## Original list

First, you measure something, and you make a list, adding entries at the end as you measure it.

What you then get is the Original List, for example:

Let n be the number of measurements, then:

## Frequency

You order the list (for convenience), find common values and count how often each value appears:

row# | Value | Frequency H | Relative Frequency | Frequency graph |
---|---|---|---|---|

1 | 1 | 1 | 1/8 | # |

2 | 4 | 3 | 3/8 | ### |

3 | 5 | 1 | 1/8 | # |

4 | 7 | 2 | 2/8 | ## |

5 | 9 | 1 | 1/8 | # |

## Average

## Variance

## Standard Deviation

## Average Standard Deviation of the ENTIRE set of items where you drew *some* items from

## Probabilities

A probability [that an event occurs] is a number between 0 and 1.

### Probability distribution

A probability distribution gives the probability of a random variable being (exactly|in_the_range_of) some value.