Solutions Manual to Accompany Modern Engineering Statistics
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The objective of this book is to motivate an appreciation of contemporary statistical techniques within the context of engineering. The author presents an optimum blend between statistical thinking and statistical methodology through emphasis of a broad sweep of "tools" rather than endless streams of seemingly unrelated methods and formulae. The book has many novel features, including (among others) the connection that is made (but rarely illustrated) between hypothesis testing and confidence intervals and the discussions of topics such as mechanistic models and prediction intervals. Though co...
The objective of this book is to motivate an appreciation of contemporary statistical techniques within the context of engineering. The author presents an optimum blend between statistical thinking and statistical methodology through emphasis of a broad sweep of "tools" rather than endless streams of seemingly unrelated methods and formulae. The book has many novel features, including (among others) the connection that is made (but rarely illustrated) between hypothesis testing and confidence intervals and the discussions of topics such as mechanistic models and prediction intervals. Though computing equations are kept to a minimum, MINITAB and JMP from SAS are discretely employed as the statistical software packages of choice due to their simplicity and popularity among Six Sigma enthusiasts. There is a generous selection of homework problems.
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