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Statisstics
| Term | Definition |
|---|---|
| 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. The distance of the greatest value and the least value. |
| inner quartile range | A measure of variability. It is the difference between the third quartile and the first quartile |
| outlier | Is a data point that varies significantly from the rest of the data. It will be a value that is either significantly larger or smaller than other observations. |
| skewed-left | The distribution has a long tail extending to the left. |
| skewed-right | The distribution has a long tail extending to the right. |
| symmetrical | The shape perfectly symmetric, because it can be divided into two halves that mirror images of each other. They do not have to have a perfect symmetry. |
| bi-modal | The distribution has two models (or 'humps'). |
| uniform | The distribution of data is all the same (or flat). |
| mean | Is a measure of center. It is the average of the data. |
| mean absolute deviation | Is the average distance that the data points in a set of data are from the mean |
| sample size | It describes the number of data points collected in the sample. |
| quartile 1 | The median of the first half |
| quartile 3 | The median of the second half |
| impossible | Events that will never happen. |
| certain | Events that will definitely happen. |
| equally probable/equally likely | It is exactly halfway between impossible (0) and certain (1) |
| unlikely | Events have probabilities greater than o but less than 1/2 |
| likely | Events have probabilities greater than 1/2 but less than 1 |