117, 12, 11. 8, 13,9 Standard Dev Variance: Range: Ave. Dev. Range: 2) 18, 17, 24, 24, 17, 25, 24, 22, 24, 25 Ave. Dev. Variance: Standard Dev.: 3) 2, 7, 2.5, 3.2, 3.6, 3.8, 3.3, 2.3 Range: Ave. Dev. Variance: Standard Dev.: 4) 1.81, 1.63, 1.42, 1.8, 0.95, 0.76, 1.23, 1.15, 1.24 Standard Dev.: Range: Ave. Dev.: Variance: 5) 92, 92, 89, 88, 81, 91, 93, 90, 95, 87 Variance: Standard Dev.: Range: Ave, Dev.:
QUESTION:
117, 12, 11. 8, 13,9 Standard Dev Variance: Range: Ave. Dev. Range: 2) 18, 17, 24, 24, 17, 25, 24, 22, 24, 25 Ave. Dev. Variance: Standard Dev.: 3) 2, 7, 2.5, 3.2, 3.6, 3.8, 3.3, 2.3 Range: Ave. Dev. Variance: Standard Dev.: 4) 1.81, 1.63, 1.42, 1.8, 0.95, 0.76, 1.23, 1.15, 1.24 Standard Dev.: Range: Ave. Dev.: Variance: 5) 92, 92, 89, 88, 81, 91, 93, 90, 95, 87 Variance: Standard Dev.: Range: Ave, Dev.:
ANSWER:
- In statistics, the standard deviation is a measure of the amount of variation or dispersion of a set of values. A low standard deviation indicates that the values tend to be close to the mean of the set, while a high standard deviation indicates that the values are spread out over a wider range.
FORMULA:
\sigma = population standard deviation
N = the size of the population
x_i = each value from the population
\mu = the population mean
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