Summer 2018  |  EPSY 3264 Section 001: Basic and Applied Statistics (82435)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Times and Locations:
Regular Academic Session
 
06/11/2018 - 08/03/2018
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (38 of 45 seats filled)
Also Offered:
Course Catalog Description:
Introductory statistics. Emphasizes understanding/applying statistical concepts/procedures. Visual/quantitative methods for presenting/analyzing data, common descriptive indices for univariate/bivariate data. Inferential techniques.
Class Notes:
This is an online course with an initial optional on-campus meeting Tuesday, June12th from 10:00am - 11:30am Appleby Hall Room 319. Contact the instructor if you cannot attend.
Class Description:
This course, which is designed for undergraduate students interested in a basic introduction to statistical methods, covers a variety of topics in descriptive and inferential statistics. Students will learn how to collect, organize, graph and analyze data, and they will learn about topics such as sampling, normal distributions, probability, correlation, regressioon, and tests of significance. Computer lab sessions are a part of the course and students will become familiar with statistical software that can be used to analyze data. A variety of teaching methods, including lecture, small and large group discussions, in-class activities, and computer lab work will be used to explain introductory statistical topics.
Grading:
5% Reports/Papers
20% Special Projects
50% Quizzes
5% Class Participation
20% Problem Solving
Exam Format:
Multiple choice and short answer
Class Format:
10% Lecture
20% Discussion
50% Laboratory
20% Other Style In-class activities
Workload:
15 Pages Reading Per Week
20 Pages Writing Per Term
4 Exam(s)
2 Paper(s)
Other Workload: One hour per week of work using statistical software
Textbooks:
https://bookstores.umn.edu/course-lookup/82435/1185
Instructor Supplied Information Last Updated:
21 May 2007

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