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Sokution Manual for Probability and Statistics for Engineering and the Sciences 9th Edition by Jay L. Devore

By: Jay L. Devore
ISBN-10: 1305465326
/ ISBN-13: 9781305465329

Resource Type Information

Edition: 9th Edition
Authors: Jay L. Devore
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Description

    Contents

    Preface

    Ch 1: Overview and Descriptive Statistics

  • Introduction
  • 1.1 Populations, Samples, and Processes
  • 1.2 Pictorial and Tabular Methods in Descriptive Statistics
  • 1.3 Measures of Location
  • 1.4 Measures of Variability
  • Supplementary Exercises
  • Bibliography
  • Ch 2: Probability

  • Introduction
  • 2.1 Sample Spaces and Events
  • 2.2 Axioms, Interpretations, and Properties of Probability
  • 2.3 Counting Techniques
  • 2.4 Conditional Probability
  • 2.5 Independence
  • Supplementary Exercises
  • Bibliography
  • Ch 3: Discrete Random Variables and Probability Distributions

  • Introduction
  • 3.1 Random Variables
  • 3.2 Probability Distributions for Discrete Random Variables
  • 3.3 Expected Values
  • 3.4 The Binomial Probability Distribution
  • 3.5 Hypergeometric and Negative Binomial Distributions
  • 3.6 The Poisson Probability Distribution
  • Supplementary Exercises
  • Bibliography
  • Ch 4: Continuous Random Variables and Probability Distributions

  • Introduction
  • 4.1 Probability Density Functions
  • 4.2 Cumulative Distribution Functions and Expected Values
  • 4.3 The Normal Distribution
  • 4.4 The Exponential and Gamma Distributions
  • 4.5 Other Continuous Distributions
  • 4.6 Probability Plots
  • Supplementary Exercises
  • Bibliography
  • Ch 5: Joint Probability Distributions and Random Samples

  • Introduction
  • 5.1 Jointly Distributed Random Variables
  • 5.2 Expected Values, Covariance, and Correlation
  • 5.3 Statistics and Their Distributions
  • 5.4 The Distribution of the Sample Mean
  • 5.5 The Distribution of a Linear Combination
  • Supplementary Exercises
  • Bibliography
  • Ch 6: Point Estimation

  • Introduction
  • 6.1 Some General Concepts of Point Estimation
  • 6.2 Methods of Point Estimation
  • Supplementary Exercises
  • Bibliography
  • Ch 7: Statistical Intervals Based on a Single Sample

  • Introduction
  • 7.1 Basic Properties of Confidence Intervals
  • 7.2 Large-Sample Confidence Intervals for a Population Mean and Proportion
  • 7.3 Intervals Based on a Normal Population Distribution
  • 7.4 Confidence Intervals for the Variance and Standard Deviation of a Normal Population
  • Supplementary Exercises
  • Bibliography
  • Ch 8: Tests of Hypotheses Based on a Single Sample

  • Introduction
  • 8.1 Hypotheses and Test Procedures
  • 8.2 z Tests for Hypotheses about a Population Mean
  • 8.3 The One-Sample t Test
  • 8.4 Tests Concerning a Population Proportion
  • 8.5 Further Aspects of Hypothesis Testing
  • Supplementary Exercises
  • Bibliography
  • Ch 9: Inferences Based on Two Samples

  • Introduction
  • 9.1 z Tests and Confidence Intervals for a Difference between Two Population Means
  • 9.2 The Two-Sample t Test and Confidence Interval
  • 9.3 Analysis of Paired Data
  • 9.4 Inferences Concerning a Difference between Population Proportions
  • 9.5 Inferences Concerning Two Population Variances
  • Supplementary Exercises
  • Bibliography
  • Ch 10: The Analysis of Variance

  • Introduction
  • 10.1 Single-Factor ANOVA
  • 10.2 Multiple Comparisons in ANOVA
  • 10.3 More on Single-Factor ANOVA
  • Supplementary Exercises
  • Bibliography
  • Ch 11: Multifactor Analysis of Variance

  • Introduction
  • 11.1 Two-Factor ANOVA with Kij = 1
  • 11.2 Two-Factor ANOVA with Kij > 1
  • 11.3 Three-Factor ANOVA
  • 11.4 2p Factorial Experiments
  • Supplementary Exercises
  • Bibliography
  • Ch 12: Simple Linear Regression and Correlation

  • Introduction
  • 12.1 The Simple Linear Regression Model
  • 12.2 Estimating Model Parameters
  • 12.3 Inferences about the Slope Parameter B1
  • 12.4 Inferences Concerning uY . x* and the Prediction of Future Y Values
  • 12.5 Correlation
  • Supplementary Exercises
  • Bibliography
  • Ch 13: Nonlinear and Multiple Regression

  • Introduction
  • 13.1 Assessing Model Adequacy
  • 13.2 Regression with Transformed Variables
  • 13.3 Polynomial Regression
  • 13.4 Multiple Regression Analysis
  • 13.5 Other Issues in Multiple Regression
  • Supplementary Exercises
  • Bibliography
  • Ch 14: Goodness-of-Fit Tests and Categorical Data Analysis

  • Introduction
  • 14.1 Goodness-of-Fit Tests When Category Probabilities are Completely Specified
  • 14.2 Goodness-of-Fit Tests for Composite Hypotheses
  • 14.3 Two-Way Contingency Tables
  • Supplementary Exercises
  • Bibliography
  • Ch 15: Distribution-Free Procedures

  • Introduction
  • 15.1 The Wilcoxon Signed-Rank Test
  • 15.2 The Wilcoxon Rank-Sum Test
  • 15.3 Distribution-Free Confidence Intervals
  • 15.4 Distribution-Free ANOVA
  • Supplementary Exercises
  • Bibliography
  • Ch 16: Quality Control Methods

  • Introduction
  • 16.1 General Comments on Control Charts
  • 16.2 Control Charts for Process Location
  • 16.3 Control Charts for Process Variation
  • 16.4 Control Charts for Attributes
  • 16.5 CUSUM Procedures
  • 16.6 Acceptance Sampling
  • Supplementary Exercises
  • Bibliography
  • Appendix Tables

    Answers to Selected Odd-Numbered Exercises

    Glossary of Symbols/Abbreviations

    Index


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Ebook Title:

Edition:

9th-edition

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