Front Cover -- Statistics and Probability for Engineering Applications -- Copyright Page -- Contents -- Preface -- What's on the CD-ROM? -- List of Symbols -- Chapter 1. Introduction: Probability and Statistics -- 1.1 Some Important Terms -- 1.2 What does this book contain? -- Chapter 2. Basic Probability -- 2.1 Fundamental Concepts -- 2.2 Basic Rules of Combining Probabilities -- 2.3 Permutations and Combinations -- 2.4 More Complex Problems: Bayes' Rule -- Chapter 3. Descriptive Statistics: Summary Numbers -- 3.1 Central Location -- 3.2 Variability or Spread of the Data -- 3.3 Quartiles, Deciles, Percentiles, and Quantiles -- 3.4 Using a Computer to Calculate Summary Numbers -- Chapter 4. Grouped Frequencies and Graphical Descriptions -- 4.1 Stem-and-Leaf Displays -- 4.2 Box Plots -- 4.3 Frequency Graphs of Discrete Data -- 4.4 Continuous Data: Grouped Frequency -- 4.5 Use of Computers -- Chapter 5. Probability Distributions of Discrete Variables -- 5.1 Probability Functions and Distribution Functions -- 5.2 Expectation and Variance -- 5.3 Binomial Distribution -- 5.4 Poisson Distribution -- 5.5 Extension: Other Discrete Distributions -- 5.6 Relation Between Probability Distributions and Frequency Distributions -- Chapter 6. Probability Distributions of Continuous Variables -- 6.1 Probability from the Probability Density Function -- 6.2 Expected Value and Variance -- 6.3 Extension: Useful Continuous Distributions -- 6.4 Extension: Reliability -- Chapter 7. The Normal Distribution -- 7.1 Characteristics -- 7.2 Probability from the Probability Density Function -- 7.3 Using Tables for the Normal Distribution -- 7.4 Using the Computer -- 7.5 Fitting the Normal Distribution to Frequency Data -- 7.6 Normal Approximation to a Binomial Distribution -- 7.7 Fitting the Normal Distribution to Cumulative Frequency Data.

7.8 Transformation of Variables to Give a Normal Distribution -- Chapter 8. Sampling and Combination of Variables -- 8.1 Sampling -- 8.2 Linear Combination of Independent Variables -- 8.3 Variance of Sample Means -- 8.4 Shape of Distribution of Sample Means: Central Limit Theorem -- Chapter 9. Statistical Inferences for the Mean -- 9.1 Inferences for the Mean when Variance Is Known -- 9.2 Inferences for the Mean when Variance Is Estimated from a Sample -- Chapter 10. Statistical Inferences for Variance and Proportion -- 10.1 Inferences for Variance -- 10.2 Inferences for Proportion -- Chapter 11. Introduction to Design of Experiments -- 11.1 Experimentation vs. Use of Routine Operating Data -- 11.2 Scale of Experimentation -- 11.3 One-factor-at-a-time vs. Factorial Design -- 11.4 Replication -- 11.5 Bias Due to Interfering Factors -- 11.6 Fractional Factorial Designs -- Chapter 12. Introduction to Analysis of Variance -- 12.1 One-way Analysis of Variance -- 12.2 Two-way Analysis of Variance -- 12.3 Analysis of Randomized Block Design -- 12.4 Concluding Remarks -- Chapter 13. Chi-squared Test for Frequency Distributions -- 13.1 Calculation of the Chi-squared Function -- 13.2 Case of Equal Probabilities -- 13.3 Goodness of Fit -- 13.4 Contingency Tables -- Chapter 14. Regression and Correlation -- 14.1 Simple Linear Regression -- 14.2 Assumptions and Graphical Checks -- 14.3 Statistical Inferences -- 14.4 Other Forms with Single Input or Regressor -- 14.5 Correlation -- 14.6 Extension: Introduction to Multiple Linear Regression -- Chapter 15. Sources of Further Information -- 15.1 Useful Reference Books -- 15.2 List of Selected References -- Appendices -- Appendix A: Tables -- Appendix B: Some Properties of Excel Useful During the Learning Process -- Appendix C: Functions Useful Once the Fundamentals Are Understood.

Appendix D: Answers to Some of the Problems -- Engineering Problem-Solver Index -- Index.