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This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. Applied Statistics for Engineers and Scientists emphasizes application of methods to real problems, with real examples throughout.
Data and Distributions
Populations, Samples, and Processes
Visual Displays for Univariate Data
Describing Distributions
The Normal Distribution
Other Continuous Distributions
Several Useful Discrete Distributions
Supplementary Exercises
Numerical Summary Measures
Measures of Center
Measures of Variability
More Detailed Summary Quantities
Quantile Plots
Supplementary Exercises
Bivariate and Multivariate Data and Distributions
Scatterplots
Correlation
Fitting a Line to Bivariate Data
Nonlinear Relationships
Using More Than One Predictor
Joint Distributions
Supplementary Exercises
Obtaining Data
Operational Definitions
Data from Sampling
Data from Experiments
Measurement Systems
Supplementary Exercises
Probability and Sampling Distributions
Chance Experiments
Probability Concepts
Conditional Probability and Independence
Random Variables
Sampling Distributions
Describing Sampling Distributions
Supplementary Exercises
Quality and Reliability
Terminology
How Control Charts Work
Control Charts for Mean and Variation
Process Capability Analysis
Control Charts for Attributes Data
Reliability
Supplementary Exercises
Estimation and Statistical Intervals
Point Estimation
Large-Sample Confidence Intervals for a Population Mean
More Large-Sample Confidence Intervals
Small-Sample Intervals Based on a Normal Population Distribution
Intervals for μ1 – μ2 Based on Normal Population Distributions
Other Topics in Estimation (Optional)
Supplementary Exercise
Testing Statistical Hypotheses
Hypotheses and Test Procedures
Tests Concerning Hypotheses About Means
Tests Concerning Hypotheses About a Categorical Population
Testing the Form of a Distribution
Further Aspects of Hypothesis Testing
Supplementary Exercises
The Analysis of Variance
Terminology and Concepts
Single-Factor ANOVA
Interpreting ANOVA Results
Randomized Block Experiments
Supplementary Exercises
Experimental Design
Terminology and Concepts
Two-Factor Designs
Multifactor Designs
2k Designs
Fractional Factorial Designs
Supplementary Exercises
Inferential Methods in Regression and Correlation
Regression Models Involving a Single Independent Variable
Inferences About the Slope Coefficient β
Inferences Based on the Estimated Regression Line
Multiple Regression Models
Inferences in Multiple Regression
Further Aspects of Regression Analysis
Supplementary Exercises
Appendix Tables
Answers to Odd-Numbered Exercises
Index