If we were working with a sample of the population, we would divide by n-1. 69.5/6 = 11.583. There we have it! The variance of our population is 11.583. Why use n-1 when calculating the sample ...

This means we end up with a population variance of 130.67 and sample variance of 156.8. To figure out the standard deviation, we have to take the square root of the variance, which is 11.43 ...

For the former, estimates use the full sample size, but bias reduction is achieved through more variable and extreme weights, which tends to increase the variance of survey estimates. For the latter, ...

Figure 1: ANOVA is used to determine significance using the ratio of variance estimates from sample means and sample values. (a) Between- and within-group variance is calculated from SS B, ...

The common assumptions made when doing a t-test include those regarding the scale of measurement, random sampling, normality of data distribution, adequacy of sample size, and equality of variance ...