This course introduces the student to the elements of data analysis and statistical computing. Some basics of the probability theory are discussed. They include the definition of probability, counting techniques, discrete and continuous probability distributions. The other topics covered include sampling, data organizing, data summarizing, population parameters and sample statistics, estimations of population parameters, hypothesis testing, z-test, t-test, variance (standard deviation) test, correlation and linear regression. Prerequisite: Grade of C or better in Mathematics 113 or WPI. 01/11/2022-05/03/2022 Lecture Tuesday, Thursday 09:30AM - 10:50AM, Kemper-Redd Center, Room 102
- Teacher: Igor Woiciechoski