Welcome to ST511

Lecture 1

Dr. Elijah Meyer

NC State University
ST 511 - Fall 2024

2024-08-19

Welcome

If you want to follow along with the slides:

– go to Moodle and click Useful Links

– click Course Links -> Course Website

– click the computer icon under slides

Goals for Day 1

Get organized

Get to know the professor
Get to know each other
Course overview
Course workflow
RStudio-tour (if time)

Who am I?

Who Are You?

Please share with your neighbors:

Major
Year
Why you are taking this course
Anything else

Why Statistics?

helps quantify uncertainty (fundamental for research)
helps understand patterns and trends in data
helps make informed decisions

Data Literacy

Our Course

Our Classroom

Community
Communication
Respect

Course objectives

Learn to explore, visualize, and analyze data in a reproducible and shareable manner
Gain experience in exploratory data analysis, predictive modeling, and data visualization
Work on problems and case studies inspired by and based on real-world questions and data
Learn to effectively communicate results through written assignments

Some of what you will learn

– Fundamentals of R

– Data visualization

– Data ethics

– Reproducible reports with Quarto

– Regression

– Statistical inference

R - figures

Example R Figures

{fig.align = “center”}

Analysis

R

Note

This is a new language

Workflow & Websites

Moodle

ST 511 Website

Before Class

Watch lecture content videos
Complete any readings

Videos

During Class

Download class activity (right before class)
Warm up question
Mix of lecture and interaction

AE download demo

Please bring your laptops if able

Activities and assessments

Homework: Individual assignments combining conceptual and computational skills.
Exams: Exam 1 (take-home + in-class); Final exam (in-class)
Quiz: Weekly quizzes over the AE content (due Sunday unless otherwise specified)
Statistics Experience: Engage with statistics outside of the classroom and reflect on your experience.