Probability and Statistics for Engineering and the Sciences (Metric Version)
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ISBN13:9781337094269
出版社:BROOKS;COLE
作者:Jay L. Devore
出版日:2017/01/01
裝訂:平裝
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:NT$ 1460 元絕版無法訂購
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Make statistics practical for engineering students in any specialty with Probability and Statistics for Engineering and the Sciences 9e (Metric Version). Always a market leader, this calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals put concepts, models, and methodologies to work in today's scientific careers. Jay Devore, an award-winning professor and internationally recognized author and statistician, stresses lively examples and engineering activities to drive home the numbers without overly rigorous mathematical development and derivations. A variety of examples, practice problems, sample tests, and simulations based on real data and issues helps students intuitively understand the material. Proven and accurate, Probability and Statistics for Engineering and the Sciences 9e (Metric Version) also includes graphics and screen shots from SAS®, MINITAB®, and Java™ Applets to give students a solid perspective of statistics in action.
作者簡介
Jay L. Devore
現職:California Polytechnic State University
現職:California Polytechnic State University
目次
Ch 1 Overview and Descriptive Statistics
Ch 2 Probability
Ch 3 Discrete Random Variables and Probability Distributions
Ch 4 Continuous Random Variables and Probability Distributions
Ch 5 Joint Probability Distributions and Random Samples
Ch 6 Point Estimation
Ch 7 Statistical Intervals Based on a Single Sample
Ch 8 Tests Of Hypothesis Based on a Single Sample
Ch 9 Inferences Based on Two Samples
Ch10 The Analysis of Variance
Ch11 Multifactor Analysis of Variance
Ch12 Simple Linear Regression and Correlation
Ch13 Nonlinear and Multiple Regression
Ch14 Goodness-of-Fit Tests and Categorical Data Analysis
Ch15 Distribution-Free Procedures
Ch16 Quality Control Methods
Ch 2 Probability
Ch 3 Discrete Random Variables and Probability Distributions
Ch 4 Continuous Random Variables and Probability Distributions
Ch 5 Joint Probability Distributions and Random Samples
Ch 6 Point Estimation
Ch 7 Statistical Intervals Based on a Single Sample
Ch 8 Tests Of Hypothesis Based on a Single Sample
Ch 9 Inferences Based on Two Samples
Ch10 The Analysis of Variance
Ch11 Multifactor Analysis of Variance
Ch12 Simple Linear Regression and Correlation
Ch13 Nonlinear and Multiple Regression
Ch14 Goodness-of-Fit Tests and Categorical Data Analysis
Ch15 Distribution-Free Procedures
Ch16 Quality Control Methods
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