# Non-parametrics

Similar to the one-sample t test is the Wilcoxon signed-rank test. However, the
Wilcoxon test is a non-parametric test. The test checks if the distribution of
the data is symmetric around some median value.

Example:

```R
> wilcox.test(rnorm(10, mean = 0, sd = 1), mu = 5)

        Wilcoxon signed rank test

data:  rnorm(10, mean = 0, sd = 1)
V = 0, p-value = 0.001953
alternative hypothesis: true location is not equal to 5
```

# Non-parametrics

Similar to the one-sample t test is the Wilcoxon signed-rank test. However, the
Wilcoxon test is a non-parametric test. The test checks if the distribution of
the data is symmetric around some median value.

Test will subtract given median from all values in sample and rank them based
on the positive and negative values. This can show a symmetric distribution.

Example:

```R
> wilcox.test(rnorm(10, mean = 0, sd = 1), mu = 5)

        Wilcoxon signed rank test

data:  rnorm(10, mean = 0, sd = 1)
V = 0, p-value = 0.001953
alternative hypothesis: true location is not equal to 5
```

Warning: Wilcoxon signed-rank test is susceptible to ties.

Add details & caveats of Wilcoxon signed-rank test
Add details & caveats of Wilcoxon signed-rank test
