Worksheet 13: Variability#
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- Think of examples of scenarios where you care not only where the data is centered, but also what the variability is. 
- Come up with a suggestion for one or more quantitative measures of variability. 
Variance and Standard Deviation.
- The list of rowers’ heights (in inches) is \((71,72,60,73,71,72,72,73,71)\). Calculate the variance of the rowers’ heights. What are the units of the variance? 
- Calculate the standard deviation of the rowers’ heights. 
- Suppose someone offers you a choice between: (1) A gift of $100 (2) The chance to flip a fair coin for $300. Calculate the mean and standard deviation of your earnings in each scenario. 
- Reflecting about standard deviation: - a. Do you think the standard deviation is a satisfying measure of variability? What is it conveying? What is it not conveying? - b. Suppose you know the mean and standard deviation. Can you infer that a “typical” sample is within 1 standard deviation of the mean? 
Quantiles
- How can we use quantiles to measure variability? 
- How does the information we get from the standard deviation differ from the information we get from the quantiles? 
- 80% of data points in the histogram fall between the 10th and 90th percentile. Why? 
