# 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

\$30.00 \$25.00

## 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
• 13.2 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