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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