Fundamentals of Statistics and Probability Theory: A Tutorial Approach Vol. 1 Porbability Theory

About The Author Howard Dachslager received a Ph.D. in mathematics from the University of California, Berkeley where he specialized in real analysis and probability theory. Prior to beginning his doctoral studies at the University of California, Berkeley, he earned a masters degree in economics from the University of Wisconsin. Since completing his Ph.D. in mathematics, he has taught mathematics to a diverse student population on many levels. As a faculty member of the Department of Mathematics at the University of Toronto he prepared and presented undergraduate level courses in mathematics. For several years he taught undergraduate mathematics courses in the Department of Mathematics, University of California. While working in the State Department's Alliance for Progress program, he taught advanced mathematics courses at a statistics institute in Santiago, Chile. Other teaching experience includes presenting undergraduate and community college mathematics courses. Throughout his teaching career in mathematics, he has always attempted to find and use the most effective teaching methodologies to communicate an understanding of mathematics. Unable to find an appropriate text for use in his courses in statistics and probability theory, and drawing on his own extensive teaching experience, education and training, he developed a tutorial statistics and probability theory text that has significantly improved the performance of students in those courses. By focusing on problem solving, the student can learn to repeat the methodologies involved, reinforcing on understanding of the concepts clearly explained in the text.