STA 3024 (Spring 2017)

Lectures:  MWF 8th period (3:00 – 3:50 pm), NRN 137, sec 7459


Teaching Assistants:   

Samrat Roy Srijata Samanta

office hours: Monday 11:45 am – 1:55 pm

office: Griffin Floyd 234


office hours: Friday 10:40 am – 12:35 pm

office: Griffin Floyd 234


Course Description and Objectives In this course, students learn how to summarize data, analyze it, and make appropriate decisions based on it. This course satisfies General Education Credits in the Mathematical Sciences and is in the general category of M. The sequence of courses STA 2023-3024 provides students with a firm foundation in the basics of applied statistical methods. The prerequisite for this course is STA 2023, which covered chapters 1-10 in the textbook (data collection, graphical and numerical summaries, probability and an introduction to statistical inference). The course begins with a review of STA 2023 and then focuses on the following four topics:

  1. Analysis of Variance to compare three or more population means.
  2. Analysis of Two-Way Tables to study the relationship between two categorical variables.
  3. Simple Linear Regression and Multiple Regression to predict a quantitative response.
  4. Nonparametric Statistics that do not require a normal distribution of the response variable.



  1. Course Notes. The course notes will be available at Target Copy. Everyone should get a copy.
  2. Textbook. Statistics: The Art and Science of Learning from Data, by Alan Agresti and Chris Franklin, 3rd edition, Prentice Hall. Textbooks are not required.
  3. Statistical Software. We will use the statistical computer package, Minitab, for homework. You can access it from UF Apps for free through or on any PC computer labs on campus (find locations and hours at: