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SyllabusSpring2010 Online

SyllabusSpring2010 Online - Math 200 Probability and...

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Math 200 – Probability and Statistics Spring 2010 Section #41417 Online Format (MyStatLab: http://www.coursecompass.com/) January 17, 2010 - May 24, 2010 Instructor: Inessa Kazaryan, Ph D (ABD) E-mail: [email protected] Mandatory Orientation: January 25 in Bldg. 7 - 7310 at 7:10 PM. Website: http://www.smccd.net/accounts/kazaryan/ Course: MATH-200 Probability and Statistics Prerequisites: MATH 120 or 123 with grade C or better or two years of high school algebra with grades of C or better with satisfactory placement test score and other measures as appropriate. Course Classification: 4 credits course transferable to University Course Location: Go to http://www.coursecompass.com/ ; register (you need an access code for MyStatLab , which could be purchased at Skyline’s bookstore.) You have an option to either buy the textbook with this code, or just buy the code and use the online textbook. The course ID which you need to register is kazaryan06222 Course Overview : This course will integrate graphing technology with the following topics: probability, random variables, hypothesis testing, confidence intervals, correlation, linear regression, small sample methods and non-parametric statistics. In addition to using graphing technology, students will learn the concepts through lecture, textbook (chapters 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 and 12), guided discovery, labs, and writing activities. Course Objectives: Upon the completion of this course, the student should be able to: 1. Define population and sample. 2. Describe a set of quantitative data by computing measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation). 3. Calculate probabilities using the addition law of probability, law of complement, multiplication law, and conditional probability. 4. Solve probability problems using counting techniques. 5. Construct a probability distribution for a discrete random variable and compute the expected value (mean), variance, and standard deviation of this distribution. 6. Construct a binomial probability distribution and compute the mean, variance and standard deviation. 7. Find probabilities using the z-tables (Z is a standard normal variable). 8. Use the Central Limit Theorem to find the mean and variance of the sampling distribution of the sample mean. 9. Compute confidence intervals using the Z and t-distributions. 10. Use a hypothesis test to determine whether to accept or reject the null hypothesis: a statement, assertion, or claim about the nature of a population. 11. Calculate the coefficient of linear regression (correlation coefficient) for bi-variate data. 12. Fit a least squares regression line to bi-variate data. 13. Use the equation of the regressions line to predict a particular value of y of a specific value of x. 14. Conduct hypothesis tests using the Two-Sample Sign Test or the Rank-Sum Test.
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