click below
click below
Normal Size Small Size show me how
Statistics
| Question | Answer |
|---|---|
| Median | A measure of center. It is the middle data value. |
| Mode | A measure of center. It is the value that occurs the most often. |
| Range | A measure of variability. It is the difference between the greatest value and the least value. |
| Inner Quartile Range | A measure of variability. It represents the difference between the third quartile and the first quartile. |
| Outliner | The data point that varies significantly from the rest of the data. Will either be significantly larger or smaller than the observation. |
| Skewed - Left | If the distribution has a long tail extending to the left it is skewed to the left. |
| Skewed - right | If the distribution has a long tail extending to the right it is skewed to the right. |
| Symmetrical | The shape is perfectly symmetric because it can be divided into two halves that are mirror images of each other. |
| Bi-modal | If the distribution has two models or( humps )it is a bi-modal. |
| Uniform | If the distribution of data is all the same or flat it is a uniform distribution. They have no mode and are considered symmetrical. |
| Sample size | Describes a number of data points collected in the sample. |
| impossible | Some events will never happen probability of 0. |
| certain | Other events will definitely happen probability of 1. |
| equally probable | Is exactly between impossible and certain. |
| Unlikely | Have probabilities greater than 1/2 but less than 1. |
| Likely | Have probabilities greater than 1/2 but less than 1. |
| quartile 1 | Median of first half |
| quartile 3 | Median of 2nd half |
| Probability | The likelihood that an event will happen can be given a number value. |
| Complement | A statistical event is the opposite of the event. all the outcomes that are not part of the original event. |