Skagit Valley College

Catalog Course Search Details

This course has been changed from the previous catalog, the changed field(s) are highlighted in red:

 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:    2019


 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 098 with a grade of C or higher or equivalent math placement score.

Additional Course Details

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

Other Institution Equivalencies Table
Institution Course # Remarks
CWU OMIS 221
OTHER Meets GUR at 3 BIS
U of W STAT 311
WSU 215
WWU TX To meet GUR, student must take MATH 102

Learning Outcomes

After completing this course, the student will be able to:

  1. Make and understand graphs for describing data.
  2. Demonstrate an understanding of and describe the measures of central tendency.
  3. Calculate the mean, mode, median, and standard deviation for a set of data.
  4. Demonstrate an understanding of the role of probability in the study of statistics.
  5. Demonstrate an understanding and use the basic laws of probability.
  6. Use formulas predicting mathematical expectation.
  7. Demonstrate an understanding of and use the binomial probability distribution.
  8. Find areas of the normal probability distribution and apply to problem solving.
  9. Demonstrate an understanding of and use the Central Limit Theorem.
  10. Estimate parameters of a population.
  11. Choose sample size and establish confidence intervals.
  12. Use statistical tests to hypothesis.
  13. Apply alternative mathematical techniques, from a historical perspective, where appropriate.
  14. Understand how mathematics is used in other fields and occupations.
  15. Understand the use of mathematics cross-culturally.
  16. PROGRAM OUTCOME: Acquire, organize, analyze, and interpret information and data to make informed, reasoned, equitable decisions and analyze systems for planning and decision-making.
  17. PROGRAM OUTCOME: Use written & spoken skills & tools, concepts, & models of management applicable to the professional-technical discipline to communicate clearly & create an effective message, while demonstrating a professional presence.
  18. PROGRAM OUTCOME: Demonstrate ability to assimilate, evaluate, & synthesize information from varying media & formats, including the ability to assess qualitative & quantitative data & to apply critical thinking & knowledge in an industry & managerial funct
  19. PROGRAM OUTCOME: Explore, appreciate, and define the opportunities, challenges, and nuances of operating in an increasingly diverse, interconnected, and complex global community.
  20. PROGRAM OUTCOME: Recognize and challenge culture-bound assumptions.

General Education Learning Values & Outcomes

Revised August 2018 and affects outlines for 2019 and later.

Quantify

Definition: Apply mathematical skills quantitatively, logically, creatively, and critically.

Course Contents

  1. Numerical and graphical methods of describing sets of data
  2. Measures of variability and central tendency
  3. Role of probability in statistics
  4. Laws of probability and probability distributions
  5. Mathematical expectations
  6. Binomial and normal probability distributions
  7. Interval estimation of population parameters
  8. Sample size
  9. Hypothesis testing
  10. Student t distribution
  11. Linear regression and correlation.