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The mean absolute deviation is the average distance that the data values are spread around the mean. Page 2. MAD and Data Values- The greater the mean absolute ...
Typology: Exercises
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Absolute deviation-The absolute deviation of a data value from the mean is the distance that the data value is away from the mean of the data set. Because it is a distance, absolute deviation cannot be negative. You find it by taking the absolute value of the deviation of the data value. Mean Absolute Deviation- The mean absolute deviation is a measure of variability that describes how much the data values are spread out from the mean of a data set. The mean absolute deviation is the average distance that the data values are spread around the mean.
MAD and Data Values- The greater the mean absolute deviation, the higher the variability in the data set.
Mean as a reference- The mean represent the center of the data set. The mean is used as reference point to measure how much each data value in the data set deviates, or strays, from it. Deviations- The deviation of a data value from the mean measures how far away and in which direction the data value is from the mean. Data values that are less than the mean have a negative deviation. Data values that are greater than the mean have a positive deviation.