Comparing data sets
Misleading statistics and biased samples, summary statistics, shape and skewness, and comparing two data sets with parallel box plots.
Misusing statistics
Watch for small or biased samples, graphs whose vertical axis does not start at zero, and averages that hide outliers. Always ask who collected the data and why.
Shape
Comparing with box plots
Class A test scores have median $68$ and IQR $12$. Class B has median $74$ and IQR $25$. Compare them.
Class A: median $68$, IQR $12$. Class B: median $74$, IQR $25$. Which class was more consistent?
Smaller IQR.
Which class scored higher on average?
Larger median.
Incomes usually have a long tail of very high earners. The data is:
Tail to the right.
IQR of $4, 6, 7, 9, 10, 12, 15$?
$12 - 6$.
Scores on an easy test, mostly high with a few low ones, are:
Tail to the left.
In positively skewed data the mean is usually:
High values pull the mean up.
A poll of $20$ people outside a gym claims "$90\%$ of Australians exercise daily". The main problem is:
Too few people, and not representative.
Median of $4, 6, 7, 9, 10, 12, 15$?
The middle ($4$th) value.
New numbers every time. Keep going until you get five in a row.
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