Re: Error Bars ( 95 % CI or SE) (Kim White )


Subject: Re: Error Bars ( 95 % CI or SE)
From:    Kim White  <kimwhite2@xxxxxxxx>
Date:    Sun, 11 Dec 2011 10:53:08 +0100
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

--00163630f4bb3ded4a04b3cdfc6c Content-Type: text/plain; charset=ISO-8859-1 Coming back to the original question: CI's are calculated with a formula with the CE in it... They are different ways of plotting the same results. Best, Kim White 2011/12/11 Stuart Rosen <s.rosen@xxxxxxxx> > Let me put forward a dissenting opinion. What you should display in your > graph is neither of these but a boxplot which will give a true picture of > the distribution of values that you found rather than a statistical > inference which depends as much on the number of participants you used as > any difference in performance between the two groups. You are going to do a > statistical test anyway (and you could quote an effect size) so why waste > the opportunity to give more information? > > Yours - Stuart Rosen > > > On 11/12/2011 01:18, Vijay M R Marimuthu wrote: > >> When we have a d' group result (between 2 experiments), >> A. Which ERROR BAR is most appropriate to use (Binomial Distribution) ? >> 95 % confidence Interval or Standard Errors of the Mean. >> > --00163630f4bb3ded4a04b3cdfc6c Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable <div>Coming back to the original question:=A0</div><div>CI&#39;s=A0are calc= ulated with a formula with the CE in it... They are different ways of plott= ing the same results.=A0</div><div>=A0</div><div>Best, Kim White<br></div><= div class=3D"gmail_quote"> 2011/12/11 Stuart Rosen <span dir=3D"ltr">&lt;<a href=3D"mailto:s.rosen@xxxxxxxx= .ac.uk">s.rosen@xxxxxxxx</a>&gt;</span><br><blockquote style=3D"margin:0px= 0px 0px 0.8ex;padding-left:1ex;border-left-color:rgb(204,204,204);border-l= eft-width:1px;border-left-style:solid" class=3D"gmail_quote"> Let me put forward a dissenting opinion. What you should display in your gr= aph is neither of these but a boxplot which will give a true picture of the= distribution of values that you found rather than a statistical inference = which depends as much on the number of participants you used as any differe= nce in performance between the two groups. You are going to do a statistica= l test anyway (and you could quote an effect size) so why waste the opportu= nity to give more information?<br> <br> Yours - Stuart Rosen<div><div></div><div class=3D"h5"><br> <br> On 11/12/2011 01:18, Vijay M R Marimuthu wrote:<br> <blockquote style=3D"margin:0px 0px 0px 0.8ex;padding-left:1ex;border-left-= color:rgb(204,204,204);border-left-width:1px;border-left-style:solid" class= =3D"gmail_quote"> When we have a d&#39; group result (between 2 experiments),<br> A. Which ERROR BAR is most appropriate to use (Binomial Distribution) ?<br> 95 % confidence Interval or Standard Errors of the Mean.<br> </blockquote> </div></div></blockquote></div><br> --00163630f4bb3ded4a04b3cdfc6c--


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