Statistics

Announcements

Summer 2016

Guided Study Groups (GSG) are not offered during the summer sessions.  Be sure to consult your faculty, TAs or learning assistants during office hours and visit course related resource rooms such as the Chemistry Resource Room (New Location: 114 Whitmore) or the Physics Learning Resource Center (207 Osmond).  GSG will resume in the fall semester.


GSG Employment - Fall 2016

We are currently seeking a few Guided Study Groups (GSG) leader positions for fall 2016.  Please click here for employment information .  Thank you for your interest!


Shared Office Hours:

TA-led shared office hours for STAT 100, 200 and 240 will resume in 220 Boucke for fall semester on Monday, August 29. If you are taking one of these courses this summer, please see the course syllabus for instructor office hours. 

Tutorial assistance for STAT 200 can be obtained by participating in Guided Study Groups (GSG) during the fall and spring semesters.  GSG sessions are free and are led two to three times a week by an undergraduate peer leader, who has previously met success in the course.

World Campus students can get support for STAT 100 and STAT 200 through our online tutoring program .

Also, TAs from the Department of Statistics provide shared office hours for STAT 100, 200 and 240 during the fall and spring semester in 220 Boucke, Teamwork D.  Hours are Mon./Tues., 1:00-4:00 and 6:00-9:00 p.m., Wed., 2:00-4:00 and 6:00-9:00 p.m., and Thurs. 1:00 to 3:00 and 6:00-9:00 p.m.

Spring Office Hours for STAT 100, 200 and 240
Monday Tuesday Wednesday Thursday
1-2 PM Baha Jiayu
Nick
Bomin
Jiayu
2-3 PM Baha Jiayu
Nick
Jiyau Bomin
Ardalan
3-4 PM Baha
Bomin
Kyongwon
Nick
Bomin
Jiayu
6-7 PM Kyongwon
Saksham
Michelle
Justin
Michelle
Kyongwon
Michelle
Justin
7-8 PM Kyongwon
Saksham
Michelle
Justin
Ardalan
Nick
Ardalan
Justin
8-9 PM Kyongwon
Saksham
Michelle
Justin
Ardalan
Nick
Ardalan
Justin

STAT 200 - Elementary Statistics (4)
Descriptive statistics, frequency distributions, probability, binomial and normal distributions, statistical inference, linear regression, and correlation.

Contact Information:

R. Neill Johnson, Ph.D. 
Director, Penn State Learning
Office Address:  207C Boucke
814-863-2296 or rnj1@psu.edu
814-865-1841 (Student receptionist - 220 Boucke)