Faculty Coordinator

General Information

• Credits: 3
• Level: Required Upper Division
• Prerequisites: MAC 2312
• Corequisites:
• Availability: Contact Statistics Department

Catalog Description

Course Outcomes

• Students will have an understanding of the meaning of a measurement and the inherent variable in measurements.
• Students will be able to pictorially represent a data set using stem plots and box plots.
• Students will know that statistical procedures are useful for summarizing data from populations and for estimating and testing the parameters of a normal distribution.
• Students will be familiar with the fundamental operations for computing probabilities.
• Students will be familiar with the fundamental properties of such continuous distributions as the normal, exponential, gamma, and Weibull and such discrete distributions as the binomial. Poisson, geometric, Pascal and hypergeometric. This will include knowledge of the distribution formula, the calculation of moments and the finding probabilities. For some of these distributions they will learn how to generate random deviates on the computer.
• Students will learn the basic principles of estimation including how to generate confidence intervals. Knowledge of specific procedures for use with the normal distribution will be acquired.
• Students will learn the fundamentals involved in testing hypotheses and specific procedures to be used for the parameters of the normal distribution.

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