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Unformatted text preview: Statistics 112 Statistical Reasoning for Social Sciences Spring 2008 Professor Esfandiari Instructor Name: Mahtash Esfandiari Instructor email: [email protected] Office hours: MW 2-3 or by appointment Days MWF: 12:00 – 1:00 Room for lecture Franz 1260 Overall goal : The overall goal of this class is to introduce you to the discipline of statistics as a science of understanding and analyzing data and not a branch of mathematics. It is hoped that after finishing this class you will be able to use the statistics to solve real world problems and have a better understanding of research conducted in the social sciences. How we will achieve the above goal: We plan to achieve the above goal by introducing you to the relevant statistical knowledge, teaching you how to use a statistical software called STATA to perform data analysis, and having you engage in problem solving, application, analysis, and synthesis of statistical information through on-line quizzes, labs, review exams, and in-class exams. Major topics discussed: • Different methods of sampling • Principles of experimental design and causal inference • Observational studies and non-causal inference • Descriptive statistics including an in-depth discussion of tabular presentations and graphs • Probability distributions for discrete and quantitative variables • The normal distribution • Central Limit Theorem and sampling distributions • Statistical inference with emphasis on confidence interval and sample size selection • Hypothesis testing with emphasis on the concepts of type I and II error and power of the test • One sample test of the mean and proportion for large and small samples • Hypothesis testing with emphasis on calculation and interpretation of the p value...
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This note was uploaded on 06/09/2008 for the course STATS 112 taught by Professor Esfandini during the Spring '08 term at UCLA.
- Spring '08