Statistics

This product accompanies:
Ledolter & Hogg,  Applied Statistics for Engineers and Physical Scientists, 3/E

• provides early discussed fundamental concepts such as variability, graphical representation of data, and randomization and blocking in design of experiments.

• provides a thorough introduction to descriptive statistics, including the importance of understanding variability, representation of data, exploratory data analysis, and time-sequence plots.

• explores principles of probability, probability distributions, and sampling distribution theory.

• discusses regression, design of experiments and their analysis, including factorial and fractional factorial designs.

1. Collection and Analysis of Information.


2. Probability Models.


3. Continuous Probability Models.


4. Applications of Sampling Distribution Theory.


5. Statistical Quality Control.


6. Tests of Statistical Hypothesis.


7. Experiments with One Factor.


8. Experiments with Two or More Factors.


9. Regression Analysis.


Appendix A. Two Experimental Design Case Studies.


Appendix B. Bibliography.


Appendix C. Statistical Tables.


Answers to Selected Exercises.


Index.

Probability & Statistics - Engineers & Scientists  (Statistics)

• 
  Applied Statistics for Engineers and Physical Scientists, 3/E
  Ledolter & Hogg
  ©2010 | Pearson | Cloth; 608 pp | Instock
  ISBN-10: 0136017983 | ISBN-13: 9780136017981
  Suggested retail price: $134.67  Buy from myPearsonStoreNet price: $101.00  (What's this?)Brief Description

  

  This hugely anticipated revision has held true to its core strengths, while bringing the book fully up to date with modern engineering statistics. Written by two leading statisticians, Statistics for Engineers and Physical Scientists, Third Edition, provides the necessary bridge between basic statistical theory and interesting applications. Students solve the same problems that engineers and scientists face, and have the opportunity to analyze real data sets. Larger-scale projects are a unique feature of this book, which let students analyze and interpret real data, while also encouraging them to conduct their own studies and compare approaches and results.

   

  This book assumes a calculus background. It is appropriate for undergraduate and graduate engineering or physical science courses or for students taking an introductory course applied statistics.

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