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The interquartile range is one way to measure how spread out a data set is. To find the IQR, subtract the first quartile (Q1) from the third quartile (Q3).
For example, the IQR of this data set is 20 because \(50-30=20\).
| 22 | 29 | 30 | 31 | 32 | 43 | 44 | 45 | 50 | 50 | 59 |
| Q1 | Q2 | Q3 |
From an earlier course.
The mean is one way to measure the center of a data set. It can be thought of as a balance point. To find the mean, add all the numbers in the data set. Then divide by how many numbers there are.
The mean is 11. So, the typical travel time is 11 minutes.
The mean absolute deviation (MAD) is one way to measure how spread out a data set is. To find the MAD, find the distance between each data value and the mean. Add all the distances. Then divide by how many distances there are.
The MAD is 2.4. So, these travel times are typically 2.4 minutes away from the mean of 11 minutes.
The median is one way to measure the center of a data set. It is the middle number when the data set is listed in order of value.
A sample is representative of a population if they match closely. They are very alike in shape, center, and spread.
This dot plot shows the distribution for a population.
This dot plot shows the distribution of a sample that is representative of the population.
A simulation is an experiment that is used to estimate the probability of a real-world event.
Suppose the weather forecast says there is a 25% chance of rain. This situation can be simulated with a spinner that has four equal sections. If the spinner stops on red, it represents rain. If the spinner stops on any other color, it represents no rain.