Sep 07, 2024  
2014-2015 Undergraduate Academic Catalog 
    
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2014-2015 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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MA 2410 - Statistics for Math Majors

4 lecture hours 0 lab hours 4 credits
Course Description
This course is designed to acquaint actuarial science and operations research majors with the statistical tools they need to make decisions in the face of uncertainty. The probability on which these tools are based will be emphasized. Both descriptive and inferential statistics are considered. Probability distributions, the central limit theorem, confidence intervals, hypothesis testing, analysis of variance and regression are considered in depth. (prereq: MA 2630 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
• be able to set up a frequency distribution
• be able to compute the mean and standard deviation of a set of numbers
• be able to determine probabilities of specific events
• be able to recognize and use the binomial and normal probability distributions
• be able to test a hypothesis about means and the binomial parameter ‘p’
• be able to estimate the mean of a population and the parameter ‘p’
• understand analysis of variance and be able to calculate linear and multiple regression using Microsoft® Excel* *Microsoft is a registered trademark of Microsoft Corporation in the United States and/or other countries.
Prerequisites by Topic
• Algebra
Course Topics
• Introduction (3 classes)
• Probability (2 classes)
• Discrete probability distributions (2 classes)
• Bimonial distribution (1 class)
• Poisson distribution (1 class)
• Hypergeometric distribution (2 classes)
• Continuous probability distributions (1 class)
• Normal distribution (2 classes)
• Exponential distribution (1 class)
• Sampling (5 classes)
• Hypothesis testing (1 class)
• Estimating mean and variance (3 classes)
• Estimating proportion (2 classes)
• Analysis of variance (5 classes)
• Regression (6 classes)
• Exams (3 classes)
Laboratory Topics
• None
Coordinator
Ron Jorgensen


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