Answer to exercise at non-parametric stats:
Mann-Whitney test
Input
wilcox.test(AverageTemperature ~ era, data=carbon)
Output
Wilcoxon rank sum test
data: AverageTemperature by era
W = 437, p-value = 0.0002986
alternative hypothesis: true location shift is not equal to 0
Spearman Correlation
Input
cor.test(carbon$AverageTemperature, carbon$AverageCarbonEmission, method="spearman")
Output
Spearman's rank correlation rho
data: carbon$AverageTemperature and carbon$AverageCarbonEmission
S = 4452, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.8478469
Conclusions from our analysis
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