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Computing and Data Analysis for Environmental Applications >> Content Detail



Lecture Notes



Lecture Notes

MATLAB® software is required to run the .m files in this section.

The notes for Lectures 9 and 12 are not available.

LEC #TOPICSSUPPORTING FILES
1Course Introduction (PDF)
2Descriptive Statistics (PDF)
3Probablility (PDF)virtual.m (M)
4Joint Probability, Independence, Repeated Trials (PDF)
5Combinatorial Methods for Deriving Probabilities (PDF)combinatorial_example.pdf (PDF)
balls.m (M)
6Conditional Probability and Baye's Theorem (PDF)
7Random Variables and Probability Distributions (PDF)
8Expectation, Functions of a Random Variable (PDF)
9Risk
10Some Common Probability Distributions (PDF)cdffit.m (M)
11Multivariate Probability (PDF)
12Functions of Many Random Variables
13Populations and Samples (PDF)
14Estimation (PDF)
15Confidence Intervals (PDF)
16Testing Hypotheses about a Single Population (PDF)
17Testing Hypotheses about Two Populations (PDF)
18Small Sample Statistics (PDF)
19Analysis of Variance (PDF)
20Analysis of Variance (contd.) (PDF)
21Multifactor Analysis of Variance (PDF)
22Linear Regression (PDF)
23Analyzing Regression Results (PDF)


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