Lydia Carter Renee’s Profile Student Toggle navigation

A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of R supplemented by some use of MS Excel.

A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of R supplemented by some use of MS Excel.

The course will focus on how students communicate technical and scientific information to a variety of audiences through written and oral presentations, using electronic media such as the Internet, Power Point and graphics programs. Students also analyze readings in science and technology, study technical writing models and practice collaborative research and presentation.

The course will focus on how students communicate technical and scientific information to a variety of audiences through written and oral presentations, using electronic media such as the Internet, Power Point and graphics programs. Students also analyze readings in science and technology, study technical writing models and practice collaborative research and presentation.