Statistical Methods Lecture Notes PDF

Statistical Methods Dr. Sameh Zarif Lecture #1 General Rules  Course Purpose & Description ❖The use of statistical methods for analyzing data that has become common practice in almost all scientific disciplines. ❖This course attempts to provide a comprehensive introduction to statis...

Statistical Methods Dr. Sameh Zarif Lecture #1 General Rules  Course Purpose & Description ❖The use of statistical methods for analyzing data that has become common practice in almost all scientific disciplines. ❖This course attempts to provide a comprehensive introduction to statistical methods. ❖This course provides advanced topics to statistical methods with applications. Topics include: hypothesis testing, confidence intervals, simple and multiple regression, correlation and nonparametric statistics.  Course Outlines ❖ Chapter 1 An Overview of Statistics ❖ Chapter 2 Confidence Limits ❖ Chapter 3 Hypothesis Testing ❖ Chapter 4 Categorical Data Analysis and Analysis of Variance ❖ Chapter 5 Linear regression and correlation ❖ Chapter 6 Multiple regression ❖ Chapter 7 Nonparametric statistics  Course Materials ❖All support materials for this course will be available at our course drive: ❖This includes ▪ All Lectures in.pdf format ▪ All Problem sheets in.pdf format ▪ All Lab sheets in.pdf format ▪ Links to support information on particular topics  How to do well in the course ❖Statistics are a problem-solving subject. Practice in problem solving, and understanding the assigned reading and homework are essential to success on the exams. Suggestions for success in the class: ❖Do the reading before attending lecture. ❖Do the homework. Do your own work. You may discuss problems with classmates, but don't copy from them. ❖Study and practice solving problems before taking quizzes and exams.  Chapter 1 AN OVERVIEW OF STATISTICS Data and Statistics Populations & Samples Parameters & Statistics Parameters & Statistics Branches of Statistics Involves the Involves using a organization, sample to draw summarization, conclusions and display of about a population. data. Descriptive and Inferential Statistics Types of Data Qualitative and Quantitative Data Levels of Measurement Nominal Level of Measurement Ordinal Level of Measurement Interval Level of Measurement Ratio Level of Measurement Summary of Levels of Measurement Designing a Statistical Study Methods of Data Collection Stratified Samples Cluster Samples Systematic Samples Convenience Samples Identifying the Sampling Technique Thank You!