What are the different types of variances in statistics?
In statistics, variances can be categorized mainly into two types: population variance and sample variance. Would you like to know more about each?
Yes, please explain population variance.
Population variance measures the spread of a set of values in an entire population. It's calculated by taking the average of the squared differences from the mean.
How is sample variance different from population variance?
Sample variance is used when you have a subset of the population. It divides by the number of observations minus one, which corrects bias in the estimation.
Can you give me an example of calculating sample variance?
Sure! If you have a sample of data points: 4, 8, 6, 5, and 3, you first find the mean, then calculate the squared differences, and finally divide by the number of points minus one.
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