Penn State Learning is open for spring semester!
GSG Spring 2017 Session Schedule:
GSG sessions are up and running? Click here for the GSG session schedule. Also, please consult your faculty and TAs during office hours or stop by departmental resource rooms (e.g,, Chemistry Resource Room in 211 Whitmore, Physics Learning Resource Room in 207 Osmond, etc.).
GSG Upcoming Exam Reviews (alpha order by course):
STAT 200: Aanu (GSG Leader with Buchanan) will facilitate an exam review on Monday, April 3 from 6:00-8:00pm in 106 Boucke.
STAT 200: Samantha (GSG Leader with Philtron) will facilitate an exam review on Monday, April 3 from 7:30-9:30pm in 102 Thomas.
STAT 250: Mario (GSG Leader) will facilitate an exam review on Sunday, April 2 from 5:30-8:30pm in 112 Borland.
GSG Employment - Spring 2017
We currently do not have any positions open for the spring semester. Please check back in mid-March to inquire about fall 2017 openings. Thank you for your interest in becoming a Guided Study Groups leader.
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 200 through our online tutoring program .
Also, TAs from the Department of Statistics provide shared office hours for STAT 100 and STAT 200 during the fall and spring semester in 220 Boucke.
|1-2 PM||Ame Osotsi
|Ame Osotsi||Trinetri Ghosh
|2-3 PM||Ame Osotsi||Rui Wan
|Ame Osotsi||Trinetri Ghosh|
|3-4 PM||Ana Kenney||Panayiotis Constantinou
|6-7 PM||Ching-Chi Yang||Panayiotis Constantinou||Jonathan Fan||Panayiotis Constantinou|
|7-8 PM||Ching-Chi Yang||Ana Kenney||Jonathan Fan||Panayiotis Constantinou|
|8-9 PM||Ching-Chi Yang||Ana Kenney||Jonathan Fan||Jonathan Fan|
STAT 200 - Elementary Statistics (4)
Descriptive statistics, frequency distributions, probability, binomial and normal distributions, statistical inference, linear regression, and correlation.