MATH 1030 Introduction to Statistics - Fond Du Lac Tribal and ...

Fond du Lac Tribal and Community College
COURSE OUTLINE
I. Catalog Information
A. Title of Course: Introduction to Statistics B. Course Designator: MATH 1030
C. Number of Credits: Lecture 3 Lab D. Control Number: 35
E. Catalog/Course description:
An introduction to statistics suitable for social and behavioral science majors, but also
suitable for students in other disciplines. Topics include statistical theory and experimental
design, descriptive statistics, probability distribution models, regression analysis and
correlation, inference, and sampling methods. (Meets MnTC goal area 4).
F. Course prerequisites: G. Date Approved: Fall 1997
MATH 0020 Beginning Algebra OR Date Revised: 04/07/06, 12/04/09
placement by Accuplacer OR permission of instructor
II. Course Materials (Recommended course materials and resources. List all that apply, e.g.
textbooks, workbooks, study guides, lab manuals, videos, guest lecturers)
1) Textbook: One suitable textbook is Elementary Statistics: A Brief Version. by Bluman
2) scientific calculator with statistical functions.
III. Learning Goals, Outcomes, and Assessment Minimum of one goal and two learning
outcomes in each competency. If your course does not meet one of the Competencies Across
the Curriculum, please justify your rationale. Minimum of two assessment measures for
each learning outcome. Add other goals and outcomes as needed. If this course is part of the
Minnesota Transfer Curriculum (MnTC), attach the MnTC goals, outcomes, and your
assessment measures to this form; if possible, use them to complete the information below.
A. Information Literacy (the ability to use print and/or non-print tools effectively for the
discovery, acquisition, and evaluation of information as well as core computer tools for the
manipulation and presentation of information.)
1. Learning Goals:
Goal 1: Develop expertise using a scientific calculator in analysis of statistical problems.
2. Learning Outcomes and Assessments:
Outcome a. Be able to calculate statistical results from raw data.
Assessment: Complete homework problems asking for descriptive statistics of data.
Assessment: Answer exam questions involving statistical predictions for
applications.
Outcome b. Be able to calculate probabilities and calculate for counting problems.
Assessment: Complete homework problems with permutations and combinations.
Assessment: Answer exam problems calculating probabilities using additive and
multiplicative properties.

B. Ability to Communicate (the ability to listen, read, comprehend, and/or deliver information in
a variety of formats.)
Communication as a general goal is not addressed directly in mathematics courses.
C. Problem Solving (the ability to conceptualize, apply, analyze, synthesize, and/or evaluate
information to formulate and solve problems.)
1. Learning Goals:
Goal 1: Solve applied problems by analysis, mathematical technique, and reporting
results.
2. Learning Outcomes and Assessments:
Outcome a. Be able to solve applied problems with graphical analysis.
Assessment: Solve homework exercises involving plotting of data.
Assessment: Answer exam problems with descriptive graphs.
Outcome b. Be able to translate word problems into equations for technical solution.
Assessment: Complete homework problems using sampling techniques.
Assessment: Answer exam problems requiring regression analysis.
D. Culture (knowledge of Anishinaabe traditions and culture, knowledge of one’s own traditions
and culture, knowledge of others’ traditions and cultures, and/or respect for global diversity.)
Culture is not directly addressed in mathematics courses.
Documentation for MnTC
Goal 4: Mathematical/Logical Reasoning
IV. Course Content (Outline the major topics covered in this course.)
1. Introduction to set theory and counting.
2. Simple probability models.
3. Normal distribution models.
4. Descriptive statistics.
5. Other probability models.
6. Regression analysis and correlation.
7. Sampling techniques.
(revised October 2009)