Course Details Language of Instruction English Level of Course Unit Bachelor's Degree Department / Program BA Program in Economics Type of Program Formal Education Type of Course Unit Compulsory Course Delivery Method Face To Face Objectives of the Course It is the desire of the Economics Department to present this course in a manner that emphasizes and illustrates the statistical analysis arising from real-world applications. Whenever possible, we will attempt to bring real-life examples and data into the classroom. Upon completion of this course students can proceed in many directions: to further intensive study of statistics, to one or more additional courses in statistics, to the use of statistical methods in other fields of study, or to being a consumer of statistical information in daily life. It is our objective to serve all of these diverse directions. The course is designed to include basic topics deemed crucial for problem formulation and understanding of the foundations of statistical thinking and reasoning. The concepts of statistical analysis will be stressed. The course will place an emphasis on the development of critical thinking skills. The ultimate goal of this course is to equip students with critical analytical ability and pave them the way for exploring modern data mining tools. This course aims 1. To provide the students an opportunity to learn and apply concepts related to statistics, probability theory and data analysis. 2. To improve understanding of basic statistical methods 3. Use statistical tools in solving management and economic problems 4. To build up a basis for the further study of statistics and econometrics. Course Content This course is an intermediate-level statistics course that forms the foundations for the basic and advanced econometrics courses. It gives an introduction to descriptive statistics and probability theory. The main focus of the course is statistical inference of all types and regression analysis. This course aims to equip students with the necessary background and strong foundations in statistical analysis, so they may be able to follow higher-level econometrics and applied statistical research methods courses. The main emphasis is on statistical inference (estimation, confidence intervals, and tests of statistical hypotheses). Familiarity with algebra and calculus is assumed. A practice/exercise-solving session is provided to help students apply their knowledge and master the material seen in the lectures. Assignments carried out using software will form the basis for mastering the material. Course Methods and Techniques Prerequisites and co-requisities ( STAT 101 ) Course Coordinator None Name of Lecturers Asist Prof.Dr. Asad Ul Islam KHAN Assistants None Work Placement(s) No Recommended or Required Reading Resources • [SBE]: Statistics for Business and Economics, Global (8th) Edition by Paul Newbold, William L. Carlson and Betty M. Thorne. Pearson Education Limited • [STBE]: Statistical Techniques in Business & Economics (2020), 18th Edition by Douglas A. Lind, William G. Marchal and Samuel A. Wathen. The McGraw-Hill Irwin. • [CN]: Class Notes and Handouts Tools and Computer Programs: Students will be required to have an MS Office Excel program. Additional programs such as SPSS and Stata are necessary. Students can reach Stata and SPSS via Computer Lab at the University. Course Notes • [STBE]: Statistical Techniques in Business & Economics (2020), 18th Edition by Douglas A. Lind, William G. Marchal and Samuel A. Wathen. The McGraw-Hill Irwin. • [CN]: Class Notes and Handouts Course Category Mathematics and Basic Sciences %70 Social Sciences %30