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Mathematics 341 - Spring 2013
Calendar
| January | ||||
|---|---|---|---|---|
| Monday | Tuesday | Wednesday | Thursday | Friday |
| 7 Homework Beginning with R | 8 | 9 Chapter 1 Homework Descriptive Statistics | 10 | 11 No class |
| 14 Chapter 1 Homework Stemplots and Boxplots | 15 | 16 Chapter 1 Homework Scatterplots and Standard Deviations | 17 | 18 Section 2.3.2 Homework Binomial Distributions |
| 21 Martin Luther King Day | 22 | 23 Section 2.4 Homework Testing a Hypothesis Problem Set # 1 | 24 | 25 Ice day |
| 28 Sections 2.7.1 - 2.7.3 Homework The Hypergeometric Distribution | 29 | 30 Sections 3.4.1 and 3.6.1 Homework Continuous Distributions | 31 Office hour: 1:00 p.m. - 2:00 p.m. | |
| February | ||||
| Monday | Tuesday | Wednesday | Thursday | Friday |
| 1 Sections 3.1.3, 3.4.2, and 3.6.2 Homework Gamma Distributions Problem Set # 2 |
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| 4 Sections 4.1 - 4.3.1 Homework The Method of Moments | 5 | 6 Sections 4.3.2 and 4.5 Homework Sampling Distributions: Sample Mean | 7 | 8 Section 4.6 Homework Sampling Distributions: Sample Variance |
| 11 Exam # 1 | 12 Office hour: 2:00 p.m. - 3:00 p.m. | 13 Sections 4.7 Homework Student's t-distribution | 14 | 15 Section 4.8 Homework Binomial Confidence Intervals |
| 18 Section 4.9 Homework Paired and Sign Tests Problem Set # 3 | 19 | 20 Section 5.1.1 Homework Maximum Likelihood Estimation | 21 | 22 Sections 5.1.2 - 5.1.3 Homework MLEs: Multiple Parameters |
| 25 Section 5.1.4 Homework Numerical Methods and Sufficient Statistics Problem Set # 4 | 26 Midterm | 27 Section 5.1 Homework MLEs: Asymptotic Properties | 28 | |
| March | ||||
| Monday | Tuesday | Wednesday | Thursday | Friday |
| 1 Homework The Neyman-Pearson Lemma |
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| 4 Spring break | 5 Spring break | 6 Spring break | 7 Spring break | 8 Spring break |
| 11 Sections 5.2.1 - 5.2.2 Homework Generalized Likelihood Ratio Tests | 12 | 13 Section 5.4.3 Homework Testing Multinomial Probabilities Exam # 2 | 14 | 15 Section 5.4.2 Homework Pearson's Goodness of Fit Test |
| 18 Sections 5.4.4 - 5.4.5 Homework Fitting Distributions | 19 | 20 Section 5.5 Homework Two-Way Tables: Independence | 21 | 22 Section 5.5 Homework Two-Way Tables: Homogeneity Problem Set # 5 |
| 25 Section 6.1 An Introduction to Linear Models | 26 | 27 Sections 6.2.1 - 6.2.3 Homework Linear Models: Parameter Estimation | 28 | 29 Good Friday |
| April | ||||
| Monday | Tuesday | Wednesday | Thursday | Friday |
| 1 Easter Monday | 2 | 3 Section 6.2.4 Homework Linear Models: An Example | 4 | 5 Sections 6.3.1 - 6.3.5 Homework Linear Models: Sampling Distributions and Inferences |
| 8 Section 6.3.6 Homework Linear Models: Analysis of Variance Exam # 3 | 9 | 10 Section 6.3.7 Homework Linear Models: Predictions | 11 Section 6.5 Homework Linear Models: Transformations | 12 Furman Engaged |
| 15 Sections 6.6.1 - 6.6.2 Homework The Two Sample t-Test | 16 | 17 Section 7.3 One-Way Analysis of Variance | 18 | 19 Section 7.3 Homework One-Way Analysis of Variance: Example |
| 22 Review for Final | 23 | 24 Office hours: Noon - 2:00 p.m. | 25 | 26 |
| 29 | 30 Final exam - Due no later than 2:30 p.m. | |||
| May | ||||
| Monday | Tuesday | Wednesday | Thursday | Friday |
| 1 | 2 | 3 | ||
