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Statistical Analysis

Course Description

An examination of statistical applications to business, computer science, psychology, education, social sciences, and mathematics with fundamental concepts of probability distribution, mathematical models relating independent and dependent random variables, hypothesis testing and experimental design. Includes fundamental analysis of variance, various distributions and methods of regression, analysis and scaling.

Learning Outcomes

  • Analyze the characteristics of distributions including central tendency and dispersion.
  • Define probability, probability distributions, random variables, and expectation of events.
  • Choose between and use binomial distribution, Poisson processes, normal distribution.
  • Compute and utilize probability densities, the gamma distribution, the beta distribution, the Weibull distribution.
  • Recognize sampling distribution and statistical inference.
  • Determine rejection of outliers, distribution of extremes.
  • Apply the method of least squares to linear regression.
  • Demonstrate knowledge of P-values and hypothesis test.

Prerequisites

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College of Letters and Sciences

“Our faculty are established scholars and creators in their own fields. They are dedicated to making your entry into their disciplines a successful one, preparing you for your career as well as graduate study.”
College of Letters and Sciences
Rico M.
Class of 2014, Military Veteran