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Statistics
| Term | Definition |
|---|---|
| Median | The median is the measure of center. It is the middle value. |
| Mode | The mode is a measure of center. It is the value that occurs most often. |
| range | The range is a measure of variability. A measure of variability measures how the values in a data set vary a single number. |
| Inner quartile range | The inner quartile range is a measure of variability. It represents the difference between the third quartile and the first quartile. |
| outlier | An outlier is a data point that varies significantly from the rest of the data . |
| skewed-left | If the distribution has a long tail extending to the left it is skewed left. |
| skewed-right | If the distribution has a long tail extending to the right it is skewed right. |
| symmetrical | Symmetrical can be divided into two halves perfectly. |
| bi-model | 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 uniform distribution |
| mean | The mean is a measure of center. It is the average of the data. |
| Mean Absolute Deviation | M.A.D is the average distance that the data points in a set of data are from the mean. |
| Probability | The likelihood that an event will happen |
| impossible | When something has no chance of happening. |
| certain | When something happens no matter what . |
| equally probable/equally likely | When something has half a chance of happening. |
| unlikely | Not impossible but less than one half |
| likely | Not certain but more than one half. |
| Complement | Complement can be found in two ways it is the probability of a number that is not the answer. |