[R] Choice of statistical test (in R) of two apparently different distributions

[Pascal Oettli]

Hello,

1) Why 'x' should be statistically different from others?

2) 'y' looks to be bimodal. The mean is not an appropriate measurement 
for this kind of distribution.

Regards,
Pascal


On 05/09/2013 10:29 AM, Gundala Viswanath wrote:
> I have the following list of data each has 10 samples.
> The values indicate binding strength of a particular molecule.
>
> What I want so show is that 'x' is statistically different from
> 'y', 'z' and 'w'.  Which it does if you look at X it has
> more values greater than zero (2.8,1.00,5.4, etc) than others.
>
> I tried t-test, but all of them shows insignificant difference
> with high P-value.
>
> What's the appropriate test for that?
>
> Below is my code:
>
> x   <-
> c(2.852672123,0.076840264,1.009542943,0.430716968,5.4016,0.084281843,0.065654548,0.971907344,3.325405405,0.606504718)
> y   <-
> c(0.122615039,0.844203734,0.002128992,0.628740077,0.87752229,0.888600425,0.728667099,0.000375047,0.911153571,0.553786408);
> z   <-
> c(0.766445916,0.726801899,0.389718652,0.978733927,0.405585807,0.408554832,0.799010791,0.737676439,0.433279599,0.947906524)
> w   <-
> c(0.000124984,1.486637663,0.979713013,0.917105894,0.660855127,0.338574774,0.211689885,0.434050179,0.955522972,0.014195184)
>
> t.test(x,y)
> t.test(x,z)
>
> --END--
>
> G.V.
>
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