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Student Solutions Manual for Hayter's Probability and Statistics for Engineers and Scientists, 3rd,9780495107583
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Student Solutions Manual for Hayter's Probability and Statistics for Engineers and Scientists, 3rd

by
Edition:
3rd
ISBN13:

9780495107583

ISBN10:
0495107581
Format:
Paperback
Pub. Date:
1/19/2006
Publisher(s):
Cengage Learning
Includes 2-weeks free access to
step-by-step solutions for this book.
Step-by-Step solutions are actual worked out problems to the questions at the end of each chapter that help you understand your homework and study for your exams. Chegg and eCampus are providing you two weeks absolutely free. 81% of students said using Step-by-Step solutions prepared them for their exams.
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Summary

The Student Solutions Manual is intended to supplement the brief answers provided in the back of the book for selected exercises. It includes fully worked out solutions for those exercises, and also provides hints, tips, and additional interpretation for specific exercises.

Table of Contents

Probability Theoryp. 7
Probabilitiesp. 7
Eventsp. 8
Combinations of Eventsp. 11
Conditional Probabilityp. 13
Probabilities of Event Intersectionsp. 17
Posterior Probabilitiesp. 21
Counting Techniquesp. 23
Random Variablesp. 27
Discrete Random Variablesp. 27
Continuous Random Variablesp. 30
The Expectation of a Random Variablep. 33
The Variance of a Random Variablep. 36
Jointly Distributed Random Variablesp. 39
Combinations and Functions of Random variablesp. 44
Discrete Probability Distributionp. 51
The Binomial Distributionp. 51
The Geometric and Negative Binomial Distributionsp. 54
The Hypergeometric Distributionp. 56
The Poisson Distributionp. 58
The Multinomial Distributionp. 59
Continuous Probability Distributionsp. 61
The Uniform Distributionp. 61
The Exponential Distributionp. 63
The Gamma Distributionp. 65
The Weibull Distributionp. 67
The Beta Distributionp. 68
The Normal Distributionp. 71
Probability Calculationsp. 71
Linear Combinations of Normal Random Variablesp. 75
Approximating Distributionsp. 78
Distributions Related to the Normal Distributionp. 81
Descriptive Statisticsp. 85
Experimentationp. 85
Data Presentationp. 87
Sample Statisticsp. 88
Statistical Estimationp. 91
Properties of Point Estimatesp. 91
Sampling Distributionsp. 93
Constructing Parameter Estimatesp. 97
Inferences on a Population Meanp. 99
Confidence Intervalsp. 99
Hypothesis Testingp. 103
Comparing Two Population Meansp. 109
Analysis of Paired Samplesp. 109
Analysis of Independent Samplesp. 112
Discrete Data Analysisp. 119
Inferences on a Population Proportionp. 119
Comparing Two Population Proportionsp. 124
One-way Contingency Tablesp. 129
Two-way Contingency Tablesp. 134
The Analysis of Variancep. 139
One Factor Analysis of Variancep. 139
Randomized Block Designsp. 146
Simple Linear Regression and Correlationp. 153
The Simple Linear Regression Modelp. 153
Fitting the Regression Linep. 155
Inferences on the Slope Parameter B[subscript 1]p. 157
Inferences on the Regression Linep. 159
Prediction Intervals for Future Response Valuesp. 160
The Analysis of Variance Tablep. 162
Residual Analysisp. 164
Variable Transformationsp. 165
Correlation Analysisp. 166
Multiple Linear Regressionp. 167
Introduction to Multiple Linear Regressionp. 167
Examples of Multiple Linear Regressionp. 169
Matrix Algebra Formulationp. 171
Evaluating Model Accuracyp. 175
Multifactor Experimental Designp. 177
Experiments with Two Factorsp. 177
Experiments with Three or More Factorsp. 179
Nonparametric Statistical Analysisp. 181
The Analysis of a Single Populationp. 181
Comparing Two Populationsp. 184
Comparing Three or More Populationsp. 186
Quality Control Methodsp. 189
Statistical Process Controlp. 189
Variable Control Chartsp. 191
Attribute Control Chartsp. 193
Acceptance Samplingp. 194
Reliability Analysis and Life Testingp. 195
System Reliabilityp. 195
Modeling Failure Ratesp. 197
Life Testingp. 199
Table of Contents provided by Ingram. All Rights Reserved.


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