Measures of Variability (Variance, Standard Deviation, Range, Mean Absolute Deviation) @jbstatistics
Measures of Variability (Variance, Standard Deviation, Range, Mean Absolute Deviation)  @jbstatistics
Uploaded January 2014 | Updated September 2026, 1 hour ago
An introduction to measures of variability. I discuss the range, mean absolute deviation, variance, and standard deviation, and work through a simple example of calculating these quantities. I then discuss interpreting the standard deviation, including a brief discussion of the empirical rule.

In this video it is assumed that we are dealing with sample data, and not data representing the entire population. This will be the case the vast majority of the time in practice.

The birth weight data is from random sample of 1000 males drawn from Table 7-2 (Live births, by birth weight and geography -- Males) of the Statistics Canada publication 84F0210X, available at \url{statcan.gc.ca/pub/84f0210x/2009000/t011-eng.htm}.
Measures of Variability (Variance, Standard Deviation, Range, Mean Absolute Deviation)Proof that the Sample Variance is an Unbiased Estimator of the Population VarianceFinding Probabilities and Percentiles for a Continuous Probability DistributionConditional Probability Example ProblemsIntroduction to the Central Limit Theorem (fast version)Z-Scores (As a Descriptive Measure of Relative Standing)Calculating Power and P(Type II error) (A One-Tailed Z Test Example)Inference for One Proportion: IntroductionOn average, what proportion of sample means would a randomly selected 95% CI for mu capture?An Introduction to the F DistributionThe Pooled-Variance t Test as a RegressionSimple Linear Regression:  Transformations
jbstatistics |

Measures of Variability (Variance, Standard Deviation, Range, Mean Absolute Deviation)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER