Introducing the concepts and methods of modern statistics with an emphasis on computer assisted data analysis, the book focuses on interpretation of results rather than their computation. KEY TOPICS: Review of probability, collecting data, summarizing and exploring data, sampling distributions of statistics, basic concepts of inference, linear regression and correlation, analysis of single factor and multifactor Experiments.

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For two-semester, junior/senior-level courses in Introductory Statistics and Data Analysis; and for first-year graduate courses in applied disciplines. This text was written for Junior/Senior or graduate level students with a background in calculus who are required to take one course in statistics. The goal of the text is to introduce future engineers, scientists, economists, applied mathematicians, computer scientists, high school math teachers, experimental psychologists, and others to the concepts and methods of modern statistics and its applications to a wide variety of fields. The text emphasizes computer assisted data analyses as well as the mathematical bases of the underlying statistical methods.

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