Directories and Search

Course Search

Courses may be offered in one of the following modalities:

Traditional in-person courses (0–29 percent of coursework is delivered online, the majority being offered in person.)
Hybrid/blended courses (30–79 percent of coursework is delivered online.)
Online courses (100 percent of coursework is delivered online, either synchronously on a designated day and time or asynchronously as a deadline-driven course.)
Hyflex (Students will be assigned to attend in-person or live streamed sessions as a reduced-size cohort on a rotating basis; live sessions are also recorded, offering students the option to participate synchronously or view asynchronously as needed.)

If you are enrolled in courses delivered in traditional or hybrid modalities, you will be expected to attend face-to-face instruction as scheduled.

Psychological Statistics Lab (PIA-137)

Semester:	Fall 2024
Number:	0501-137-210
Instructor:	Christina Marini
Days:	Tuesday Thursday 4:30 pm - 5:20 pm
Note:	Traditional In-Person Class
Location:	Garden City - Swirbul Library 101
Credits:
Status:	This Course is Filled to Capacity
Notes:	Pass / Fail grade only
Course Materials:	View Text Books
Related Syllabi:	Katherine Fiori for Fall 2010*
	*Attention Students: Please note that the syllabi available for your view on these pages are for example only. The instructors and requirements for each course are subject to change each semester. If you enroll in a particular course, your instructor and course outline may differ from what is presented here.
Description:	(Learning Goals:Q;Distribution Reqs:Mathematics,Computing & Logic)
Learning Goals:	(1) Understand basic concepts of psychological statistics and how it is used to answer questions in psychological research. (2) Summarize numeric data by computing descriptive statistics (e.g., mean, variance) and by creating tables and graphs.(3) Compute various inferential statistics (e.g., t-score). (4) Test hypotheses applying probability theory.(5) Explain the differences among various statistical techniques and identify an appropriate technique for a given set of variables and research questions.(6) Interpret basic statistical results and distinguish between statistical significance and practical significance.(7) Evaluate the validity of conclusions presented in research reports and in the media.(8) Understand and utilize a statistical software package (SPSS for Windows) and Excel for Windows for data organization, display and computation of statistical procedures discussed in the lecture. *The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.
Prerequisites:	PIA 101 or GNA 106 or GSS 102

» View Other Sections of this Course

« Back to Search Results

Apply Now
Request Information