Probability & Statistics for Engineers & Scientists + MyLab Statistic with Pearson eText, Global Edition

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science.
This package includes MyStatLab^®.

This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.

This package includes MyStatLab^™, an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

MyStatLab should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.

List of contents

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 Chebyshev's 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

Summary

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science.
This package includes MyStatLab^®.
 
This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.
 
This package includes MyStatLab^™, an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.
 
MyStatLab should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.

Product details

• Authors: Raymond Myers, Raymond H. Myers, Sharon Myers, Sharon L. Myers, Ronald Walpole, Ronald E. Walpole, Keying Ye, Keying E. Ye
• Publisher: Pearson Academic
• Languages: English
• Product format: Mixed media product
• Released: 28.02.2017
• EAN: 9781292161440
• ISBN: 978-1-292-16144-0
• Dimensions: 228 mm x 274 mm x 66 mm
• Weight: 4000 g
• Series: Pearson; Pearson
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics