The course introduces students with theories and principles of descriptive and inferential statistics and prepares them to use quantitative methods and their applications in analysing data from various sources. Students will learn how to collect data with specific objectives, describe them with defined criteria and prepare useful information on different attributes and characteristics of the data using statistical inferences. Students will first learn how to describe data using frequencies and other numerical measures such as mean, median, mode, range, variance and standard deviation; discrete and continuous probability distributions; sampling methods and the central limit theorem. The course will then introduce students to estimation of confidence intervals and the concept of one-sample and two-sample tests of hypothesis as well as will provide a brief introduction to the Analysis of Variance. Finally, the course will provide a brief overview of index numbers and their applications. The modality of offering this course includes in-class practice and experiential learning and thus students can expect a good combination of lessons on theoretical concepts along with applications through individual and group projects.
- Enseignant: Rajendra Chaini