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Statistics
| Term | Definition |
|---|---|
| Median | It is the middle data value. To find the median, order the values form least to greatest, then find the middle value. |
| Mode | It is the value that occurs most often. A data set can have one mode, no mode, or more than one mode. |
| range | A measure of variability. A measure of Variability describes how the values in a data set vary with a single number. The range is the distance of the greatest value and the least value |
| inner quartile range | It represents the difference between the third quartile and the first quartile |
| outlier | A value that is far from the rest |
| skewed-left | If the distribution has a long tail extended to the left, it is skewed tot the left(or is left-skewed) |
| skewed-right | If the distribution has a long tail extended to the right, it is skewed tot the right( or is right skewed) |
| symmetrical | The shape perfectly symmetric, because it can be divided into two halves( a left and right half) that are mirror images of each other. They do not have to have perfect symmetry |
| Sample size | The sample size, describes the number of data points collected in the sample. |
| Mean | It is the average of the data.To find the mean, add all of the data points and divide by the number of data points. |
| Quartile 1 | Quartiles are values that divide a data set into four equal parts(Median of first half) |
| Quartile 3 | Quartiles are values that divide a data set into four equal parts (Median half of second half) |
| mean absolute deviation | It is the average distance that data points in a set of data are from the mean |
| bi-model | If the distribution has two modes(or '' humps''), it is bimodel |
| uniform | If the distribution of data is all the same(or flat) it is a uniform distribution. Uniform distributions have no mode and are also considered symmetrical. |
| probability | The liklihood that an event will happen can give a number value. |
| impossible | Some events that will never happen |
| certain | Events that are definitely going to happen |
| equally probable/equally likely | It can occur or not occur |
| unlikely | probably not but maybe |
| likely | probably going to happen but maybe not |
| Complement | the opposite of the event. It includes all the outcomes that are not part of the original event. |
Created by:
user-1970374