Statistics for Engineers and Scientists

Námskeið
- T-302-TOLF Tölfræði I
Lýsing:
Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets, to help motivate students and show direct connections to industry and research.
While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition. McGraw-Hill Education's Connect is also available. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective.
Annað
- Höfundur: William Navidi
- Útgáfa:5
- Útgáfudagur: 29-01-2019
- Hægt að prenta út 2 bls.
- Hægt að afrita 2 bls.
- Format:ePub
- ISBN 13: 9781260569889
- Print ISBN: 9781260547887
- ISBN 10: 1260569888
Efnisyfirlit
- Cover Page
- Title Page
- Copyright Information
- Dedication
- About the Author
- Brief Contents
- Contents
- Preface
- Key Features
- Connect
- Chapter 1 Sampling and Descriptive Statistics
- Introduction
- 1.1 Sampling
- 1.2 Summary Statistics
- 1.3 Graphical Summaries
- Chapter 2 Probability
- Introduction
- 2.1 Basic Ideas
- 2.2 Counting Methods
- 2.3 Conditional Probability and Independence
- 2.4 Random Variables
- 2.5 Linear Functions of Random Variables
- 2.6 Jointly Distributed Random Variables
- Chapter 3 Propagation of Error
- Introduction
- 3.1 Measurement Error
- 3.2 Linear Combinations of Measurements
- 3.3 Uncertainties for Functions of One Measurement
- 3.4 Uncertainties for Functions of Several Measurements
- Chapter 4 Commonly Used Distributions
- Introduction
- 4.1 The Bernoulli Distribution
- 4.2 The Binomial Distribution
- 4.3 The Poisson Distribution
- 4.4 Some Other Discrete Distributions
- 4.5 The Normal Distribution
- 4.6 The Lognormal Distribution
- 4.7 The Exponential Distribution
- 4.8 Some Other Continuous Distributions
- 4.9 Some Principles of Point Estimation
- 4.10 Probability Plots
- 4.11 The Central Limit Theorem
- 4.12 Simulation
- Chapter 5 Confidence Intervals
- Introduction
- 5.1 Large-Sample Confidence Intervals for a Population Mean
- 5.2 Confidence Intervals for Proportions
- 5.3 Small-Sample Confidence Intervals for a Population Mean
- 5.4 Confidence Intervals for the Difference Between Two Means
- 5.5 Confidence Intervals for the Difference Between Two Proportions
- 5.6 Small-Sample Confidence Intervals for the Difference Between Two Means
- 5.7 Confidence Intervals with Paired Data
- 5.8 Confidence Intervals for the Variance and Standard Deviation of a Normal Population
- 5.9 Prediction Intervals and Tolerance Intervals
- 5.10 Using Simulation to Construct Confidence Intervals
- Chapter 6 Hypothesis Testing
- 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 Large-Sample Tests for the Difference Between Two Means
- 6.6 Tests for the Difference Between Two Proportions
- 6.7 Small-Sample Tests for the Difference Between Two Means
- 6.8 Tests with Paired Data
- 6.9 Distribution-Free Tests
- 6.10 Tests with Categorical Data
- 6.11 Tests for Variances of Normal Populations
- 6.12 Fixed-Level Testing
- 6.13 Power
- 6.14 Multiple Tests
- 6.15 Using Simulation to Perform Hypothesis Tests
- Chapter 7 Correlation and Simple Linear Regression
- Introduction
- 7.1 Correlation
- 7.2 The Least-Squares Line
- 7.3 Uncertainties in the Least-Squares Coefficients
- 7.4 Checking Assumptions and Transforming Data
- Chapter 8 Multiple Regression
- Introduction
- 8.1 The Multiple Regression Model
- 8.2 Confounding and Collinearity
- 8.3 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 Factorial Experiments
- 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: Partial Derivatives
- Appendix C: Bibliography
- Answers to Odd-Numbered Exercises
- Index
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- Gerð : 208
- Höfundur : 14840
- Útgáfuár : 2019
- Leyfi : 380