Schaum's Outline of Statistics for Engineers
1st Edition
Published on 7. April 2011
377 pages
978-0-07-173647-3 (ISBN)
Description
The ideal review for your statistics course geared toward engineering More than 40 million students have trusted Schaums Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaums Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice. Concise explanations of the topics covered in statistics courses designed for students in engineering and the hard sciences Relevant examples and end-of-chapter questions motivate you and reinforce acquired skills Hundreds of solved problems Complete integration of EXCEL, MINITAB, SPSS, SAS, and STATISTIX software output as used in today's college statistics classes Detailed explanations and practice problems in all areas of engineering statistics Instructions for reading and interpreting todays most popular statistical software packages Comprehensive review of advanced topics such as analysis of variance and quality management programs Practice in basic problem-solving skills in calculus-based statistics
More details
Other editions
Additional editions
Larry Stephens
Schaum's Outline of Statistics for Engineers
Book
06/2011
Schaum Outline Series
€24.74
Article not available at the moment
Content
- Cover
- Schaum's Outline of Statistics for Engineers
- Copyright
- Preface
- References for the Solved Problems and Supplementary Problems
- Contents
- Chapter 1 Treatment of Data Using Statistical Software
- Graphical Displays of Data
- Descriptive Measures of Data
- Measures of Relative Standing
- Chapter 2 Probability
- Sample Space, Events, and Operations on Events
- The Multiplicative Rule, Permutations, and Combinations
- Probability
- The Axioms of Probability
- Some Elementary Theorems (Rules) of Probability
- Conditional Probability
- Bayes' Theorem
- Mathematical Expectation
- Chapter 3 Probability Distributions for Discrete Variables
- Random Variables
- Mean and Standard Deviation of a Probability Distribution
- Chebyshev's Theorem
- Binomial Distribution
- Hypergeometric Distribution
- Geometric Distribution
- Negative Binomial Distribution
- Poisson Distribution
- Multinomial Distribution
- Simulation
- Chapter 4 Probability Densities for Continuous Variables
- Continuous Random Variables
- Normal Distribution
- Normal Approximation to the Binomial Distribution
- Uniform Distribution
- Log-Normal Distribution
- Gamma Distribution
- Beta Distribution
- Weibull Distribution
- Joint Distributions-Discrete and Continuous
- Checking Data for Normality
- Transforming Data to Near Normality
- Simulation
- Chapter 5 Sampling Distributions
- Populations and Samples
- Sampling Distribution of the Mean (s Known)
- Sampling Distribution of the Mean (s Unknown)
- Sampling Distribution of the Proportion
- Sampling Distribution of the Variance
- Chapter 6 Inferences Concerning Means
- Point Estimation
- Interval Estimation
- Basic Concepts of Testing Hypotheses
- Testing Hypotheses About a Single Mean
- Relationship Between Tests of Hypotheses and Confidence Intervals
- Inferences Concerning Two Means-Independent and Large Samples
- Inferences Concerning Two Means-Independent and Small Samples
- Inferences Concerning Two Means-Dependent Samples
- Chapter 7 Inferences Concerning Variances
- Estimation of Variances
- Hypotheses Concerning One Variance
- Hypo theses Concerning Two Variances
- Chapter 8 Inferences Concerning Proportions
- Estimation of Proportions
- Hypotheses Concerning One Proportion
- Hypotheses Concerning Two Proportions
- Hypotheses Concerning Several Proportions
- Analysis of r × c Tables
- Chapter 9 Statistical Process Control
- Introduction to Statistical Process Control (SPC)
- Answers to Supplementary Problems
- Index
