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# syllabus - PURDUE UNIVERSITY CALUMET Department of...

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PURDUE UNIVERSITY CALUMET Department of Mathematics, Computer Science and Statistics STAT 51100/STAT 34500 Statistical Methods/Statistics Spring 2011 Instructor: Gokarna Aryal, Ph.D. Classroom and Time : CLO 132, TR 5:00 PM- 6:20 PM. Oﬃce: Classroom Oﬃce Building, CLO 360 Oﬃce Hours: MW 2:00- 3:00 PM, TR 4:00- 5:00 PM and other times by appointment Contact: Phone: (219) 989 2701 E-mail: aryalg @ purduecal.edu Prerequisites: MA 16400 or equivalent with C or better grade. Text: Introduction to Probability and Statistics, 4th Edition by J. S. Milton and J.C. Arnold Course Objectives: Students will be able to determine all pertinent statistical measures for a given set of data. Students will be able to use appropriate counting techniques and compute the correct probability of a given event. Students will understand the probability density curve, be able to represent probability geometrically, and find the probability of a given event using a statistical table or statistical software. Students will be familiar with the central limit theorem and will be able apply in a given situation. Students will be able to determine appropriate test statistic and compute the confidence interval for unknown population parameters. Students will be able to perform hypothesis testing for unknown population parameters. Course Outline: We will follow the textbook, with minor deviations. We plan to cover the following topics : Descriptive Statistics Introduction to Probability and Counting Some Probability Laws Discrete Probability Distributions Continuous Probability Distributions Joint Probability Distributions Point Estimation Inference on Mean and Variance of a Distribution Inference on Proportion Simple Linear Regression Course Grade: Your final grade will be based on your performance on the homework, quizzes and the exams described below.

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syllabus - PURDUE UNIVERSITY CALUMET Department of...

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