Descriptive Statistics

Upon the completion of this course, the students should be able to: 1. explain the basic concepts of descriptive statistics; 2. present data in graphs and charts; 3. differentiate between measures of location, dispersion and partition; 4. describe the basic concepts of Skewness and Kurtosis as well as their utility function in a given data set; 5. differentiate rates from ratio and how they are use; and 6. compute the different types of index number from a given data set and interpret the output.

Statistical data: types, sources and methods of collection. Presentation of data: tables chart and graphs. Errors and approximations. Frequency and cumulative distributions, measures of location, partition, dispersion, skewness and Kurtosis. Rates, ratios and index numbers.