207 syllabus 2011

207 syllabus 2011 - Math 207, Probability and Statistics...

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Math 207, Probability and Statistics Spring Semester, 2011 Dr. Evelyn Bailey Office hours: Posted weekly on the class conference Readers: How to Lie With Statistics by Darrell Huff Super Crunchers by Ian Ayres Materials: Typed formal notes with homework problems, class notes, and articles are provided on the Learnlink class conference; a calculator (TI-84, or equivalent). Content: Probability, Bayes Theorem, counting, probability functions (in general), Chebyshev’s Theorem, discrete distributions (binomial, hypergeometric, Poisson, uniform), continuous distributions (Exponential, Normal, Uniform), Central Limit Theorem, visual displays of data, measures of central tendency and of variability, classification of data, Confidence Intervals, Hypothesis Testing (for means and for proportions, for one and two samples), Chi Square goodness of fit tests and Contingency Tables, one-way ANOVA, simple linear regression and correlation, nonparametric tests (median, Wilcoxon Rank Sum Test, Kruskal-Wallis Test). The first half uses calculus to explore concepts of probability upon which statistics is based. Goals: At the end of this course students should be able to: * work various probability problems, * understand the role of functions in statistics, * categorize data, * recognize several standard distributions, * analyze interval data involving difference of means, difference of proportions, * check for inherent assumptions for the statistical models in this course, * interpret relationships in bivariate data, * compare distributions of responses, * analyze data using rankings (nonparametric statistics), * understand the role of statistics in analyzing data and in inference. * describe major misuses of statistics, In addition, each student will be expected to participate in a class project that includes gathering and analyzing data, writing a formal report, and presenting this report to the appropriate audience. Grading : Grades will be determined by student performance on four different problem sets, two group experiments, a class project, responses to the readers, and a final exam. The total sum of points for each student determines the student's grade. Points are determined as follows: 4 problem sets @ 100 400 2 small group experiments @ 50 100 1 Class Project 140 4 Responses to the Readers @40 160
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1 final exam 200 Total 1000 points There will be opportunities for extra credit work. Extra credit problems are usually not the standard type problems but those that require more thought and some original work. You must do work independently for credit on bonus work unless otherwise indicated and pledge that you have done so . Points earned on extra credit will be added to your total points that will determine your grade. In general,
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This note was uploaded on 12/05/2011 for the course MATH 207 taught by Professor Bailey during the Spring '11 term at Emory.

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207 syllabus 2011 - Math 207, Probability and Statistics...

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