Name: Bundle: Probability and Statistics for Engineering and the Sciences, Loose-leaf Version, 9th + WebAssign Printed Access Card for Devore's Probability ... and the Sciences, 9th Edition, Single-Term
Author: Jay L. Devore
ISBN: 9781337762021

Chapter 1 - Overview And Descriptive Statistics Chapter 1.1 - Populations, Samples, And Processes Chapter 1.2 - Pictorial And Tabular Methods In Descriptive Statistics Chapter 1.3 - Measures Of Location Chapter 1.4 - Measures Of Variability Chapter 2 - Probability Chapter 2.1 - Sample Spaces And Events Chapter 2.2 - Axioms, Interpretations And Properties Of Probability Chapter 2.3 - Counting Techniques Chapter 2.4 - Conditional Probability

Chapter 2.5 - Independence Chapter 3 - Discrete Random Variables And Probability Distributions Chapter 3.1 - Random Variables Chapter 3.2 - Probability Distributions For Discrete Random Variables Chapter 3.3 - Expected Values Chapter 3.4 - The Binomial Probability Distribution Chapter 3.5 - Hypergeometric And Negative Binomial Distributions Chapter 3.6 - The Poisson Probability Distribution Chapter 4 - Continuous Random Variables And Probability Distributions Chapter 4.1 - Probability Density Functions Chapter 4.2 - Cumulative Distribution Functions And Expected Values Chapter 4.3 - The Normal Distribution Chapter 4.4 - The Exponential And Gamma Distributions Chapter 4.5 - Other Continuous Distributions Chapter 4.6 - Probability Plots Chapter 5 - Joint Probability Distributions And Random Samples Chapter 5.1 - Jointly Distributed Random Variables Chapter 5.2 - Expected Values, Covariance, And Correlation Chapter 5.3 - Statistics And Their Distributions Chapter 5.4 - The Distribution Of The Sample Mean Chapter 5.5 - The Distribution Of A Linear Combination Chapter 6 - Point Estimation Chapter 6.1 - Some General Concepts Of Point Estimation Chapter 6.2 - Methods Of Point Estimation Chapter 7 - Statistical Intervals Based On A Single Sample Chapter 7.1 - Basic Properties Of Confidence Intervals Chapter 7.2 - Large-sample Confidence Intervals For A Population Mean And Proportion Chapter 7.3 - Intervals Based On A Normal Population Distribution Chapter 7.4 - Confidence Intervals For The Variance And Standard Deviation Of A Normal Population Chapter 8 - Tests Of Hypotheses Based On A Single Sampls Chapter 8.1 - Hypotheses And Test Procedures Chapter 8.2 - Z Tests For Hypotheses About A Population Mean Chapter 8.3 - The One-sample T Test Chapter 8.4 - Tests Concerning A Population Proportion Chapter 8.5 - Further Aspects Of Hypothesis Testing Chapter 9 - Inferences Based On Two Samples Chapter 9.1 - Z Tests And Confidence Intervals For A Difference Between Two Population Means Chapter 9.2 - The Two-sample T Test And Confidence Interval Chapter 9.3 - Analysis Of Paired Data Chapter 9.4 - Inferences Concerning A Difference Between Population Proportions Chapter 9.5 - Inferences Concerning Two Population Variances Chapter 10 - The Analysis Of Variance Chapter 10.1 - Single-factor Anova Chapter 10.2 - Multiple Comparisons In Anova Chapter 10.3 - More On Single-factor Anova Chapter 11 - Multifactor Analysis Of Variance Chapter 11.1 - Two-factor Anova With Kij =1 Chapter 11.2 - Two-factor Anova With Kij .>1 Chapter 11.3 - Three-factor Anova Chapter 11.4 - 2p Factorial Experiments Chapter 12 - Simple Linear Regression And Correlation Chapter 12.1 - The Simple Linear Regression Model Chapter 12.2 - Estimating Model Parameters Chapter 12.3 - Inferences About The Slope Parameter B1 Chapter 12.4 - Inferences Concerning My ? X* And The Prediction Of Future Y Values Chapter 12.5 - Correlation Chapter 13 - Nonlinear And Multiple Regression Chapter 13.1 - Assessing Model Adequacy Chapter 13.2 - Regression With Transformed Variables Chapter 13.3 - Polynomial Regression Chapter 13.4 - Multiple Regression Analysis Chapter 13.5 - Other Issues In Multiple Regression Chapter 14 - Goodness-of-fit Tests And Categorical Data Analysis Chapter 14.1 - Goodness-of-fit Tests When Category Probabilities Are Completely Specified Chapter 14.2 - Goodness-of-fit Tests For Composite Hypotheses Chapter 14.3 - Two-way Contingency Tables Chapter 15 - Distribution-free Procedures Chapter 15.1 - The Wilcoxon Signed-rank Test Chapter 15.2 - The Wilcoxon Rank-sum Test Chapter 15.3 - Distribution-free Confidence Intervals Chapter 15.4 - Distribution-free Anova Chapter 16 - Quality Control Methods Chapter 16.1 - General Comments On Control Charts Chapter 16.2 - Control Charts For Process Location Chapter 16.3 - Control Charts For Process Variation Chapter 16.4 - Control Charts For Attributes Chapter 16.5 - Cusum Procedures Chapter 16.6 - Acceptance Sampling

Book Details

Make statistics relevant and practical for students in any discipline of engineering or science with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9TH EDITION. Always a market leader, this calculus-based approach offers a comprehensive introduction to probability and statistics that emphasizes concepts, models, and methodology while also including underlying rationale, where appropriate. In otherwords, this is not simply a cookbook approach. Jay Devore, an award-winning professor and internationally recognized author and statistician, includes a plethora of authentic problem scenarios in examples and exercises, many of which utilize real data.

Sample Solutions for this Textbook

We offer sample solutions for Bundle: Probability and Statistics for Engineering and the Sciences, Loose-leaf Version, 9th + WebAssign Printed Access Card for Devore's Probability ... and the Sciences, 9th Edition, Single-Term homework problems. See examples below:

Chapter 1.2, Problem 19E Chapter 1.2, Problem 28E Chapter 1.3, Problem 35E Chapter 1.4, Problem 48E Chapter 1, Problem 62SE Chapter 1, Problem 79SE Given info: The data represents the observed value of response variable x at time t. The observed...Chapter 2.1, Problem 2E Chapter 2.2, Problem 13E