Principles of Statistics for Engineers and Scientists 2nd Edition by William Navidi – Ebook PDF Instant Download/Delivery: 9781260442168 ,1260442160
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ISBN 10: 1260442160
ISBN 13: 9781260442168
Author: William Navidi
Principles of Statistics for Engineers and Scientists 2nd Edition Table of contents:
Chapter 1 Summarizing Univariate Data
Introduction
1.1 Sampling
1.2 Summary Statistics
1.3 Graphical Summaries
Chapter 2 Summarizing Bivariate Data
Introduction
2.1 The Correlation Coefficient
2.2 The Least-Squares Line
2.3 Features and Limitations of the Least-Squares Line
Chapter 3 Probability
Introduction
3.1 Basic Ideas
3.2 Conditional Probability and Independence
3.3 Random Variables
3.4 Functions of Random Variables
Chapter 4 Commonly Used Distributions
Introduction
4.1 The Binomial Distribution
4.2 The Poisson Distribution
4.3 The Normal Distribution
4.4 The Lognormal Distribution
4.5 The Exponential Distribution
4.6 Some Other Continuous Distributions
4.7 Probability Plots
4.8 The Central Limit Theorem
Chapter 5 Point and Interval Estimation for
Introduction
5.1 Point Estimation
5.2 Large-Sample Confidence Intervals for a Population Mean
5.3 Confidence Intervals for Proportions
5.4 Small-Sample Confidence Intervals for a Population Mean
5.5 Prediction Intervals and Tolerance Intervals
Chapter 6 Hypothesis Tests for a Single Sample
Introduction
6.1 Large-Sample Tests for a Population Mean
6.2 Drawing Conclusions from the Results of Hypothesis Tests
6.3 Tests for a Population Proportion
6.4 Small-Sample Tests for a Population Mean
6.5 The Chi-Square Test
6.6 Fixed-Level Testing
6.7 Power
6.8 Multiple Tests
Chapter 7 Inferences for Two Samples
Introduction
7.1 Large-Sample Inferences on the Difference Between Two Population Means
7.2 Inferences on the Difference Between Two Proportions
7.3 Small-Sample Inferences on the Difference Between Two Means
7.4 Inferences Using Paired Data
7.5 Tests for Variances of Normal Populations
Chapter 8 Inference in Linear Models
Introduction
8.1 Inferences Using the Least-Squares Coefficients
8.2 Checking Assumptions
8.3 Multiple Regression
8.4 Model Selection
Chapter 9 Factorial Experiments
Introduction
9.1 One-Factor Experiments
9.2 Pairwise Comparisons in One-Factor Experiments
9.3 Two-Factor Experiments
9.4 Randomized Complete Block Designs
9.5 2p Fractional Experiment
Chapter 10 Statistical Quality Control
Introduction
10.1 Basic Ideas
10.2 Control Charts for Variables
10.3 Control Charts for Attributes
10.4 The CUSUM Chart
10.5 Process Capability
Appendix A: Tables
Appendix B: Bibliography
Answers to Selected Exercises
index
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