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What do you notice? What do you wonder?
mean: 10, MAD: 1.56, standard deviation: 2
mean: 10, MAD: 2.22, standard deviation: 2.58
mean: 10, MAD: 2.68, standard deviation: 2.92
mean: 10, MAD: 1.12, standard deviation: 1.61
mean: 10, MAD: 2.06, standard deviation: 2.34
mean: 10, MAD: 0, standard deviation: 0
Use technology to find the mean and the standard deviation for the data in the dot plots.
Partner 1
Partner 2
Dot plots:
Dot plots:
Conditions:
Conditions:
Begin with the data:
We can describe the variability of a distribution using the standard deviation. The standard deviation is a measure of variability that is calculated using a method that is similar to the one used to calculate the MAD, or mean absolute deviation.
A deeper understanding of the importance of standard deviation as a measure of variability will come with a deeper study of statistics. For now, know that the standard deviation is mathematically important and will be used as the appropriate measure of variability when the mean is an appropriate measure of center.
Like the MAD, the standard deviation is large when the data set is more spread out, and the standard deviation is small when the variability is small. The intuition you gained about MAD will also work for the standard deviation.
The standard deviation is a measure of the variability, or spread, of a distribution. It is calculated by a method similar to the method for calculating the MAD (mean absolute deviation). The exact method is studied in more advanced courses.