
| Mon | Tue | Wed | Thu | Fri | |
| March | 10 Sections 1.1 to 1.4 Notation and Definitions Results on Variance | 11 |
12 Sections 2.1 and 2.2 Sample Spaces and Events Axioms, Interpretations, and Properties of Probability |
13 |
14 Sections 2.3 and 2.4 Counting Techniques Conditional Probability |
|---|---|---|---|---|---|
| 17 Sections 2.4 and 2.5 Conditional Probability Independence |
18 |
19 Sections 3.1 and 3.2 Random Variables Probability Distributions for Discrete Random Variables |
20 |
21 Easter Break |
|
| 24 Easter Break |
25 |
26 Section 3.3 Expected Values |
27 |
28 Sections 3.4 The Binomial Probability Distribution | |
| April | 31 Sections 3.5 and 3.6 Hypergeometric and Negative Binomial Distributions The Poisson Probability Distribution |
1 |
2 Sections 4.1 and 4.2 Probability Density Functions Cumulative Distribution Functions and Expected Values |
3 |
4 Sections 4.3 and 12.5 The Normal Distribution The Bivariate Normal Distribution |
| 7 Section 4.4 Exponential and Gamma Distributions |
8 |
9 Exam 1 |
10 |
11 Sections 4.5 and 4.6 Other Continuous Distributions Probability Plots |
|
| 14 Section 5.1 Jointly Distributed Random Variables |
15 |
16 Section 5.2 and 5.3 Expected Values, Covariance, and Correlation Statistics and Their Distributions |
17 |
18 Sections 5.4 and 5.5 The Distribution of the Sample Mean The Distribution of a Linear Combination |
|
| 21 Chapter 6 Point EstimationDerivations |
22 |
23 Chapter 7 Confidence IntervalsDerivations |
24 |
25 Chapter 8 Hypotheses TestsDerivations |
|
| 28 Chapter 10 ANOVADerivations |
29 |
30 Chapter 12 Regression and CorrelationDerivations |
1 | 2 |
| Mon | Tue | Wed | Thu | Fri | |
| May | 5 |
6 |
7 Final Exam 10:30-12:30 PM |
8 |
9 |
|---|
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Last modified on 11-Feb-08
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