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Statistics
| Term | Definition |
|---|---|
| Median | The median is the middle data value. |
| Mode | The mode is the value that occurs most often. |
| Range | The range is the difference of the greatest value and the least value. |
| Interquartile Range | The interquartile range is the difference between the third quartile and the first quartile. |
| Outlier | An outlier is a data point the varies significantly from the rest of the data. |
| Skewed-left | Left skewed is when the distribution has a long tail extending to the left. |
| Skewed-right | Right skewed is when the distribution has a long tail extending to the right. |
| Symmetrical | Symmetrical is when the shape is perfectly symmetric, because it can be divided into two halves that are mirror images of each other. |
| Bi-modal | Bi-modal is when the distribution has two modes ( or "humps"). |
| Uniform | Uniform is when the distribution of the data is Al the same (or flat). |
| Mean | The mean is the average of the data. |
| Mean absolute deviation | The mean absolute deviation is the average distance that the data points in a set of data are from the mean. |
| Sample size | The sample size describes the number of data points collected in the sample. |
| Quartile 1 | The first quartile is the median of the 1st half. |
| Quartile 3 | The third quartile is the median of the 3rd half. |
| Probability | Probability is the chance of something happening. |
| impossible | Never will happen. |
| Certain | Definitely will happen. |
| Equally Probable/Equally Likely | Equal chance of happening. |
| Unlikely | Most likely won't happen. |
| Likely | Most likely will happen. |
| Complement | Complement of a statistical event is the opposite of the event. It includes all the outcomes that are not part of the original event. |