This First Edition of Statistics moves the curriculum in innovative ways while still looking relatively familiar. Statistics utilizes intuitive methods to introduce the fundamental idea of statistical inference. These intuitive methods are enabled through statistical software and are accessible at very early stages of a course. The text also includes the more traditional methods such as t-tests, chi-square tests, etc., but only after students have developed a strong intuitive understanding of inference through randomization methods.
The text is designed for use in a one-semester introductory statistics course. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The text is driven by real data and real applications. Although the only prerequisite is a minimal working knowledge of algebra, students completing the course should be able to accurately interpret statistical results and to analyze straightforward data sets.
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A brief introduction gives an overview of the basic principles and elementary instrumental methods of NMR. This is followed by instructional strategy and tactical advice on how to translate spectra into meaningful structural information. The book provides the student with 55 sets of spectra of graduated complexity. These are designed to challenge the student's problem-solving abilities by the introduction of new concepts with each group of problems, followed by possible solutions and full explanations. A formula index of solutions is provided at the end of the text.
This third edition, following on from the second (a reprint of the first edition with corrections), presents significant new material. Thus, actual methods of two-dimensional NMR such as some inverse techniques of heteronuclear shift correlation, as well as the detection of proton-proton connectivities and nuclear Overhauser effects are included. To demonstrate the applications of these methods, new problems have replaced those of previous editions.
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