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Probability & stats
| Term | Definition |
|---|---|
| Sample Size | describes the number of data points collected in the sample. |
| Mean | The average of the data. |
| Median | The middle data value. |
| Mode | The value that occurs most often. |
| Range | The difference of the greatest value and the least value in a data set. |
| Interquartile Range | The difference between the third quartile and first quartile in a box plot. |
| Quartile 1 | The median of the first half of a data set. |
| Quartile 3 | The median of the second half of a data set. |
| Mean Absolute Deviation | The average distance that the data points in a set of data are from the mean. |
| Outlier | A data points that varies significantly from the rest of the data. |
| Symmetrical | The shape perfectly symmetric, because it can be divided into two halves (a left half and a right half) that are mirror images of each other. They do not have to have perfect symmetry |
| Right Skewed | The distribution has a long tail extending to the right, it is skewed to the right (or is right-skewed) |
| Left Skewed | The distribution has a long tail extending to the left, it is skewed to the left (or is left skewed) |
| Bi-Modal | If the distribution has two modes (or "humps"), it is bi-modal. |
| Uniform | If the distribution of data is all the same (or flat) it is a uniform distribution. Uniform distributions have no mode and are also considered symmetrical. |
| Probability | The likelihood than an event will happen. |
| Impossible | When an event will never happen. |
| Certain | When an event will definitely happen. |
| Equally Probable/Equally Likely | When an event has a 50% percent chance of happening (in exactly the middle of certain and impossible) |
| Unlikely | When an event has a 0 to 50% chance of happening. |
| Likely | When an event has a 50 to 100% chance of happening. |
| Complement | The opposite of a statistical event (includes all the outcomes that are not part of the original event) |