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STAT 344: Probability and Statistics for Engineers and Scientists I Section 002, Spring 2006 Web-site: http://mason.gmu.edu/~irytikov/ Course Objectives: This is a first course in applied probability and statistics for engineers and scientists. The emphasis is on developing probability concepts and problem solving skills that are useful in areas of information technology including computer science, electrical and computer engineering, information systems, operations research, statistics, and systems engineering. Textbook: Jay L. Devore: Probability and Statistics for Engineering and the Sciences, Sixth Edition Thomson, 2004 Grading: 1. Homework (10%): Homework will be assigned every class. Two worst homework grades will be dropped. 2. Four In-Class Quizzes (10% each): The dates will be given in advance. One worst quiz grade will be dropped. 3. Two In-Class Exams (20% each): The dates will be given in advance. 4. Final Exam (20%): The exam is scheduled on May 15 from 7:30 pm until 10:15 pm. Attendance and Class Participation: Students are expected to attend and be on time for all lectures, and to participate in classroom discussions. Honor Code: Please read GMU Honor Code at GMU Honor Code and follow it. You are allowed to work in groups on homework. However, each student must submit his/her own work to receive credit. You are required to work alone on tests and quizzes. Any student caught cheating on exams or copying assignments will be turned in to the Honor Committee. Help is always available. See your instructor or TA if you have any problems or concerns. Approximate Schedule: |

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Time: |
M : 7:20 pm 10:00 pm |
Place: |
S&T II, room 9 |
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Instructor: |
Dr. Ioulia Rytikova |
Office: |
S&T I, room 115 |
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e-mail: |
Office Hours: |
By appointment |
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Sections |
Topic |
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2.1 2.5 |
Sample Spaces and Events, Axioms of Probability Combinatorial Methods and their Applications Conditional Probability, Independence and the Bayes Rule Quiz 1 |
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3.1 3.6 |
Random Variables, Discrete Random Variables Probability Distributions and Probability Mass Functions Special Discrete Distributions: Binomial, Hypergeometric, Negative Binomial, and Poisson Exam 1 |
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4.1 4.4 |
Continuous Random Variables Special Continuous Distributions: Uniform, Normal, and Exponential Quiz 2 |
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5.1, 5.2 |
Joint Probability Distributions, Covariance and Correlation Quiz 3
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5.3 5.5 |
Sampling Distributions Exam 2 |
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6.1 |
Point Estimation of Parameters |
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7.1 7.4 |
Interval Estimation of Parameters Quiz 4 |
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8.1 8.5 |
Testing Hypotheses for a Single Sample |
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9.1 9.5 |
Statistical Inference for Two Samples |
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Final Exam |