Essentials of Probability & Statistics for Engineers & Scientists

Pearson New International Edition

Häftad, Engelska, 2013

AvRonald Walpole,Raymond Myers,Sharon Myers,Keying Ye

1 579 kr

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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.

Produktinformation

Utgivningsdatum2013-08-23
Mått214 x 279 x 25 mm
Vikt1 176 g
FormatHäftad
SpråkEngelska
Antal sidor480
Upplaga1
FörlagPearson Education
ISBN9781292022536

1. Introduction to Statistics and Probability1.1 Overview: Statistical Inference, Samples, Populations, and the Role of Probability1.2 Sampling Procedures; Collection of Data1.3 Discrete and Continuous Data.1.4 Probability: Sample Space and EventsExercises1.5 Counting Sample PointsExercises1.6 Probability of an Event1.7 Additive RulesExercises1.8 Conditional Probability, Independence, and the Product RuleExercises1.9 Bayes' RuleExercisesReview Exercises 2. Random Variables, Distributions, and Expectations2.1 Concept of a Random Variable2.2 Discrete Probability Distributions2.3 Continuous Probability DistributionsExercises2.4 Joint Probability DistributionsExercises2.5 Mean of a Random VariableExercises2.6 Variance and Covariance of Random Variables.Exercises2.7 Means and Variances of Linear Combinations of Random VariablesExercisesReview Exercises2.8 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters 3. Some Probability Distributions3.1 Introduction and Motivation3.2 Binomial and Multinomial DistributionsExercises3.3 Hypergeometric DistributionExercises3.4 Negative Binomial and Geometric Distributions3.5 Poisson Distribution and the Poisson ProcessExercises3.6 Continuous Uniform Distribution3.7 Normal Distribution3.8 Areas under the Normal Curve3.9 Applications of the Normal DistributionExercises3.10 Normal Approximation to the BinomialExercises3.11 Gamma and Exponential Distributions3.12 Chi-Squared Distribution.ExercisesReview Exercises3.13 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters 4. Sampling Distributions and Data Descriptions4.1 Random Sampling4.2 Some Important StatisticsExercises4.3 Sampling Distributions4.4 Sampling Distribution of Means and the Central Limit TheoremExercises4.5 Sampling Distribution of S24.6 t-Distribution4.7 F-Distribution4.8 Graphical PresentationExercisesReview Exercises4.9 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters 5. One- and Two-Sample Estimation Problems5.1 Introduction5.2 Statistical Inference5.3 Classical Methods of Estimation.5.4 Single Sample: Estimating the Mean5.5 Standard Error of a Point Estimate5.6 Prediction Intervals5.7 Tolerance LimitsExercises5.8 Two Samples: Estimating the Difference between Two Means5.9 Paired ObservationsExercises5.10 Single Sample: Estimating a Proportion5.11 Two Samples: Estimating the Difference between Two ProportionsExercises5.12 Single Sample: Estimating the VarianceExercisesReview Exercises5.13 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters 6. One- and Two-Sample Tests of Hypotheses.6.1 Statistical Hypotheses: General Concepts6.2 Testing a Statistical Hypothesis6.3 The Use of P-Values for Decision Making in Testing HypothesesExercises6.4 Single Sample: Tests Concerning a Single Mean6.5 Two Samples: Tests o