MATLAB® software is required to run the .m files in this section.
The notes for Lectures 9 and 12 are not available.
| 1 |
Course Introduction (PDF) |
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| 2 |
Descriptive Statistics (PDF) |
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| 3 |
Probablility (PDF) |
virtual.m (M) |
| 4 |
Joint Probability, Independence, Repeated Trials (PDF) |
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| 5 |
Combinatorial Methods for Deriving Probabilities (PDF) |
combinatorial_example.pdf (PDF)
balls.m (M) |
| 6 |
Conditional Probability and Baye's Theorem (PDF) |
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| 7 |
Random Variables and Probability Distributions (PDF) |
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| 8 |
Expectation, Functions of a Random Variable (PDF) |
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| 9 |
Risk |
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| 10 |
Some Common Probability Distributions (PDF) |
cdffit.m (M) |
| 11 |
Multivariate Probability (PDF) |
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| 12 |
Functions of Many Random Variables |
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| 13 |
Populations and Samples (PDF) |
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| 14 |
Estimation (PDF) |
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| 15 |
Confidence Intervals (PDF) |
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| 16 |
Testing Hypotheses about a Single Population (PDF) |
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| 17 |
Testing Hypotheses about Two Populations (PDF) |
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| 18 |
Small Sample Statistics (PDF) |
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| 19 |
Analysis of Variance (PDF) |
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| 20 |
Analysis of Variance (contd.) (PDF) |
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| 21 |
Multifactor Analysis of Variance (PDF) |
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| 22 |
Linear Regression (PDF) |
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| 23 |
Analyzing Regression Results (PDF) |
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