions should not be based only on whether a p
 -value passes a specific threshold.\n- Proper inference requires full repo
 rting and transparency.\n- A p-value\, or statistical significance\, does 
 not measure the size of an effect or the importance of a result.\n- By its
 elf\, a p-value does not provide a good measure of evidence regarding a mo
 del or hypothesis.\n\nfrom the press release: [https://www.amstat.org/asa/
 files/pdfs/p-valuestatement.pdf](https://protect-au.mimecast.com/s/BbOGCp8
 A57TnpRpBiPwoDG?domain=amstat.org)\n\nthis statement is available here:\n\
 nRonald L. Wasserstein & Nicole A. Lazar (2016) the ASA Statement on p-Val
 ues: Context\, Process\, and Purpose\, The American Statistician\, 70:2\, 
 129-133\, DOI: 10.1080/00031305.2016.1154108\n\n[https://doi.org/10.1080/0
 0031305.2016.1154108](https://protect-au.mimecast.com/s/BHMVCq7B4Du8JMJofX
 ZtZr?domain=doi.org)\n\nbut note the first part is the editorial the secon
 d part is the statement.\n\nGerman Club\, 416 Vulture St\, East Brisbane\,
  Queensland\, Australia\, 4169
LOCATION:German Club\, 416 Vulture St\, East Brisbane\, Queensland\, Austra
 lia\, 4169
ORGANIZER:mschmidt@fbrice.com.au
SEQUENCE:2
SUMMARY:1TJPC - Statistical Significance and P-Values
URL;VALUE=URI:https://events.vtools.ieee.org/m/315886
X-ALT-DESC:Description: <br /><p>This month Andrew Smith will be discussing
  the "Statement on Statistical Significance and P-Values" by the American 
 Statistical Association.</p>\n<p>Key points will be:</p>\n<ol>\n<li>P-valu
 es can indicate how incompatible the data are with a specified statistical
  model.&nbsp\;</li>\n<li>P-values do not measure the probability that the 
 studied hypothesis is true\, or the probability that the data were produce
 d by random chance alone.&nbsp\;</li>\n<li>Scientific conclusions and busi
 ness or policy decisions should not be based only on whether a p-value pas
 ses a specific threshold.&nbsp\;</li>\n<li>Proper inference requires full 
 reporting and transparency.&nbsp\;</li>\n<li>A p-value\, or statistical si
 gnificance\, does not measure the size of an effect or the importance of a
  result.&nbsp\;</li>\n<li>By itself\, a p-value does not provide a good me
 asure of evidence regarding a model or hypothesis.&nbsp\; &nbsp\;</li>\n</
 ol>\n<p>from the press release: <a href="https://protect-au.mimecast.com/s
 /BbOGCp8A57TnpRpBiPwoDG?domain=amstat.org">https://www.amstat.org/asa/file
 s/pdfs/p-valuestatement.pdf</a></p>\n<p>this statement is available here:&
 nbsp\;</p>\n<p>Ronald L. Wasserstein &amp\; Nicole A. Lazar (2016) the ASA
  Statement on p-Values: Context\, Process\, and Purpose\, The American Sta
 tistician\, 70:2\, 129-133\, DOI: 10.1080/00031305.2016.1154108</p>\n<p><a
  href="https://protect-au.mimecast.com/s/BHMVCq7B4Du8JMJofXZtZr?domain=doi
 .org">https://doi.org/10.1080/00031305.2016.1154108</a></p>\n<p>but note t
 he first part is the editorial the second part is the statement.</p>
END:VEVENT
END:VCALENDAR