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Data Analysis and Statistics for Geography, Environmental Science, and Engineering
book

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

by Miguel F. Acevedo
December 2012
Beginner content levelBeginner
557 pages
19h 5m
English
CRC Press
Content preview from Data Analysis and Statistics for Geography, Environmental Science, and Engineering
135Exploratory Analysis and Introduction to Inferential Statistics
We obtain
> cor.test(x,y.u, method=”s”)
Spearman’s rank correlation rho
data: x and y.u
S = 3510, p-value = 0.2436
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.2191324
With p-value 0.24 we cannot reject H0 at a reasonable α. Therefore, we cannot assure that variables
are correlated.
> cor.test(x,y.r, method=”p”)
Pearson’s product-moment correlation
data: x and y.r
t = 25.6957, df = 28, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
0.9567998 0.9902815
sample estimates:
cor
0.9794479
With this very ...
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Publisher Resources

ISBN: 9781439885017