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Statistics terms
| Question | Answer |
|---|---|
| Median | Measure of the center or the middle data value |
| Mode | it is the value that accurs the most often. |
| Range | It is the measure of variability and describes how values in a data set vary with a single number. |
| Inner in Quartile Range | it represents the measure of variability and represents the difference between the third quartile and the first quartile. |
| Outlier | the data point that varies significantly from the rest of the data. |
| Skewed left | If the distribution has a long tail extending to the left, it is skewed to the left. |
| Skewed right | If the distribution has a long tail extending to the right, it is skewed to the right |
| Symmetrical | The shape is perfectly symmetric , because it can be divided into halves that mirror images of each other. they do not have to have perfect symmetry. |
| Bimodal | if the distribution has two modes (or humps) |
| Uniform | If the distribution data is all the same ( or flat) it is also considered symmetrical. |
| Likely | between 1/2 and 1 |
| Unlikely | between 0 and 1/2 |
| Equally probable | the chances of it accuring is exactly between 0 and 1 on the scale. |
| Quartile 1 | Median of first half |
| Quartile 3 | Median of second half |
| Impossible | events that will never happen. |
| Probability | The likelihood that an event will happen can be given a number value. |
| Sample size | the number of data points or people you ask to measure data. |
Created by:
user-1970362