Basic Statistics

At the end of the courses, 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; 6. compute the different types of index number from a given data set and interpret the output; 7. explain the differences between permutation and combination; 8. explain the concept of random variables and relate it to probability and distribution functions; 9. describe the basic distribution functions; and 10. explain the concept exploratory data analysis.

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. Permutation and combination. Concepts and principles of probability, random variables, probability and distribution functions. Basic distributions: Binomial, geometric, Poisson, normal and sampling distributions and exploratory data analysis. 200 Level