Fall 2019  |  EPSY 5261 Section 001: Introductory Statistical Methods (15491)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Tue, Thu 04:00PM - 05:15PM
UMTC, East Bank
Science Teaching Student Svcs 512A
Enrollment Status:
Open (16 of 45 seats filled)
Also Offered:
Course Catalog Description:
Application of statistical concepts/procedures. Graphs, numerical summaries. Normal distribution, correlation/regression analyses, probability, statistical inferences for one or two samples. Hypothesis tests, Chi-square tests. Conceptual understanding/application of statistics.
Class Description:
This course is designed to provide an overview of introductory statistics. The topics to be covered in this course include graphing techniques, measures of center and spread, normal distributions, correlation, simple linear regression, sampling methods, experimental design, sampling distributions, and methods of statistical estimation and inference. Upon completion of this introductory course, students should be able to:(1) think critically about statistics used in popular magazines, newspapers, and journal articles, (2)apply the knowledge gained in the course to analyze simple statistics used in research, and (3)design a research study, use a statistical software package to analyze the data generated from this research study, and appropriately report the conclusions of this research study. Active participation is encouraged in this course, and many class periods will be spent working through activities, engaging in small- and large-group discussion, and learning how to use technology to solve different types of problems. Students will be expected to use SPSS in this course. A student-version of SPSS will be sold with the textbook, but this student version runs only on PCs, not on Macs. Any student who uses a Mac may need to complete SPSS work at a computer lab on campus.
Grading:
19% Final Exam
25% Reports/Papers
29% Quizzes
12% Class Participation
15% Problem Solving
Exam Format:
short-answer, multiple-choice true/false
Class Format:
10% Lecture
30% Discussion
30% Laboratory
30% Other Style class activities
Workload:
30 Pages Reading Per Week
20 Pages Writing Per Term
4 Exam(s)
3 Paper(s)
Other Workload: homework assignments
Textbooks:
https://bookstores.umn.edu/course-lookup/15491/1199
Instructor Supplied Information Last Updated:
21 May 2007

ClassInfo Links - Fall 2019 Educational Psychology Classes Taught by Jonathan Brown

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