Probability & Statistics for Engineers & Scientists, Global Edition

Häftad, Engelska, 2016

AvRonald Walpole,Raymond Myers,Sharon Myers,Keying Ye

1 499 kr

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For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science.

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.

Produktinformation

Utgivningsdatum2016-08-26
Mått188 x 234 x 30 mm
Vikt1 216 g
FormatHäftad
SpråkEngelska
Antal sidor816
Upplaga9
FörlagPearson Education
ISBN9781292161365

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Matematisk statistik inom Naturvetenskap och teknik

1. Introduction to Statistics and Data Analysis 1.1 Overview: Statistical Inference, Samples, Populations, and the Role of Probability1.2 Sampling Procedures; Collection of Data1.3 Measures of Location: The Sample Mean and MedianExercises1.4 Measures of VariabilityExercises1.5 Discrete and Continuous Data1.6 Statistical Modeling, Scientific Inspection, and Graphical Methods1.7 General Types of Statistical Studies: Designed Experiment, Observational Study, and Retrospective StudyExercises2. Probability 2.1 Sample Space2.2 EventsExercises2.3 Counting Sample PointsExercises2.4 Probability of an Event2.5 Additive RulesExercises2.6 Conditional Probability, Independence and Product RulesExercises2.7 Bayes' RuleExercisesReview Exercises2.8 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters3. Random Variables and Probability Distributions 3.1 Concept of a Random Variable3.2 Discrete Probability Distributions3.3 Continuous Probability DistributionsExercises3.4 Joint Probability DistributionsExercisesReview Exercises3.5 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters4. Mathematical Expectation 4.1 Mean of a Random VariableExercises4.2 Variance and Covariance of Random VariablesExercises4.3 Means and Variances of Linear Combinations of Random Variables4.4 Chebyshev's TheoremExercisesReview Exercises4.5 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters5. Some Discrete Probability Distributions 5.1 Introduction and Motivation5.2 Binomial and Multinomial DistributionsExercises5.3 Hypergeometric DistributionExercises5.4 Negative Binomial and Geometric Distributions5.5 Poisson Distribution and the Poisson ProcessExercisesReview Exercises5.6 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters6. Some Continuous Probability Distributions 6.1 Continuous Uniform Distribution6.2 Normal Distribution6.3 Areas under the Normal Curve6.4 Applications of the Normal DistributionExercises6.5 Normal Approximation to the BinomialExercises6.6 Gamma and Exponential Distributions6.7 Chi-Squared Distribution6.8 Beta Distribution6.9 Lognormal Distribution (Optional)6.10 Weibull Distribution (Optional)ExercisesReview Exercises6.11 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters7. Functions of Random Variables (Optional) 7.1 Introduction7.2 Transformations of Variables7.3 Moments and Moment-Generating FunctionsExercises8. Sampling Distributions and More Graphical Tools 8.1 Random Sampling and Sampling Distributions8.2 Some Important StatisticsExercises8.3 Sampling Distributions8.4 Sampling Distribution of Means and the Central Limit TheoremExercises8.5 Sampling Distribution of S2 8.6 t-Distribution8.8 Quantile and Probability PlotsExercisesReview Exercises8.9 Potential Misconceptions and Hazards; Relationship to Mate