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Artikelmerkmale
- Artikelzustand
- Book Title
- Essentials of Probability & Statistics for Engineers & Scientists
- ISBN
- 9780321783738
Über dieses Produkt
Product Identifiers
Publisher
Pearson Education
ISBN-10
0321783735
ISBN-13
9780321783738
eBay Product ID (ePID)
112003943
Product Key Features
Number of Pages
480 Pages
Language
English
Publication Name
Essentials of Probability and Statistics for Engineers and Scientists
Publication Year
2011
Subject
Engineering (General), Probability & Statistics / General
Features
Revised
Type
Textbook
Subject Area
Mathematics, Technology & Engineering
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
27.9 Oz
Item Length
9.4 in
Item Width
7.6 in
Additional Product Features
Intended Audience
College Audience
LCCN
2011-007277
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
620.001/5192
Edition Description
Revised edition
Table Of Content
1. Introduction to Statistics and Probability 1.1 Overview: Statistical Inference, Samples, Populations, and the Role of Probability 1.2 Sampling Procedures; Collection of Data 1.3 Discrete and Continuous Data. 1.4 Probability: Sample Space and Events Exercises 1.5 Counting Sample Points Exercises 1.6 Probability of an Event 1.7 Additive Rules Exercises 1.8 Conditional Probability, Independence, and the Product Rule Exercises 1.9 Bayes'' Rule Exercises Review Exercises 2. Random Variables, Distributions, and Expectations 2.1 Concept of a Random Variable 2.2 Discrete Probability Distributions 2.3 Continuous Probability Distributions Exercises 2.4 Joint Probability Distributions Exercises 2.5 Mean of a Random Variable Exercises 2.6 Variance and Covariance of Random Variables. Exercises 2.7 Means and Variances of Linear Combinations of Random Variables Exercises Review Exercises 2.8 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters 3. Some Probability Distributions 3.1 Introduction and Motivation 3.2 Binomial and Multinomial Distributions Exercises 3.3 Hypergeometric Distribution Exercises 3.4 Negative Binomial and Geometric Distributions 3.5 Poisson Distribution and the Poisson Process Exercises 3.6 Continuous Uniform Distribution 3.7 Normal Distribution 3.8 Areas under the Normal Curve 3.9 Applications of the Normal Distribution Exercises 3.10 Normal Approximation to the Binomial Exercises 3.11 Gamma and Exponential Distributions 3.12 Chi-Squared Distribution. Exercises Review Exercises 3.13 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters 4. Sampling Distributions and Data Descriptions 4.1 Random Sampling 4.2 Some Important Statistics Exercises 4.3 Sampling Distributions 4.4 Sampling Distribution of Means and the Central Limit Theorem Exercises 4.5 Sampling Distribution of S2 4.6 t -Distribution 4.7 F -Distribution 4.8 Graphical Presentation Exercises Review Exercises 4.9 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters 5. One- and Two-Sample Estimation Problems 5.1 Introduction 5.2 Statistical Inference 5.3 Classical Methods of Estimation. 5.4 Single Sample: Estimating the Mean 5.5 Standard Error of a Point Estimate 5.6 Prediction Intervals 5.7 Tolerance Limits Exercises 5.8 Two Samples: Estimating the Difference between Two Means 5.9 Paired Observations Exercises 5.10 Single Sample: Estimating a Proportion 5.11 Two Samples: Estimating the Difference between Two Proportions Exercises 5.12 Single Sample: Estimating the Variance Exercises Review Exercises 5.13 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters 6. One- and Two-Sample Tests of Hypotheses. 6.1 Statistical Hypotheses: General Concepts 6.2 Testing a Statistical Hypothesis 6.3 The Use of P-Values for Decision Making in Testing Hypotheses Exercises 6.4 Single Sample: Tests Concerning a Single Mean 6.5 Two Samples: Tests on Two Means 6.6 Choice of Sample Size for Testing Means 6.7 Graphical Methods for Comparing Means Exercises 6.8 One Sample: Test on a Single Proportion. 6.9 Two Samples: Tests on Two Proportions Exercises 6.10 Goodness-of-Fit Test 6.11 Test for Independence (Categorical Data) 6.12 Test for Homogeneity 6.13 Two-Sample Case Study Exercises Review Exercises 6.14 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters 7. Linear Regression 7.1 Introduction to Linear Regression 7.2 The Simple Linear Regression (SLR) Model and the Least Squares Method. Exercises 7.3 Inferences Concerning the Regression Coefficients. 7.4 Prediction Exercises 7.5 Analysis-of-Variance Approach 7.6 Test for Linearity of Regression: Data with Repeated Observations Exercises 7.7 Diagnostic Plots of Residuals: Graphical Detection of Violation of Assumptions 7.8 Correlation 7.9 Simple Linear Regression Case Study. Exercises 7.10 Multiple Linear Regression and Estimation of the Coefficients
Synopsis
For junior/senior undergraduates taking a one-semester probability and statistics course as applied to engineering, science, or computer science. This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. Students using this text should have the equivalent of the completion of one semester of differential and integral calculus., Normal 0 false false false This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. The authors assume one semester of differential and integral calculus as a prerequisite., Normal 0 false false false This book covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. The authors assume one semester of differential and integral calculus as a prerequisite. KEY TOPICS: Introduction to Statistics and Probability; Random Variables, Distributions, and Expectations; Some Probability Distributions; Sampling Distributions and Data Descriptions; One- and Two-Sample Estimation Problems; One- and Two-Sample Tests of Hypotheses.; Linear Regression; One-Factor Experiments: General; Factorial Experiments (Two or More Factors) MARKET: For all readers interested in learning about probability and statistics as they apply to science and engineering., This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. The authors assume one semester of differential and integral calculus as a prerequisite.
LC Classification Number
TA340.P738 2013
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One Planet Books
99,2% positive Bewertungen•239 Tsd. Artikel verkauft
Angemeldet als gewerblicher Verkäufer
Verkäuferbewertungen (44'218)
- r***n (1580)- Bewertung vom Käufer.Letzter MonatBestätigter KaufGreat book in like-new condition. Good price. Shipping speed as expected. Good packaging.
- 6***b (4648)- Bewertung vom Käufer.Letzter MonatBestätigter KaufUnfortunately, this became another victim of the postal ways. Probably on the proverbially incompetent German side. But seller and Ebay comms were good and refund speedy.
- o***9 (338)- Bewertung vom Käufer.Letzter MonatBestätigter KaufPerfect thank you!