Calculate and interpret measures of central tendency (mean, median, mode, geometric mean, harmonic mean) and dispersion (range, mean deviation, standard deviation, coefficient of variation).
Compute and interpret Karl Pearson's coefficient of correlation and rank correlation for individual observations.
Apply regression analysis to model and predict business relationships using linear regression equations and least squares method.
Understand sampling methods, including probability and stratified random sampling, and distinguish between population and sample parameters.
Use analytical geometry concepts such as distance between points and slope of a line in business modeling.
Apply laws of indices and matrix operations to solve business and economic problems.
