Textbook: Hogg and Tanis
Probability and Statistical Inference, 7th ed.
Date Chapter.Section/Topics (and Suggested Problems)
M Jan 7 1.1-1.2 Probability Axioms (1.2-8, 1.2-10)
W 9 1.3 Counting (1.3-14)
F 11 1.3 Positive and Negative Binomial Coefficients
M 14 1.4 Conditional Probability (1.4-9, 1.4-18)
W 16 1.5 Independent Events (1.5-1, 1.5-11, 1.5-16)
F 18 1.6 Bayes Theorem (1.6-7, 1.6-10)
M 21 *** holiday (Martin Luther King Day) no class ***
W 23 2.1 Discrete Random Variables (2.1-3, 2.1-6, 2.1-10)
F 25 2.2 Expected Value and Mean (2.2-14)
M 28 2.3 Standard Deviation and Variance (2.3-4, 2.3-9)
W 30 2.4 Bernoulli Trials (2.4-1, 2.4-3, 2.4-10, 2.4-13)
F Feb 1 2.5 Moment Generating Function (mgf) (2.4-19, 2.4-22, 2.5-3, 2.5-19)
M 4 2.5 Negative Binomial Distribution (2.5-5, 2.5-8, 2.5-12, 2.5-16)
W 6 2.6 Poisson distribution (2.6-6, 2.6-10)
F 8 2.6 Poisson distribution (2.6-24)
M 11 *** first examination *** (closed books)
W 13 3.1-3.2 Continuous Random Variables (3.1-1, 3.2-8, 3.2-12, 3.2-15, 3.3-1, 3.3-5, 3.3-6)
F 15 3.3 Uniform and Exponential Distributions (3.3-8, 3.3-9, 3.3-11, 3.3-12, 3.3-13, 3.3-20)
M 18 3.4 Chi Square Distribution (3.4-1, 3.4-2, 3.4-3, 3.4-4)
W 20 3.4 Waiting Times for a Poisson Process (3.4-8, 3.4-9, 3.4-13, 3.4-14)
F 22 3.5 Functions of a Random Variable (3.5-1, 3.5-3, 3.5-6, 3.5-10, 3.5-12)
M 25 4.1 Two Random Variables (4.1-1, 4.1-7, 4.1-9, 4.1-10)
W 27 4.2 Correlation Coefficient (4.2-1, 4.2-4, 4.2-5, 4.2-7, 4.2-10)
F 29 4.2 The Trinomial Distribution (4.2-6)
M Mar 3 4.3 Conditional Distributions (4.3-1, 4.3-5, 4.3-16)
W 5 4.4 Transformations of Random Variables (4.4-2, 4.4-4, 4.4-6, 4.4-7, 4.4-8)
F 7 4.5 Independent Random Variables (4.5-1, 4.5-2, 4.5-5)
M 10 4.6 Sums of Independent Random Variables (4.6-1, 4.6-4, 4.6-6, 4.6-7)
W 12 4.6 Sums of Independent Random Variables (4.6-10, 4.6-14)
F 14 4.7 Convergence and Chebyshev's Inequality (4.7-2, 4.7-6)
M 17 *** holiday (Spring 2008 Recess) no class ***
W 19 *** holiday (Spring 2008 Recess) no class ***
F 21 *** holiday (Spring 2008 Recess) no class ***
M 24 *** second examination ***
W 26 Second Examination Redux
F 28 5.1-5.2 Normal Distribution (5.2-1, 5.2-6, 5.2-10, 5.2-16, 5.2-22)
M 31 5.3 Random Samples from a Normal Distribution (5.3-1, 5.3-5, 5.3-16, 5.3-17)
W Apr 2 5.3 Distribution of the Sample Variance
F 4 5.3 Student's t-distribution
M 7 5.4 and 5.7 Central Limit Theorem (5.4-1, 5.4-2, 5.4-3, 5.4-5)
W 9 5.5 Normal Approximations to Probability Distributions (5.5-1, 5.5-9, 5.5-14, 5.5-18)
F 11 6.1-6.2 Point estimation; Maximum Likelihood (6.2-3, 6.2-4)
M 14 6.4 Confidence intervals for Means (6.4-7)
W 16 6.7-6.8 Confidence Intervals for Proportions; Sample Size (6.7-2, 6.8-4, 6.8-16)
F 18 8.1 Tests about Proportions (8.1-2, 8.1-14)
M 21 8.2 Tests about Mean (8.2-1, 8.2-2)
W 23 8.5 Chi square Goodness of Fit Tests (8.5-1, 8.5-8)
F 25 Review (Last day of classes)
Final exam: Monday 2008 April 28 at 2:50-5:40 p.m. in Skiles Room 270.
Be aware that the tentative final exam information available on the Registrar web site is subject to change.
homepage for Belinfante's Math 3215.
Revised: 2008 April 14