Applied Statistics

This course focuses on descriptive statistics; frequency distribution and graphical representation; measures of central tendency, dispersion and location; probability rules; selected discrete and continuous probability distributions; the central limit theorem; point and interval estimation of the population parameters; sample size determination; hypothesis testing (one sample and two samples cases for the means, proportions and standard deviations); one-way analysis of variance; chi-square tests of goodness of fit, independence and homogeneity; simple linear regression. Emphasis on applying the learned statistical methods using SPSS through hands-on experience. Corequisite: MAT 204.