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statistics terms
| Term | Definition |
|---|---|
| median | a measure of center it's the middle data value to find the median |
| mode | a measure of center, it is the value that occurs the most. |
| range | a measure of variability describes how the values in a data set vary with a single number. |
| inner quartile range | it represents the difference between the third quartile and the first quartile. |
| outlier | a data point that varies significantly from the rest of the data. |
| skewed-left | a long tail extending to the left it is skewed to the left. |
| skewed-right | a long tail extending to the right it is skewed to the right. |
| symetrical | the shape perfectly symmetrical,because it can divide into two halves. |
| bi-model | if the distribution has two modes (or humps) it is bimodal. |
| uniform | when the data has two modes or humps |
| mean | a measure of center. it is the average of data. To find the mean, add all of the data points and divide by the number of data points. |
| mean absolute deviation | the average distance that the data points in a set of data are from the mean. |
| likely | when the chances of getting it are great. |
| unlikely | when the chances of getting it aren't great |
| equally probable/equally likely | equal probable is more likely than equal likely. |
| certain | when the chances are 100% |
| impossible | when the chances are 1% |
| probability | the chances of somebody getting something. |
| interquartile range | 50 percent of the data |
| quartile 1 | 25 percent of the data |
| quartile 3 | 25 percent of the data |
| complement | all the outcomes that are apart of the original event. |
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