Identification Subject (code, title, credits) Prerequisites Department Level Term Instructor E-mail: Classroom/hours Office hours N/A Language Compulsory/Elective English Compulsory Required textbooks and course materials - Mathematics and Statistics (Elements of probability and statistics) 6ECTS credits 12 Days Postgraduate Fall 2023 Elchin Mammadov Elchinmammadov86@yahoo.com Monday, Wednesday, Friday 7- 9.50 pm By appointment. Online. Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Additional materials will be provided by instructor Course outline This is a course in the basic statistical concepts and methods common in business applications. We will focus on learning various statistical techniques and their applications that will assist you in making business decisions. The primary objective of this course is to enable students to perform and understand statistical analysis of data, with the view of being able to critically evaluate outcomes. You will learn to think critically about how statistics is used by others and how it impacts your day-to-day life and career. Learning outcomes At the end of this course, students should be able to: Organize, report and interpret descriptive summary of data Understand basic rules of probability theory and apply basics of probability to roughly assess and analyze day-to-day business issues Differentiate discrete random variable from continuous random variable in order to correctly apply relevant method of statistical analysis Construct and interpret confidence intervals for main population parameters, and draw conclusions based on obtained results Rightfully define the relevance of hypothesis test for a given business problem State and organize hypotheses, and further test them based on given characteristics of sample data Use MS Excel functions and formulas for abovementioned purposes Evaluation Methods Class attendance Assignments Date/deadlines To be determined during the semester 1 Percentage (%) 10 40 Policy 10 Active participation at the seminars 40 Final project 100 Total You are expected to: - attend classes on a regular basis as the classess are conducted in a combined lecture/seminat format where students should play an active part. - read the assigned and suggested readings before you come to class - engage actively in classroom discussions - submit all your assignments on time - follow assignments closely and carefully. Class attendance: Students are required to comply with the attendance policy of University. Full-time students are expected to attend all classes unless they are sick or have the permission of the instructor (approved absence). A student must submit an absence request in anticipation of an absence from the course. In case he/she fails to do so, his absence will be considered unapproved. Specifically, to be eligible for taking exams, students must not miss more than 25% of class hours (unapproved absences). Otherwise, the student can take the exam only with the approval of the School Dean. Continuing unapproved absences or lack of participation may lead to withdrawal from the course. Active Participation: Every student should read the course materials in order to engage the debates and simulations during class. Assignments: Students will have 4 assignments during the semester. Completing assignments in a timely manner is a requirement of the course and an absolute necessity for success. Assignments are individual work and will contain questions for review and practice of covered topics. Assignments will be making 50% of your total grade. Academic misconduct Academic honesty plays an essential part in maintaining the integrity of University. Students are expected to recognize and uphold high standards of intellectual and academic integrity. The following acts are examples of academic dishonesty, therefore are strictly forbidden and will, if proven, be penalized: - plagiarism, - cheating, - unauthorized collaboration, - falsification, - multiple submissions. On plagiarism: 2 Plagiarism is unethical and an offence under the University regulations. Please familiarize yourself with the regulations relating to plagiarism and cheating in examinations. Plagiarism is copying other people's work without proper attribution. The students committing plagiarism and the students providing materials for plagiarizing will automatically receive a zero (0) for the assignment. Students must always indicate that they used someone else's words and ideas if they have done so, by using quotation marks and mentioning the source in the text or a footnote. A bibliography must also follow after the end of your essays. Rules of Professional Conduct The students shall behave in the way to create favorable academic and professional environment during the class hours. Unauthorized discussions and unethical behavior are strictly prohibited. Classroom behavior that seriously interferes with either (a) the instructor’s ability to conduct the class or (b) the ability of other students to benefit from the course program will not be tolerated. When a student’s behavior in a class is so seriously disruptive as to compel immediate action, the instructor has the authority to remove a student from the class on an interim basis, pending an informal hearing on the behavior. Language of Instruction Language of instruction for this module is English. Essays, quiz and exam papers written in a different language will not be marked. Tentative Schedule Date/Day (subject to Topics Readings change if necessary on holidays) Week 1 Syllabus + Introduction Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Chapter 1 6 September Data and statistics Week 2 8 September Week 3 Descriptive Statistics: Tabular and Graphical Displays Descriptive Statistics: 11 September Week 4 13 September Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Chapter 2 Measures location Measures variability of Anderson, Sweeney, and Williams, “Statistics for of Business and Economics”, 11th edition. Chapter 3 Descriptive Statistics: Distribution shape Chebyshev’s Theorem Empirical Rule Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Chapter 3 3 Week 5 13 September Week 6 15 September Week 7 18 September Week 8 20 September Introduction to Probability Discrete Probability Distributions Continuous Probability Distributions Sampling and Sampling Distribution Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Chapter 4 Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Chapter 5 Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Chapter 6 Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Chapter 7 Sample size Week 9 22 September Week 10 determination and Population proportion Interval estimation Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Chapter 8 Hypotheses testing Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Chapter 9 25 September Week 11 27 September Anderson, Sweeney, and Williams, “Statistics for Business and Economics”, 11th edition. Chapter 7 Week 12 29 September Final project If neccesary, some modifications may be made to this syllabus by the instructor. 4