I. ASCRC General Education Form
Group
III Symbolic Systems
Dept/Program
Mathematical Sciences
Course Title
Prerequisite
Statistics
Math 117 or C/I
Course #
241
Credits 4
II. Endorsement/Approvals
Complete the form and obtain signatures before submitting to Faculty Senate Office
Please type / print name Signature
Date
Instructor
Phone / Email
Program Chair
Dave Patterson
Dean
Gerald A. Fetz
III. Description and purpose of the course: General Education courses must be introductory
and foundational. They must emphasize breadth, context, and connectedness; and relate course
content to students’ future lives: See Preamble:
http://www.umt.edu/facultysenate/gened/GEPreamble_final.htm
IV. Criteria: Briefly explain how this course meets the criteria for the group. See:
http://www.umt.edu/facultysenate/ASCRCx/Adocuments/GE_Criteria5-1-08.htm
1. rigorously present a mapping between Uses probability models (discrete and
continuous) to model real-world random
a real-world system and a human
phenomena including data collection by
abstraction of the system.
random samples.
Uses various models and statistical tests for
2. applies analysis, reasoning and
one- and two-sample problems and
creative thinking in the understanding
regression to analyze data and make
and manipulation of symbolic codes.
inferences
Uses graphical and numerical summaries to
3. utilizes alternative methods of
present and summarize data. Emphasizes
communication, perception, and
written interpretation and communication of
expression in order to encourage
statistical results in the context of the realrigorous thinking.
world problem.
V. Student Learning Goals: Briefly explain how this course will meet the applicable learning
goals. See: http://www.umt.edu/facultysenate/ASCRCx/Adocuments/GE_Criteria5-1-08.htm
(refer to attached learning goals)
1. demonstrate an understanding of the
Goals 2,4
symbols and the transformations of the
system.
2. relay and interpret information in terms Goals 1,5
of the given symbolic system.
Goals 3,6
3. apply creative thinking using the
symbolic system in order to solve
problems and communicate ideas.
VII. Syllabus: Paste syllabus below or attach and send digital copy with form. ⇓ The syllabus
should clearly describe how the above criteria are satisfied. For assistance on syllabus
preparation see: http://teaching.berkeley.edu/bgd/syllabus.html
Attached
*Please note: As an instructor of a general education course, you will be expected to provide
sample assessment items and corresponding responses to the Assessment Advisory Committee.
Course: MATH 241
Title: Statistics
Date revised: September 10, 2008
I. Purpose of the course: To provide an introductory level statistics course which does not
have a calculus prerequisite. The course is intended for undergraduates in any discipline
that has a statistics requirement.
II. Course description: (from http://www.umt.edu/catalog/mathsci.htm):
U 241 Statistics 4 cr. Offered autumn and spring. Prereq., MATH 117 or consent
of instr. Introduction to major ideas of statistical inference. Emphasis is on
statistical reasoning and uses of statistics.
III. Credit Hours: 4
IV. Frequency of Offering: Every semester (2 lectures, 14-16 discussion sections)
V. Audience: Anyone from a discipline requiring an introductory, non-calculus-based
statistics course. Approximately 50% of the students are business majors.
VI. Learning Goals:
1. To learn how to describe and explore sets of data both numerically and
graphically.
2. To learn the normal model for the distribution of a single variable and the linear
regression model for the relationship between two variables.
3. To learn the basic ideas of good experimental design and good sampling design.
4. To learn the fundamental ideas of statistical inference for means and proportions
including both hypothesis testing and confidence intervals.
5. To learn how to interpret confidence intervals and P-values in the context of real
problems.
6. To learn how to be critical consumers of statistical studies reported in the media.
VII. Typical Methods of Course Assessment: AT(discussion sections), EX(IC), HW, PR
VIII. Course Format: 3 weekly lectures by a faculty member, and 1 weekly discussion
section by a graduate T.A. or adjunct instructor.
IX. Use of Technology (if any): SPSS, various videos, in-class computer demonstrations.