STAT 230 – Course Introduction

Who am I?

• Adriana Picoral (PhD, you can call me Adriana)
• picorala@montclair.edu
• Office: Schmitt 374
• Office hours: Tuesdays and Thursdays, 1:45pm to 3:30pm

Active Learning

• I expect you to actively participate in class (that does not mean you have to speak to the entire group)
• Lots of hands-on activities and discussions
• We will be using Gradescope (more on this later) to submit in-class work and for homework assignments

Ice Breaker

• Find at least one person to talk to.

• Introduce yourself (name, major/program, anything else you’d like to share)

• What is something you are good at and that took many hours of practice?

Course Overview

Understanding data is the primary focus of this course with emphasis on statistical techniques for gathering, analyzing, summarizing and communicating the results of these analyses.

Statistical software is used.

In my sections that means we will be coding in R.

Course Overview

• Focus on both concepts and examples
• Focus on hands-on, bring a laptop to class if you have one
• Focus on real data in assignments

Grade Distribution

Assessment Element	Percentage of Final Grade
In-class Work	10%
Homework Assignments	20%
Quizzes (5)	30%
Group Project	30%
Final Portfolio	10%

In-class Work and Homework Assignments

In-class work and homework will be submitted to Gradescope.

Sign up for gradescope (it’s free) and enter our course page (Entry Code: 6JBP27)

Use your @montclair.edu email to sign up for gradescope, so I can match it to your email on canvas

Quizzes

Quizzes will take place during class (10 minutes)

Group Project

• 2-3 students
• Topic and research questions of your choosing

Final Portfolio

• Github repo