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statistic
parameter
proportion (sample)
proportion (population)
What do you do if you have outliers in the data?
See if we can tell why the outliers exist by examining the data.
If mistake: remove them
If not mistake: explain why they exist, potentially try the analyses with and without the outliers to see if the analysis is affected, use resistant statistics (ex: median instead of mean)
correlation
measure of the strength and direction of a linear association between two variables
3 Regression Cautions
Do not extrapolate too far
Plot the data. Regression lines are only appropriate for linear trends.
Beware of outliers