Please join us as Dr. Ananda Jayawardhana presents
Abstract: Most commonly used correlation coefficient is known as Pearson Product Moment Correlation Coefficient. There are several assumptions to be checked before calculating the Pearson Correlation Coefficient. Data should be at least of interval measurements, variable should be at least approximately normal, data should not contain outliers, data should have constant variance, and the two variables should have a linear relation. If the two variables do not have a linear relation, correlation coefficient does not make sense. If any of the other assumptions are badly violated, nonparametric Spearman's Correlation Coefficient is the recommended procedure.
Students are encouraged to attend.
There will be cookies and conversation afterwards in Yates 210.