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statistics
| Term | Definition |
|---|---|
| Median | A measure of center. It is the middle data value. To find the median, order the values from least to greatest. then find the middle value |
| mode | The mode is a measure of a center. It is the value that occurs most often. A data set can have one mode, no mode, or more then one mode |
| range | The range is a measure or variability. A measure or variability describes how the values in a data set vary with a single number. The range is the difference of the greatest value and the least value. |
| interquartile range | It is a measure or variability. It represents the difference between the third quartile and the first quartile. |
| skewed left | When the distribution has a long tail extending to the left. |
| skewed right | When the distribution has a long tail extending to the right |
| symmetrical | When the data can be divided into two half's that are mirror images of each other. |
| bi-model | If the distribution has two modes. |
| uniform | The data is all the same, and also considered symmetrical |
| mean | The mean is a measure of a center. 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. |
| mean absolute deviation | The absolute deviation (MAD) tells you how far the data are spread out from the mean. |
| Sample size | The sample size describes the number of data points collected in the sample |
| Likely | When something Is likely it usually happens |
| unlikely | When something is unlikely is usually doesn't happen |
| equally probable | There is a 50 50 chance that it will happen |
| certain | Something is going to happen 100 percent. |
| Impossible | Defiantly not going to happen |
| probability | Probability is simply how likely something is to happen |
| Quartile 1 | It is one of the things in data points that split everything up into 25% and median of first half. |
| Quartile 3 | It is 25% and it is considered the median of the upper half. |
| Outlier | A number in a list of numbers that is somehow different then the others. |