Statistics (STA)

College of the Sciences and Mathematics

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STA 200. Introduction to Statistics II. 3 Credits.

Continuation of MAT 121/MAT 125. Inference about the means, standard deviations and proportions, goodness of fit, analysis of variance, regression analysis, correlation, and nonparametric tests.
Pre / Co requisites: STA 200 requires a prerequisite of a grade of C- or better in MAT 121, MAT 125 or ECO 251.
Typically offered in Fall & Spring.

STA 201. Statistical Methods for Political Polling. 3 Credits.

The purpose of this course is to introduce students to the statistical methodology used in the analysis of data from a political survey. Topics will include sampling techniques, hypothesis testing, sample size calculation, categorical data analysis, simple linear regression, and ANOVA. There will be a field trip to the Center for Opinion Research at Franklin and Marshall College at the beginning of the semester.
Pre / Co requisites: STA 201 requires prerequisites of MAT 121 and PSC 200.
Typically offered in Fall.

STA 202. Sports Analytics. 3 Credits.

In this course we will apply concepts such as regression, classification, clustering, decision trees and others to evaluate players and teams from baseball, basketball, football, hockey and soccer. We will also introduce the statistical programming language R in order to analyze recent (and large!) data sets.
Pre / Co requisites: STA 202 requires a prerequisite of a C- or higher in MAT 121 and MAT 125, or ECO 251.
Typically offered in Fall.

STA 311. Intro Statistical Computing and Data Management. 3 Credits.

Course will give students the ability to manage and manipulate data effectively, conduct basic statistical analysis, and generate reports and graphics primarily using the SAS Statistical Software Program.
Pre / Co requisites: STA 311 requires a prerequisite of MAT 121 or MAT 125.
Typically offered in Fall & Spring.

STA 319. Applied Statistics. 3 Credits.

This course will cover simple and multiple linear regression methods and linear time series analysis with an emphasis on fitting suitable models to data and testing and evaluating models against data.
Pre / Co requisites: STA 319 requires a prerequisite of C or better in (MAT 121 or MAT 125) and (MAT 143 or MAT 145 or MAT 161).
Typically offered in Fall & Spring.

STA 320. Experimental Design. 3 Credits.

The purpose of this course is to guide students in learning how to design, conduct and analyze the results of scientific studies so that valid and objective inferences about the population are obtained. It will cover ANOVAs, block, factorial, and split plot designs, as well as response surface analysis.
Pre / Co requisites: STA 320 requires a prerequisite of C or better in MAT 121 or MAT 125.
Typically offered in Fall.

STA 321. Topics in Advanced Statistics. 3 Credits.

Course will cover select topics in categorical analysis, nonparametrics and time series analysis. Emphasis will be placed on statistical programming, particularly simulations.
Pre / Co requisites: STA 321 requires prerequisites of C or better in STA 311, STA 319, STA 320, and MAT 421.
Typically offered in Spring.

STA 419. Basics of Statistical Learning. 3 Credits.

This course will provide an introduction to statistical learning and predictive modeling. Tools will be developed for visualizing and understanding complex data sets. All data analysis will be done using the statistical programming language R.
Pre / Co requisites: STA 419 requires a prerequisite of a C or better in STA 319.
Typically offered in Fall.

STA 490. Capstone Course in Statistics. 3 Credits.

Course will synthesize lessons learned throughout the students career with the goal of preparing students for work as professional statisticians. Topics will include report writing, presentations, statistical consulting, sampling design, and resume writing.
Pre / Co requisites: STA 490 requires prerequisites of ENG 368 or ENG 375 or ENG 371 and a C or better in STA 320 and STA 321.
Typically offered in Fall.