OA3102: Statistics - NPS Online
Overview
Introduction to data entry, manipulation, descriptive statistics and graphing using statistical software. Point estimation, method of moments, maximum likelihood, least squares. Confidence intervals, tests of hypotheses for one- and two-sample problems. Goodness of fit and contingency tables, sign tests, Wilcoxon-Mann-Whitney test.
Prerequisites
- OA3101
Learning Outcomes
Upon completion of this course, the student should:• Understand how statistics complements probability
• Be able to effectively summarize and display data
• Understand sampling distributions and the Central Limit Theorem (CLT)
• Be able to derive point estimators and estimates, and know their properties, including the method of moments and maximum likelihood estimation
• Construct and interpret confidence intervals
• Test hypotheses and make power and sample size calculations
• Analyze categorical data
• Test for goodness-of-fit
• Have an introduction to nonparametric approaches, including the bootstrap
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