# PROBABILITY AND STATISTICS FOR ENGINEERING AND SCIENCES 8TH EDITION

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Chapter 1: Outline and also Descriptive Statistics 1.1: Populations, Samples, and also Processes (5) 1.2: Pictorial and also Tabular Methods in Descriptive Statistics (12) 1.3: Measures of Location (7) 1.4: Measures of Variability (9) 1: Supplementary Exercises Extra Problems Extra Problems Extra Problems (3) Active Example (7) Chapter 2: Sample Spaces and Events 2.1: Sample Spaces and Events (6) 2.2: Axioms, Interpretations, and Properties of Probcapability (11) 2.3: Counting Techniques (7) 2.4: Conditional Probability (13) 2.5: Independence (8) 2: Supplementary Exercises Extra Problems Extra Problems Extra Problems Active Example (10) Chapter 3: Discrete Random Variables and also Probability Distributions 3.1: Random Variables (5) 3.2: Probability Distributions for Discrete Random Variables (12) 3.3: Expected Values (7) 3.4: The Binomial Probability Distribution (10) 3.5: Hypergeometric and Negative Binomial Distributions (5) 3.6: The Poisboy Probcapability Distribution (8) 3: Supplementary Exercises Extra Problems Extra Problems Extra Problems Active Example (9) Chapter 4: Continuous Random Variables and also Probcapability Distributions 4.1: Probability Density Functions (7) 4.2: Cumulative Distribution Functions and also Expected Values (9) 4.3: The Common Distribution (15) 4.4: The Exponential and also Gamma Distributions (5) 4.5: Other Continuous Distributions (6) 4.6: Probcapability Plots (2) 4: Supplementary Exercises Extra Problems Extra Problems Extra Problems Active Example (9) Chapter 5: Joint Probcapacity Distributions and also Random Samples 5.1: Jointly Distributed Random Variables (13) 5.2: Expected Values, Covariance, and also Correlation (10) 5.3: Statistics and Their Distributions (6) 5.4: The Distribution of the Sample Mean (7) 5.5: The Distribution of a Liclose to Combination (4) 5: Supplementary Exercises Extra Problems Extra Problems Extra Problems Active Example (10) Chapter 6: Point Estimation 6.1: Some General Concepts and also Point Estimation (18) 6.2: Methods of Point Estimation (10) 6: Supplementary Exercises (6) Extra Problems Extra Problems Extra Problems Active Example (9) Chapter 7: Statistical Intervals Based on a Single Sample 7.1: Basic Properties of Confidence Intervals (8) 7.2: Large-Sample Confidence Intervals for a Population Average and Propercent (10) 7.3: Intervals Based on a Typical Population Distribution (9) 7.4: Confidence Intervals for the Variance and Standard Deviation of a Regular Population (4) 7: Supplementary Exercises (4) Extra Problems Extra Problems Extra Problems Active Example (8) Chapter 8: Tests of Hypotheses Based on a Single Sample 8.1: Hypotheses and Test Procedures (7) 8.2: Tests About a Population Average (13) 8.3: Tests Worrying a Population Proportion (6) 8.4: P-Values (7) 8.5: Some Comments on Selecting a Test (2) 8: Supplementary Exercises (1) Extra Problems Extra Problems Extra Problems Active Example (7) Chapter 9: Inferences Based on Two Samples 9.1: z Tests and Confidence Intervals for a Difference Between Two Population Means (10) 9.2: The Two-Sample t Test and Confidence Interval (11) 9.3: Analysis of Paired File (4) 9.4: Inferences Worrying a Difference Between Population Prosections (4) 9.5: Inferences Worrying Two Population Variances (4) 9: Supplementary Exercises Extra Problems Extra Problems Extra Problems (1) Active Example (9) Chapter 10: The Analysis of Variance 10.1: Single-Factor ANOVA (7) 10.2: Multiple Comparisons in ANOVA (9) 10.3: More on Single-Factor ANOVA (9) 10: Supplementary Exercises (5) Extra Problems Extra Problems Extra Problems Active Example (10) Chapter 11: Multiaspect Analysis of Variance 11.1: Two-Factor ANOVA through Kij = 1 (11) 11.2: Two-Factor ANOVA via Kij > 1 (5) 11.3: Three-Factor ANOVA (5) 11.4: 2p Factorial Experiments (4) 11: Supplementary Exercises (9) Extra Problems Extra Problems Extra Problems Active Example (7) Chapter 12: Simple Liclose to Regression and Correlation 12.1: The Simple Liclose to Regression Model (4) 12.2: Estimating Model Parameters (9) 12.3: Inferences About the Slope Parameter β1 (7) 12.4: Inferences Worrying µY · x* and the Prediction of Future Y Values (5) 12.5: Correlation (7) 12: Supplementary Exercises (2) Extra Problems Extra Problems Extra Problems Active Example (8) Chapter 13: Nonstraight and Multiple Regression 13.1: Assessing Model Adequacy (5) 13.2: Regression through Transcreated Variables (5) 13.3: Polynomial Regression (4) 13.4: Multiple Regression Analysis (13) 13.5: Other Issues in Multiple Regression (2) 13: Supplementary Exercises (5) Extra Problems Extra Problems Extra Problems Active Example (9) Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis 14.1: Goodness-of-Fit Tests When Group Probabilities Are Completely Specified (6) 14.2: Goodness-of-Fit Tests for Composite Hypotheses (7) 14.3: Two-Way Contingency Tables (8) 14: Supplementary Exercises (7) Extra Problems Extra Problems Extra Problems Active Example (10) Chapter 15: Distribution-Free Procedures 15.1: The Wilcoxon Signed-Rank Test (6) 15.2: The Wilcoxon Rank-Sum Test (6) 15.3: Distribution-Free Confidence Intervals (5) 15.4: Distribution-Free ANOVA (5) 15: Supplementary Exercises (8) Extra Problems Extra Problems Extra Problems (1) Active Example (9) Chapter 16: Quality Control Methods 16.1: General Comments on Control Charts (3) 16.2: Control Charts for Process Location (10) 16.3: Control Charts for Process Variation (3) 16.4: Control Charts for Attributes (8) 16.5: CUSUM Procedures (4) 16.6: Acceptance Sampling (6) 16: Supplementary Exercises (2) Extra Problems Extra Problems Extra Problems Active Example (9)