Computing and Data Analysis for Environmental Applications Lecture notes from MIT-USA

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

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