A survey found that women's heights are normally distributed with mean 62.8 inches and standard deviation of 2.5 inches. This su
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Hence, the standard deviation for these data is 7.1 sessions
In statistics, the standard deviation is a measure of the volatility or variance of a set of values. [1] A low standard deviation indicates that the values tend to be close to the mean of the set (also known as the mean), and a high standard deviation indicates that the values are more widely distributed. indicate.
Standard deviation can be abbreviated as SD, and in mathematical texts and equations, it is most commonly represented by the Greek lower σ (sigma) for population standard deviation or the Latin letter s for sample standard deviation. It is a target.
The standard deviation of a random variable, sample, population, dataset, or probability distribution is the square root of its variance. It's algebraically simple, but it's actually less robust than mean absolute deviation. A useful property of standard deviation is that, unlike variance, it is expressed in the same units as the data.
Expression
\ sigma = {\ sqrt {\ frac {\ sum (x_ {i}-{\ mu}) ^ {2}} {N}}}
\ sigma = Population standard deviation
N = size mother Population
x_i = Arbitrary value from population
\ mu = Population mean
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