Current Online Course Schedule

This page gives you a quick way to find out more about online and hybrid courses offered at MiraCosta. Click any course title to learn more about the course. Many instructors add details here about expectations for the course and what students need to do to get started.

Courses listed as "Online Only" may be completed entirely online.
Courses listed as "Hybrid" will have some class activity that takes place at a designated location in addition to your online coursework. This activity may range from a few proctored exams to regular meetings on a MiraCosta campus.

Statistics for Behavioral Science

This course introduces statistical methods for analyzing data in the behavioral sciences. Topics include basic research design; descriptive statistics, probability and sampling distributions; statistical inference and power; linear correlation and regression; t-test and one-way analysis of variance; chi-square. Students use appropriate technology (e.g., calculators and SPSS) to analyze real-world data and report results using American Psychological Association style. UC CREDIT LIMITATION: Credit for BIO 180/BTEC 180, MATH 103, PSYC 104/SOC 104, or PSYC 104H/SOC 104H. C-ID SOCI-125.

Subject: PSYC
Course Number: 104
Section Number: 1798
Units: 4

Instructor information about this course

Learning Management System (LMS) for this course: Blackboard
LMS link:
Course start page:
Course email:
Office: OC3110
Office hours: TBA & by appointment
Phone: (760) 757-2121, x6262
Instructor notes: A great way to learn Behavioral Statistics. The course includes three exams that must be taken on the MiraCosta campus (or by arrangement at another proctoring center). The exams are taken at the Academic Proctoring Center, which has locations on both the Oceanside and San Elijo MiraCosta campuses, with hours typically in the morning, afternoon, and evening M - F. Students who have not logged into the course and completed the orientation activity by Tuesday of the first week of class may be dropped to make room for other students who wish to add. An example syllabus can be found at Hope to see you in the Fall!

Login to this course

Back to Schedule