MATH 2050 - Statistical Data Analysis for the Sciences

3 Credit Hours
Prerequisite: MATH 1111 or higher
This course provides a non-calculus introduction to basic statistical concepts such as discrete and continuous probability distributions, estimation, hypothesis testing, linear regression, and correlation, typically encountered by students pursuing majors in STEM disciplines. Emphasis is placed on the use and interpretation of results obtained from a major statistical software package using real world examples in science. Upon successful completion of the Statistical Data Analysis for the Sciences course, the students should be able to:

Identify the basic data types and structures utilized in the statistical analysis of data
Calculate and interpret statistical measures of a dataset.
Develop and apply graphical representations of univariate and multivariate data.
Perform simulations to generate data in order to solve applied problems
Analyze data through a series of inferential methods such as hypothesis tests, confidence intervals, and regression.
Conduct statistical analysis of laboratory data.