The course introduces students to the nature of statistics with a description of variables, scales of measurement and the differences between descriptive and inferential statistics. Data representation is treated with emphasis on frequency distributions, histograms, polygons, gives, bar and pie charts as well as box and whisker plots. The nature and role of the measures of location, variability and relative position are explained. Students are introduced to the concept of probability with emphasis on the addition and multiplication rules and the nature, properties and applications of the normal distribution. Measures of relationship and correlation are explained and their roles in education are discussed. Basic ideas about statistical inference (sampling distributions) are treated leading to an introduction to hypothesis testing. Statistical tools such as regression analysis, chi-square test, t-test, Mann-Witney U-test, Wilcoxon signed rank test. One-way analysis of variance and the Kruskall-Wallis test are mentioned with emphasis on when they can be used.