What is the skewed distribution rule for sample variance?

a. It explains that sample variances will vary minimally from the population variance.

b. It explains that regardless of the distribution of scores in a population, the sampling distribution of sample variances selected at random from that population will approach the shape of a positively skewed distribution, as the number of samples in the sampling distribution increases.

c. It explains that if we select a sample at random, then on average we can expect the sample variance to equal the population variance.