Last active
March 7, 2016 18:13
A #glfintech R turorial on statistics discussing hypothesis tests - parametric tests (z-test, t-test and ANOVA) and non-parametric tests (Mann-Whitney Test, Wilcoxon Rank-sum test, Wilcoxon Signed-rank Test, Kruskal Wallis Test).
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| #Shapiro test shows whether the variables have a normal distribution | |
| shapiro.test(lifeexpf) | |
| shapiro.test(lifeexpm) | |
| shapiro.test(birth_rt) | |
| shapiro.test(death_rt) | |
| shapiro.test(world[,2]) | |
| shapiro.test(world[,3]) | |
| shapiro.test(world[,5]) | |
| #We are alomst 100% sure that NONE of the variables follows a normal distribution. | |
| #Chi-squared test shows whether two variables are independent | |
| chisq.test(region,death_rt) | |
| #We are 99,96% sure that Ho is wrong and that the two variables are NOT independent. Hence, the death rate depends upon the region. |
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