Probability and statistics for engineers and scientists
Using many examples and data sets, this title illustrates the importance of statistical data collection and analysis for students in a variety of engineering areas as well as for students in physics, chemistry, computing, biology, management, and mathematics.
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Boston, MA
Brooks/Cole,
©2012
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| Edition: | Fourth edition |
| Subjects: | |
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Table of Contents:
- Probability theory
- Random variables
- Discrete probability distributions
- Continous probability distributions
- The normal distributions
- Descriptive statistics
- Statistical estimation and sampling distributions
- Inferences on a population mean
- Comparing two population means
- Discrete data analysis
- The analysis of variance
- Simple linear regression and correlation
- Multiple linear regression and nonlinear regression
- Multifactor experimental design and analysis
- Nonparametric statistical analysis
- Quality control methods
- Reliability analysis and life testing.