Student Solutions Manual for Essentials of Probability & Statistics for Engineers & Scientists

Häftad, Engelska, 2012

Av Ronald Walpole, Raymond Myers, Sharon Myers, Keying Ye

1 349 kr

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Produktinformation

Utgivningsdatum2012-03-01
Mått100 x 100 x 100 mm
Vikt100 g
FormatHäftad
SpråkEngelska
FörlagPearson Education (US)
ISBN9780321783998

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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 on Two Means6.6 Choice of Sample Size for Testing Means6.7 Graphical Methods for Comparing MeansExercises6.8 One Sample: Test on a Single Proportion.6.9 Two Samples: Tests on Two ProportionsExercises6.10 Goodness-of-Fit Test6.11 Test for Independence (Categorical Data)6.12 Test for Homogeneity6.13 Two-Sample Case StudyExercisesReview Exercises6.14 Potential Misconceptions and Hazards;Relationship to Material in Other Chapters 7. Linear Regression7.1 Introduction to Linear Regression7.2 The Simple Linear Regression (SLR) Model and the Least Squares Method.Exercises7.3 Inferences Concerning the Regression Coefficients.7.4 PredictionExercises7.5 Analysis-of-Variance Approach7.6 Test for Linearity of Regression: Data with Repeated ObservationsExercises7.7 Diagnostic Plots of Residuals: Graphical Detection of Violation of Assumptions7.8 Correlation7.9 Simple Linear Regression Case Study.Exercises7.10 Multiple Linear Regression and Estimation of the CoefficientsExercises7.11 Inferences in Multiple Linear RegressionExercisesReview Exercises 8. One-Factor Experiments: General8.1 Analysis-of-Variance Technique and the Strategy of Experimental Design8.2 One-Way Analysis of Variance (One-Way ANOVA): Completely Randomized Design8.3 Tests for the Equality of Several VariancesExercises8.4 Multiple ComparisonsExercises8.5 Concept of Blocks and the Randomized Complete Block DesignExercises8.6 Random Effects Models8.7 Case Study for One-Way ExperimentExercisesReview Exercises8.8 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters 9. Factorial Experiments (Two or More Factors)9.1 Introduction9.2 Interaction in the Two-Factor Experiment9.3 Two-Factor Analysis of VarianceExercises9.4 Three-Factor Experiments.ExercisesReview Exercises9.5 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters