EMSE 6115

Syllabus

Introduction

Lecture Notes

R - Files

Python - Files

Example Exam Questions

Solutions -
Dekking

Solutions -
Devore

Solutions -
WMMY

LA

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Uncertainty Analysis for Engineers :

SELECTED SOLUTIONS DEKKING ET AL.

Chapter 1: Why Probability and Statistics?

Chapter 2: Outcomes, Events, and Probability. Chapter 2 Homework.pdf

Chapter 3: Conditional Probability and Independence. Chapter 3 Homework.pdf, Question 3_11.xls

Chapter 4: Discrete Random Variables. Chapter 4 Homework.pdf, Homework Chapter 4.xls

Chapter 5: Continuous Random Variables. Chapter 5 Homework.pdf

Chapter 6: Simulation. Chapter 6 Homework.pdf, Question 6_11.xls, Question 6_12.xls

Chapter 7: Expectation and Variance. Chapter 7 Homework.pdf

Chapter 8: Computation with Random Variables. Chapter 8 Homework.pdf

Chapter 9: Joint Distributions and Independence. Chapter 9 Homework.pdf

Chapter 10: Covariance and Correlation. Chapter 10 Homework.pdf

Chapter 11: More Computation with Random Variables. Chapter 11 Homework.pdf

Chapter 13: The Law of Large Numbers. Chapter 13 Homework.pdf

Chapter 14: The Central Limit Theorem. Chapter 14 Homework.pdf

Chapter 15: Exploratory Data Analysis: Graphical Summaries. Chapter 15 Homework.pdf

Chapter 16: Exploratory Data Analysis: Numerical Summaries. Chapter 16 Homework.pdf

Chapter 19: Unbiased Estimators. Chapter 19 Homework.pdf

Chapter 20: Efficiency and Mean Squared Error. Chapter 20 Homework.pdf

Chapter 23: Confidence Intervals for the Mean. Chapter 23 Homework.pdf

Chapter 24: More on Confidence Intervals. Chapter 24 Homework.pdf

Chapter 25: Testing Hypotheses: Essentials. Chapter 25 Homework.pdf

Chapter 26: Testing Hypotheses: Elaboration. Chapter 26 Homework.pdf

Chapter 27: The t - Test. Chapter 27 Homework.pdf