- Faculty & Staff
Dr. Nancy Boynton, Coordinator
206 Fenton Hall
Fall 2017 courses for the stat minor
- STAT 300 - Statistical Methods II
This course is designed for students with an interest in data and statistics. We will review the ideas behind hypothesis testing and confidence intervals and then move on to an introduction to a variety of statistical techniques. We will focus collecting data and considering what we can infer from this data. In this class we will survey a variety of statistical methods including some regression and analysis of variance. The class is taught in a computer lab and will be very hands on. (This course will count toward the Statistics Minor.)
STAT 300 is 9:30 – 10:50 on Tuesday and Thursday
- STAT 408 - Data Science
We now have access to many data sets using the internet. In this course we will use some large sets, the R and RStudio software (free, open source software) and statistical thinking to make sense of these datasets. We will first need to get the data into a usable form (often referred to as data wrangling) and then find ways to analyze large amounts of data and present it in a way that makes sense. The class is taught in a computer lab and will be very hands on. (This course will count toward the Statistics Minor.)
STAT 408 is 3:00 – 4:20 on Monday and Wednesday.
- ECON 300 - Statistical Analysis
- BUAD 300 - Statistical Analysis
- 200 level statistics courses
- MATH 108, 120, 122, 231
- CSIT 121 - Computer Science I
Statistics in the Media
- The Best Master's Degrees for Jobs in 2016 - Take a look at numbers 1 & 2.
- Statistics Might Be the Most Important Class You Take in College
- Odds Lot: Statisticians Party Like It's 2.013 x 10 Cubed About 88% Through Celebratory Year, 100% in Field Find It 'Sexy'
- Susan Murphy wins a MacArthur Fellowship
- Data Crunchers Now the Cool Kids on Campus
- Data Scientist: The Sexiest Job if the 21st Century
- Biostatistics: Revealing Analysis
- The Age of Big Data
- Statistics - Dream Job of the next decade
- What Are the Odds that Stats Would Be This Popular?
- Following Digital Breadcrumbs To 'Big Data' Gold
- The Search For Analysts To Make Sense Of 'Big Data'
- The Joy of Stats
- Big Data and the Stalker Economy