I test differences between frequency of hits of exotic annual forbs in
plots on two sites, Q and WD.
> Q<-c(13,0,10,2,0,0,1,0,0,1,5)
> WD<-c(0,0,1,0,0,0,0,0,0,0,1)
> t.test(Q,WD)
Welch Two Sample t-test
data: Q and WD
t = 1.9807, df = 10.158, p-value = 0.07533
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.3342006 5.7887460
sample estimates:
mean of x mean of y
2.9090909 0.1818182
The p-value is greater than 0.05, thus does not reach the 95% confidence
level, yet the difference in means is reported as not equal to 0.
Am I encountering a one-sided versus two sided comparison that I don't
understand, or is ther another explanation?
Mike Marsh
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