| Tuesday | Tuesday | Wednesday | Thursday |
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May 28: Introduction, Syllabus, 1.1 What is Statistics? 1.2 Random Sampling, 2.1 Bar Graphs, Circle Graphs, and Time Plots, |
May 29: 2.2 Frequency Distributions and Histograms, 3.1 Mode, Median and Mean, | May 30: 3.2 Variance and Standard Deviation, Chebishev's Theorem | May 31: 3.3 Mean and Standard Deviation of Grouped Data, 3.4 Percentiles and Box and Whisker Plots, 1.3 Experimental design, |
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June 4: 10.1 Paired Data and Scatter Diagrams, 10.2: Linear Regression, |
June 5: 10.3 Correlation Coefficient 4.1 Probability | June 6: 4.2 Probability Rules, Bayes' Theorem, | June 7: 4.3 Trees and Counting Techniques |
| June 11: 5.1 Random Variables and Probability Distributions | June 12: Midterm, some other business. | June 13: 5.2 Binomial Distribution, | June 14: 5.3: Binomial Distribution, |
| June 18: 6.1, 6.2 Normal Distribution | June 19: 6.3, 6.4 Normal Distribution | June 20: (5.4 Geometric and Poisson Distribution) | June 21: 7.1 Sampling Distributions 7.2 The Central Limit Theorem |
| June 25: 7.3 Sampling Distributions for proportions. | June 26: 8.1-8.2 Mean Estimation. | June 27: Review | June 28: Final |
Erich Prisner, May 2007