Chapter 3: Measures of Distribution Shape Flashcards
Skewness
a measure of the shape of the data distribution
DOES NOT APPLY to qualitative data
Negatively Skewed
higher frequency of larger observations
tail points left
Positively Skewed
higher frequency of smaller observations
tail points right
Symmetric
the data is normal
the mean, median, and mode are all the same
Skewness and Mean
the mean is pulled towards the tail for skewed data
Skewness and Median
The median lies between the mean and mode for skewed data
Skewness and Mode
The mode always lies at the peak
Kurtosis
How peaked or flat the data is
DOES NOT APPLY to qualitative data
Excess Kurtosis
Kurtosis - 3
Mesokurtic
normal kurtosis
excess kurtosis = 0
Leptokurtic
tall and thin
Excess kurtosis > 0
Platykurtic
short and wide
excess kurtosis <0
Are the data normal?
Within +/- 3 times the standard error of skewness
Within +/- 3 times the standard error of kurtosis