Mean is not resistant to outliers, prone to follow the tail (at the mercy of outliers)
In class exercise with mean and median using height of class members.
Mean was 66.9 inches
Median was 66 inches
Measures of Variability (Spread)
Range - "Mostly useless, can be beneficial on occasion" To find the range you subtract the highest value of your data set from the lowest value of your data set. Using our class height as an example the tallest member is 78 inches, while the shortest individual is 60 inches. 78 - 60 = 18 inches.
Variance - Not interested in this measure of variability, skip any homework questions asking for variance.
Standard Deviation - "Think of it as the average difference from the mean or the 'acceptable deviation'."
Standard deviation for a parameter:
- σ = Standard Deviation of parameter from a population
- N = Population size
- xi = Individual observation
- μ = Mean of the parameter from a population
Standard Deviation for a statistic:
- s = Standard Deviation of statistic from a sample
- n = Sample size
- xi = Individual observation
- x-bar = Mean of the statistic from the sample
As complicated as these expressions look they are basically saying: "Sum the squares of all the individual observations (observed value) - mean (expected value), divide this number by the sample size less one (or the population size), then take the square root of that number. The resulting number is your Standard Deviation.
- You cannot know the standard deviation without knowing the following: mean, sample size, individual values.
Using Quiz 1 test results:
- μ = 67%
- Median = 73%
- σ = 23.87%
- range = 100
The mean is smaller than the median, therefore skewed left.
However, this data is not reflective of the class. Notice that the range is 100, the data set is accounting for people who have not taken the quiz yet (people with zeroes).
Taking this into account and adjusting the data set accordingly:
- μ = 70.5%
- Median = 76.7%
- σ = 18.58%
- range = 67 (from 100-33)
This change in mean also alters the standard deviation because the mean is used to calculate the standard deviation.
If you are unclear on any of this please watch this video
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