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Statistics
| Term | Definition |
|---|---|
| Mean | A measure of the center, the average of the data. |
| Median | It is the middle data value. |
| Mode | The value that occurs most often. |
| Range | The difference between the greatest value and the least value. |
| Inner Quartile Range | Represents the difference between the third quartile and the first quartile. (Middle 50% of data) |
| Outlier | A data point that varies significantly from the rest of the data. |
| Skewed-left | The data has a long tail extending to the left. |
| Skewed-right | The data has a long tail extending to the right. |
| Symmetrical | The shape is symmetric, it can be divided into two halves that are mirror images of each other. (They DO NOT have to have perfect symmetry) |
| bi-modal | The data has two modes or humps. |
| Uniform | The data is all the same or flat. |
| Mean Absolute Deviation | The average distance that the data points in a set of data are from the mean. |
| Sample Size | The number of data points collected for the sample. |
| 1st Quartile | The median of the first half. |
| 2nd Quartile | The median of the second half. |
| Impossible | Something will never happen. |
| Certain | Something will definitely happen. |
| Equally probable | Equally likely to occur or not occur and is exactly halfway between impossible and certain. |
| Likely | Probability greater than 1 half, but less than 1. |
| Unlikely | Probability greater than 0, but less than 1 half. |
| Complement | The opposite of the event. Includes all the outcomes that were not part of the original event. |