Course Title: Introduction to Stats
Title Abbreviation: INTRODUCTION TO STATS
Department: MATH&
Course #: 146
Credits: 5
Variable: No
IUs: 5
CIP: 270501
EPC: n/a
REV: 2013
Course Description
This course presents a connected introduction to probability and statistics using statistical inference as its theme. The course covers descriptive statistics, probability distributions including the binomial and normal distributions, confidence intervals and hypothesis tests, and linear regression and correlation with an emphasis on statistical inference. A graphing calculator may be required.
Prerequisite
Prerequisite: MATH 099 with a grade of C or higher or equivalent math placement score.
Contact Hours (based on 11 week quarter)
Lecture: 55
Lab: 0
Other: 0
Systems: 0
Clinical: 0
Intent: Distribution Requirement(s) Status:
Academic Natural Sciences, Quantitative
Equivalencies At Other Institutions
Learning Outcomes
After completing this course, the student will be able to:
General Education Learning Values & Outcomes
Revised August 2008 and affects outlines for 2008 year 1 and later.
1. Information Literacy
Definition: Recognizing when information is needed and have the ability to locate, evaluate, and use effectively the needed information.
Outcomes: Students will be able to . . . 1.1 Determine the extent of information needed. 1.2 Access the needed information effectively, efficiently, ethically, and legally. 1.3 Evaluate information and its sources critically.
2. Critical Thinking
Definition: The ability to think critically about the nature of knowledge within a discipline and about the ways in which that knowledge is constructed and validated and to be sensitive to the ways these processes often vary among disciplines.
Outcomes: Students will be able to . . . 2.1 Identify and express concepts, terms, and facts related to a specific discipline. 2.3 Identify, interpret, and evaluate pertinent data and previous experience to reach conclusions. 2.4 Evaluate decisions by analyzing outcomes and the impact of actions. 2.5 Identify similarities and differences in the ways in which data is collected and analyzed in different disciplines. 2.6 Recognize how the value and biases in different disciplines can affect the ways in which data is analyzed. 2.8 Describe how one’s own preconceptions, biases and values affect one’s response to new and ambiguous situations.
8. Mathematical Reasoning
Definition: Understanding and applying concepts of mathematics and logical reasoning in a variety of contexts, both academic and non-academic.
Outcomes: Students will be able to . . . 8.1 Analyze problems to determine what mathematical principles apply. 8.2 Correctly apply logical reasoning and mathematical principles to solve problems. 8.3 Interpret information and reasoning expressed mathematically (for example in spreadsheets, diagrams, charts, formulas, etc.). 8.4 Communicate mathematical information effectively.
9. Scientific Literacy
Definition: Understanding scientific principles, and analyzing and applying scientific information in a variety of contexts.
Outcomes: Students will be able to . . . 9.2 Demonstrate their understanding of the principles of scientific methods, analysis, and reasoning.
10. Technology
Definition: Understanding the role of technology in society and using technology appropriately and effectively.
Outcomes: Students will be able to . . . 10.3 Use technology appropriate to the context and task to effectively retrieve and manage information, solve problems, and facilitate communication.
Course Contents