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This table gives a tentative timetable for the course. Everything in it (including possibly the dates of exams, homeworks and quizzes) is subject to change.

Chapter, section and problem numbers are from Devore, Probability & Statistics for Engineering and the Sciences, Eighth Edition (Brooks-Cole/Cengage, 2012). ISBN 978-0-538-73352-6

Tuesday Þursday
Tuesday Þursday
Wk01 Sep 4

Chapter 2: Probability

2.1-2.3: Axioms and Logic of Probability; Combinatorics (Counting)

Practice Problems: 2.5, 2.9, 2.13, 2.17, 2.29, 2.33, 2.43

Sep 6

Chapter 2: Probability

2.4-2.5: Conditional Probabilities & Bayes's Theorem; Independence

Practice Problems: 2.45, 2.59, 2.63, 2.67, 2.71, 2.105 parts a & b

Wk02 Sep 11

Chapter 3: Discrete Random Variables

3.1-3.2: Probability Mass Function & Cumulative Distribution Function

Practice Problems: 3.7, 3.9, 3.13, 3.21, 3.23, 3.25

Problem Set 1 (Sec. 2.1-2.5) due

Sep 13

Chapter 3: Discrete Random Variables

3.3-3.4: Expected Values; Binomial Distribution

Practice Problems: 3.29, 3.33, 3.43, 3.47 (use formula first, then verify w/table), 3.55, 3.59

Quiz 1 (Sec. 2.1-2.5)

Wk03 Sep 18

Chapter 3: Discrete Random Variables

3.6: Poisson Distribution

Practice Problems: 3.79, 3.81, 3.83, 3.85, 3.91, 3.93

Problem Set 2 (Sec. 3.1-3.4) due

Sep 20

Chapter 4: Continuous Random Variables

4.1-4.2: Probability Density Function & Cumulative Distribution Function

Practice Problems: 4.1, 4.5, 4.11, 4.13, 4.17, 4.21

Quiz 2 (Sec. 3.1-3.4)

Wk04 Sep 25

Chapter 4: Continuous Random Variables

4.3: Normal Distribution

Practice Problems: 4.29, 4.31, 4.35, 4.47, 4.53, 4.55

Problem Set 3 (Sec. 3.6,4.1-4.2) due worksheet [solns]

Sep 27

Chapter 4: Continuous Random Variables

4.4: Other Distributions (Exponential, Gamma, etc)

Practice Problems: 4.59, 4.61, 4.63, 4.65, 4.67, 4.69, 4.71

Quiz 3 (Sec. 3.6,4.1-4.2)

Wk05 Oct 2

Review for Prelim Exam 1

Problem Set 4 (Sec. 4.3-4.4) due

Quiz 4 (Sec. 4.3-4.4)

Oct 4

FIRST

PRELIM

EXAM

(Chapters 1-4)

Wk06 Oct 9

Chapter 1: Descriptive Statistics

1.1-1.2: Tabular & Pictorial Representations of Data

Practice Problems: 1.11, 1.15, 1.17, 1.29

Oct 11

Chapter 1: Descriptive Statistics

1.3-1.4: Measures of Location & Variability

Practice Problems: 1.33, 1.35, 1.39, 1.49, 1.51, 1.69, 1.73

Wk07 Oct 16

Chapter 4: Continuous Random Variables

4.6: Probability Plots

Practice Problems: 4.87, 4.89, 4.91, 4.93, 4.97, 4.111

Problem Set 5 (Sec. 1.1-1.4) due

Oct 18

Chapter 5: Joint Probability Distributions & Random Samples

5.1-5.2: Joint Probability Distributions, correlation and covariance

Practice Problems: 5.1, 5.3, 5.9, 5.13, 5.19, 5.21, 5.25, 5.27, 5.31, 5.33, 5.37, 5.39

Quiz 5 (Sec. 1.1-4.4)

Wk08 Oct 23

Chapter 5: Joint Probability Distributions & Random Samples

5.3-5.4: Statistics; Distribution of Sample Mean

Practice Problems: 5.37, 5.39, 5.41, 5.45, 5.49

Problem Set 6 (Sec. 4.6,5.1-5.2) due

Oct 25

Chapter 5: Joint Probability Distributions & Random Samples

5.5: Central Limit Theorem; Distribution of a Linear Combination

Practice Problems: 5.55, 5.57, 5.61, 5.65, 5.67, 5.89

Quiz 6 (Sec. 4.6,5.1-5.2)

Wk09 Oct 30

Chapter 7: Statistical Intervals Based on a Single Sample

7.1-7.2: Interval Estimates Constructed from Normal Distribution Percentiles

Practice Problems: 7.1, 7.5, 7.7, 7.15, 7.19, 7.23, 7.26

Problem Set 7 (Sec. 5.3-5.5) due

Nov 1

Chapter 7: Statistical Intervals Based on a Single Sample

7.3-7.4: Interval Estimates Constructed with Other Distributions

Practice Problems: 7.29, 7.35, 7.37, 7.41, 7.43, 7.45, 7.55

Quiz 7 (Sec. 5.3-5.5)

Wk10 Nov 6

Review for Prelim Exam 2

Problem Set 8 (Sec. 7.1-7.4) due

Quiz 8 (Sec. 7.1-7.4)

Nov 8

SECOND

PRELIM

EXAM

(Chapters 1, 5, and 7, plus Section 4.6)


Last Modified: 2012 October 30

Dr. John T. Whelan / john.whelan@astro.rit.edu / Associate Professor, School of Mathematical Sciences & Center for Computational Relativity and Gravitation, Rochester Institute of Technology

The contents of this communication are the sole responsibility of Prof. John T. Whelan and do not necessarily represent the opinions or policies of RIT, SMS, or CCRG.

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