Coopersmith Career Consulting | Evaluated Learning Experience
Probability and Statistics (MAT-304)
Various; distance learning format.
Varies (self-study; self-paced).
April 2019 - Present.
Upon completion of this course, students will be able to: calculate and use measures of central tendency to draw conclusions about data and organize data graphically; calculate probabilities and apply Bayes’ Theorem; determine continuous and joint probabilities and calculate expected values; perform calculations related to binomial, negative binomial, and Poisson distributions; solve applications involving common continuous distributions; determine the sample size needed to fit a situation and determine probabilities using the sampling distribution of the mean; construct confidence intervals for proportions and variance and determine maximum likelihood estimators; describe type I and type II errors and perform hypothesis tests; fit data using simple linear regression and compute correlation coefficients; and interpret results involving multiple linear regression models.
This course provides students with a working knowledge of the concepts in probability and statistics and the underlying theory and applications. Topics include: probability, discrete distributions, continuous distributions, sampling distributions, point estimation, interval estimation, hypothesis testing, simple linear regression, multiple regression, and nonlinear regression. Instructional methods include: study guide, required readings, and a final exam.
In the lower division baccalaureate/associate degree category OR in the upper division baccalaureate degree category, 3 semester hours in Accounting, Business, Computer Science, Data Sciences, Economics, Finance, or Mathematics (4/19).