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← Bessels Correction - Intro to Descriptive Statistics

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Showing Revision 3 created 05/19/2016 by Udacity Robot.

  1. >> In general, samples underestimate the amount of variability in a population,
  2. because samples tend to be values in the middle of the population. Especially in
  3. a normal distribution, most of the values are centered here in the middle. So
  4. when we take samples from it, most of our values are going to be around here,
  5. since most of the values are in this area. Therefore the variability in this
  6. sample will be less than the variability of the entire population. To correct
  7. for this, we use something called Bessel's correction, where instead of dividing
  8. by n, we divide by n minus 1. Same within the variance. So what will dividing by
  9. n minus 1 do to the original standard deviation and variance? Will it make them
  10. bigger, or will it make them smaller?