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Probability & Statistics for Engineers & Scientists, Global Edition

Autor Keying Ye, Raymond Myers, Ronald Walpole, Sharon Myers
en Limba Engleză Paperback – 26 aug 2016

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Specificații

ISBN-13: 9781292161365
ISBN-10: 1292161361
Pagini: 816
Dimensiuni: 193 x 232 x 32 mm
Greutate: 1.3 kg
Ediția:9 ed
Editura: Pearson Education

Cuprins

1. Introduction to Statistics and Data Analysis

  • 1.1 Overview: Statistical Inference, Samples, Populations, and the Role of Probability
  • 1.2 Sampling Procedures; Collection of Data
  • 1.3 Measures of Location: The Sample Mean and Median
  • Exercises
  • 1.4 Measures of Variability
  • Exercises
  • 1.5 Discrete and Continuous Data
  • 1.6 Statistical Modeling, Scientific Inspection, and Graphical Methods
  • 1.7 General Types of Statistical Studies: Designed Experiment, Observational Study, and Retrospective Study
  • Exercises

2. Probability

  • 2.1 Sample Space
  • 2.2 Events
  • Exercises
  • 2.3 Counting Sample Points
  • Exercises
  • 2.4 Probability of an Event
  • 2.5 Additive Rules
  • Exercises
  • 2.6 Conditional Probability, Independence and Product Rules
  • Exercises
  • 2.7 Bayes Rule
  • Exercises
  • Review Exercises
  • 2.8 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters

3. Random Variables and Probability Distributions

  • 3.1 Concept of a Random Variable
  • 3.2 Discrete Probability Distributions
  • 3.3 Continuous Probability Distributions
  • Exercises
  • 3.4 Joint Probability Distributions
  • Exercises
  • Review Exercises
  • 3.5 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters

4. Mathematical Expectation

  • 4.1 Mean of a Random Variable
  • Exercises
  • 4.2 Variance and Covariance of Random Variables
  • Exercises
  • 4.3 Means and Variances of Linear Combinations of Random Variables
  • 4.4 Chebyshevs Theorem
  • Exercises
  • Review Exercises
  • 4.5 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters

5. Some Discrete Probability Distributions

  • 5.1 Introduction and Motivation
  • 5.2 Binomial and Multinomial Distributions
  • Exercises
  • 5.3 Hypergeometric Distribution
  • Exercises
  • 5.4 Negative Binomial and Geometric Distributions
  • 5.5 Poisson Distribution and the Poisson Process
  • Exercises
  • Review Exercises
  • 5.6 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters

6. Some Continuous Probability Distributions

  • 6.1 Continuous Uniform Distribution
  • 6.2 Normal Distribution
  • 6.3 Areas under the Normal Curve
  • 6.4 Applications of the Normal Distribution
  • Exercises
  • 6.5 Normal Approximation to the Binomial
  • Exercises
  • 6.6 Gamma and Exponential Distributions
  • 6.7 Chi-Squared Distribution
  • 6.8 Beta Distribution
  • 6.9 Lognormal Distribution (Optional)
  • 6.10 Weibull Distribution (Optional)
  • Exercises
  • Review Exercises
  • 6.11 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters

7. Functions of Random Variables (Optional)

  • 7.1 Introduction
  • 7.2 Transformations of Variables
  • 7.3 Moments and Moment-Generating Functions
  • Exercises

8. Sampling Distributions and More Graphical Tools

  • 8.1 Random Sampling and Sampling Distributions
  • 8.2 Some Important Statistics
  • Exercises
  • 8.3 Sampling Distributions
  • 8.4 Sampling Distribution of Means and the Central Limit Theorem
  • Exercises
  • 8.5 Sampling Distribution of S2
  • 8.6 t-Distribution
  • 8.8 Quantile and Probability Plots
  • Exercises
  • Review Exercises
  • 8.9 Potential Misconceptions and Hazards; Relationship to Mate