QUA107: Introduction to Statistics in Business

: Introduction to Statistics in Business: Course Objectives • To provide the student with the basic concepts and terminology of statistical science, including graphical representation and descriptive measures. • To cover different methods of arranging & tabulating and presenting data. • To provide the student the basic concepts of probability theory. • To understand the concept and importance of relationships between variables and to fit mathematical models. • To understand and use Excel software for data analysis and decision making. • To prepare the student to perform scientific interpretation of economic and social phenomena to assist various policy and decision makers. Content of the Course and Session Plan Session Content Sessions 1-3 Basic Concepts of Statistics Types of Statistics Types of Variables Levels of Measurement Sessions 4-9 Describing Data Constructing Frequency Table Constructing Frequency Distributions Graphical presentation of data Sessions 10 - 18 Describing Data : Numerical Measures Measures of central tendency Measures of Dispersion First Midterm (25 points) Sessions 19 - 21 Probability Theory Sessions 22 - 24 Random Variables and Discrete Probability Distributions Sessions 25 - 27 Continuous Probability Distributions Sessions 28 - 33 Simple linear regression and correlation Second Midterm (25 points) Sessions 34 - 38 Time series analysis Sessions 39 - 42 Index numbers Participation and duties (10 points) Final Exam (40 points) Course Objectives • To provide the student with the basic concepts and terminology of statistical science, including graphical representation and descriptive measures. • To cover different methods of arranging & tabulating and presenting data. • To provide the student the basic concepts of probability theory. • To understand the concept and importance of relationships between variables and to fit mathematical models. • To understand and use Excel software for data analysis and decision making. • To prepare the student to perform scientific interpretation of economic and social phenomena to assist various policy and decision makers. Content of the Course and Session Plan Session Content Sessions 1-3 Basic Concepts of Statistics Types of Statistics Types of Variables Levels of Measurement Sessions 4-9 Describing Data Constructing Frequency Table Constructing Frequency Distributions Graphical presentation of data Sessions 10 - 18 Describing Data : Numerical Measures Measures of central tendency Measures of Dispersion First Midterm (25 points) Sessions 19 - 21 Probability Theory Sessions 22 - 24 Random Variables and Discrete Probability Distributions Sessions 25 - 27 Continuous Probability Distributions Sessions 28 - 33 Simple linear regression and correlation Second Midterm (25 points) Sessions 34 - 38 Time series analysis Sessions 39 - 42 Index numbers Participation and duties (10 points) Final Exam (40 points)