
Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists
About this book
A solutions manual to accompanyĀ Statistics and Probability with Applications for Engineers andĀ Scientists
Unique among books of this kind,Ā Statistics and Probability with Applications for Engineers andĀ ScientistsĀ covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages MinitabĀ® and MicrosoftĀ® Office ExcelĀ® to analyze various data sets. The book also features:
- Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices
- A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method
- Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology
- A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP Ā® routines and results
Assuming no background in probability and statistics,Ā Statistics and Probability with Applications for Engineers and ScientistsĀ features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.
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Information
Table of contents
- Cover
- Title Page
- Copyright
- Chapter 2: Describing Data Graphically and Numerically
- Chapter 3: Elements of Probability
- Chapter 4: Discrete Random Variables and Some Important Discrete Probability Distributions
- Chapter 5: Continuous Random Variables and Some Important Continuous Probability Distributions
- Chapter 6: Distribution of Functions of Random Variables
- Chapter 7: Sampling Distributions
- Chapter 8: Estimation of Population Parameters
- Chapter 9: Hypothesis Testing
- Chapter 10: Elements of Reliability Theory
- Chapter 11: Statistical Quality Control Phase I Control Charts
- Chapter 12: Statistical Quality Control Phase II Control Charts
- Chapter 13: Analysis of Categorical Data
- Chapter 14: Nonparametric Tests
- Chapter 15: Simple Linear Regression Analysis
- Chapter 16: Multiple Linear Regression Analysis
- Chapter 17: Analysis of Variance
- Chapter 18: The 2k Factorial Designs
- Chapter 19: Response Surfaces