Applied Statistics

Catalog description

An introduction to modern inferential statistics with appropriate applications to telecommunications and related fields. Major topics covered are descriptive statistics, introduction to probability, binomial distribution, normal distribution, sampling and the Central Limit Theorem, estimation, hypothesis testing, regression and correlation, chi-square analysis and analysis of variance. The primary focus in this course will be on application of these statistical ideas and methods. Students will be required to conduct individual statistical projects involving the collection, organization and analysis of data. Prerequisite Course(s): Prerequisite: MATH 150 or MATH 151 or MATH 170 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3