Variability
degree to which the ind. data points are distributed around the mean
3 measure of variability
-range
-variance
-standard deviation
Range equation
highest - lowest
Variance
average of the squared deviation’s from the mean
Population variance
sum of the squared deviations from the mean divided by population size
Sample variance
sum of the squared deviations (SS) from the mean divided by (sample size n-1)
Bias happening
underestimating population variance
Standard deviation
measure of the average deviation of each score from the mean
Standard deviation (percentages)
68% within 1 SD
95% within 2 SD
99.7% within 3 SD
Outliers effect
Range - increase
Variance - increase
SD - increase
S factors
add/subtract - no effect
multiply/divide - constant
multiply/divide s^2 - constant squared