Six Sigma and Beyond
Statistics and Probability, Volume III
Published on 28. August 2002
368 pages
978-1-4200-0026-9 (ISBN)
Description
Researchers and professionals in all walks of life need to use the many tools offered by the statistical world, but often do not have the necessary experience in both concept and application. No matter what your profession, sooner or later numbers need to be crunched, and often you need to understand how to do it, and why it is important. Quality c
More details
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Manufacturing managers and executives, quality managers and quality engineers, industrial engineers, manufacturing engineers, quality and six sigma consultants
Illustrations
139 s/w Abbildungen, 6 s/w Tabellen
139 b/w images, 6 tables and 573 equations
File size
5,55 MB
ISBN-13
978-1-4200-0026-9 (9781420000269)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
08/2002
1st Edition
CRC Press
€327.37
Article not available at the moment
Content
STATISTICAL CONCEPTS. Designing a Study. Counting Responses for Single Variable. Summarizing Data. Counting Responses for Combinations. Changing the Coding Scheme. Looking at Means. Means from Samples. Working with the Normal Distribution. Testing Hypothesis - Two Independent Means. Testing Hypothesis - Two Dependent Means. Testing Hypothesis about Independence. Comparing Several Means. Plotting Data. Regression. PROBABILITY CHANGES. Set Theory and Venn Diagrams. Probability Concepts. Discrete and Random Variables. Binomial and Poison Distributions. Continuous and Uniform Distributions. Normalizing Binomial and Central Limit Theorem. Functions of Random Variables. Exponential Distribution and Reliability. Poison Process. Chi Square Distribution. T Distribution. Sample Size for Mean Distribution. Sampling Theory. Probability Plots and Percentiles. RELIABILITY CONCEPTS. Failure Rates. Reliability Rate. MTBF. MTBR. ROCOF Plot. Weibull Distribution. Gamma Distribution and Reliability. Hypothesis Testing and OC Curves. Least Squares and Regression Analysis. Taylor Series Expansion.
