PSY 737: Desc Stat Data Analy at John Jay College
3 credits · Fall 2026
Desc Stat Data Analy (PSY 737) at John Jay College has 1 way to take it in Fall 2026. 1 of 1 section has an open seat right now.
The professor is: Christopher Allen.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Matriculated in the Forensic Psychology or Forensic Mental Health Counseling MA program Prerequisite: PSY 769
About this course
This course introduces the use of SPSS and other computer software to manage and manipulate data sets, produce descriptive statistics, graphs, or other output that appropriately summarize patterns and relationships in the data, and produce inferential statistics that appropriately test hypotheses and support substantive interpretations and conclusions. Inferential statistics include bivariate and multivariate models.
Professors for PSY 737 at John Jay, Fall 2026
- Christopher AllenChill Rank 5 of 5: Brutallimited data?
1 section · 1 open · ★ 1.3 (3) · difficulty 4.7/5 · 0% would take again
Ordered chillest first. A Chill Rank compares a professor with other CUNY professors on Rate My Professors difficulty, rating and would-take-again; it needs at least 3 ratings. How it works
PSY 737 sections, times and seats
Seat status as of Oct 4, 6:46 PM ET. Seats can change between refreshes. How fresh is this?
Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means
Questions about PSY 737 at John Jay
- Who teaches PSY 737 at John Jay in Fall 2026?
- Christopher Allen is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is PSY 737 at John Jay hard?
- It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 4.7 out of 5. The Chill Rank above compares them directly.
- What if a PSY 737 section is full?
- Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.