R help - Feb 2015 - one sample test

Hi all:
If I want to test whether the mean of a set of normal distributed data is
different from a value(e.g. 0), I can use one sample t test . But if the data is
not normal distributed,what kind of method should be used?


Many thanks!


My best.








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On 05 Feb 2015, at 09:20 , meng <laomeng_3 at 163.com> wrote:
> Hi all:
> If I want to test whether the mean of a set of normal distributed data is
different from a value(e.g. 0), I can use one sample t test . But if the data is
not normal distributed,what kind of method should be used?
> 
Not really an R question is it?

 (stats.stackexchange.com is -----> over there)

Anyways, short answer: If you can assume symmetry under the null hypothesis,
there is a one-sample wilcox.test (signed rank test) and a couple of similar
tests. If the distribution is not symmetric, first decide if you really mean the
mean. If you actually mean median, there's the sign test. If you really do
mean the mean, I'd look at the t test supplemented with bootstrap
simulations to see whether departure from normality matters much.
> Many thanks!
> 
> 
> My best.
> 
> 
> 
> 
> 
> 
> 
> 
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> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com

Very sorry that I ignore the question type.Yest,it's not an R question.
Many thanks for your answer.







--
QQ: 1733768559





At 2015-02-05 18:26:01,"peter dalgaard" <pdalgd at gmail.com>
wrote:
>
>On 05 Feb 2015, at 09:20 , meng <laomeng_3 at 163.com> wrote:
>
>> Hi all:
>> If I want to test whether the mean of a set of normal distributed data
is different from a value(e.g. 0), I can use one sample t test . But if the data
is not normal distributed,what kind of method should be used?
>> 
>
>Not really an R question is it?
>
> (stats.stackexchange.com is -----> over there)
>
>Anyways, short answer: If you can assume symmetry under the null hypothesis,
there is a one-sample wilcox.test (signed rank test) and a couple of similar
tests. If the distribution is not symmetric, first decide if you really mean the
mean. If you actually mean median, there's the sign test. If you really do
mean the mean, I'd look at the t test supplemented with bootstrap
simulations to see whether departure from normality matters much.
>
>> Many thanks!
>> 
>> 
>> My best.
>> 
>> 
>> 
>> 
>> 
>> 
>> 
>> 
>> 	[[alternative HTML version deleted]]
>> 
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
>-- 
>Peter Dalgaard, Professor,
>Center for Statistics, Copenhagen Business School
>Solbjerg Plads 3, 2000 Frederiksberg, Denmark
>Phone: (+45)38153501
>Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com
>
>
>
>
>
>
>
>
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