# Elementary Statistics with R

Tutorials on elementary statistics with R.

## Poisson Distribution

A tutorial on the Poisson probability distribution.

## Binomial Distribution

A tutorial on the binomial probability distribution.

## Probability Distributions

A probability distribution describes how the values of a random variable is distributed. For example, the collection of all possible outcomes of a sequence of coin tossing is known to follow the binomial distribution. Whereas the means of sufficiently large samples of a data population are known to resemble the normal distribution. Since the characteristics of these theoretical distributions are well understood, they can be used to make statistical inferences on the entire data population as a whole.

## Cumulative Frequency Graph

A tutorial on computing the cumulative frequency graph of quantitative data in statistics.

## Correlation Coefficient

A tutorial on computing the correlation coefficient of two observation variables in statistics.

## Covariance

A tutorial on computing the covariance of two observation variables in statistics.

## Standard Deviation

A tutorial on computing the standard deviation of an observation variable in statistics.

## Variance

A tutorial on computing the variance of an observation variable in statistics.

## Box Plot

A tutorial on computing the box plot of an observation variable in statistics.

## Interquartile Range

A tutorial on computing the interquartile range of an observation variable in statistics.