Applied Statistics and Probability for Engineers

(Chris Devlin) #1
numerical accuracy. A more efficient computational formula for the sample variance is
obtained as follows:

and since this last equation reduces to

(6-4)

Note that Equation 6-4 requires squaring each individual then squaring the sum of the
subtracting from and finally dividing by n 1. Sometimes this is called the
shortcut method for calculating (or s).

EXAMPLE 6-3 We will calculate the sample variance and standard deviation using the shortcut method,
Equation 6-4. The formula gives

and

These results agree exactly with those obtained previously.

Analogous to the sample variance , the variability in the population is defined by the
population variance(^2 ). As in earlier chapters, the positive square root of , or , will
denote the population standard deviation.When the population is finite and consists of N
values, we may define the population variance as

(6-5)

We observed previously that the sample mean could be used as an estimate of the population
mean. Similarly, the sample variance is an estimate of the population variance. In Chapter 7,
we will discuss estimation of parametersmore formally.
Note that the divisor for the sample variance is the sample size minus one while
for the population variance it is the population size N. If we knew the true value of the popu-
lation mean , we could find the samplevariance as the average squared deviation of the sam-
ple observations about . In practice, the value of is almost never known, and so the sum of

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6-1 DATA SUMMARY AND DISPLAY 193
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