STAT 300Statistical Modeling I

3 credits · Statistics · Penn State

This course is designed to serve as a bridge between introductory statistics (including AP statistics) and more advanced applied statistics courses. The course will emphasize applied statistical modeling for real data using computer software (e.g. R, Minitab). Broad statistical topics include simple linear regression, multiple linear regression, analysis of variance (ANOVA) and factorial designs, logistic regression, multiple linear regression.

Before you enroll

Prerequisites

You need:

STAT 100 or STAT 200 or STAT 240 or STAT 250 or SCM 200 or PSYCH 200 or DS 200 or IE 323

Where it fits

Where it sits in degree plans

Suggested plans most often put it in Year 3 · Fall (2 programs).

Required in (1)

Statistics, B.S.

One of the options in (2)

Environmental Health and Safety, Minor
Systems Neuroscience, B.S.

What it opens up

Courses that list STAT 300 as a prerequisite (3)

STAT 400 Statistical Modeling II
STAT 463 Applied Time Series Analysis
STAT 487 Introduction to Statistical Analysis with Python