Probabilidad

Formulas

Statistics and Probability essay

Annual Meeting of the American Educational …, 2003

1. Given any of a variety of common graphs or tables, including bar graphs, time series, and two-by-two tables, students will be able to read off the value of a specified case and to give the number (or percent) of cases of a specified type. 2. Given a number of values or a ...

Purpose At the end of the course the student should be able to handle problems involving probability distributions of a discrete or a continuous random variable. Objectives By the end of this course the student should be able to; (1) Define the probability mass, density and distribution functions, and to use these to determine expectation, variance, percentiles and mode for a given distribution (2) Appreciate the form of the probability mass functions for the binomial, geometric, hypergeometic and Poisson distributions, and the probability density functions for the uniform, exponential gamma , beta and normal, functions, and their applications (3) Apply the moment generating function and transformation of variable techniques (4) Apply the principles of statistical inference for one sample problems. DESCRIPTION Random variables: discrete and continuous, probability mass, density and distribution functions, expectation, variance, percentiles and mode. Moments and moment generating function. Moment generating function and transformation Change of variable technique for univariate distribution. Probability distributions: hypergeometric, binomial, Poisson, uniform, normal, beta and gamma. Statistical inference including one sample normal and t tests.