Appendix C

College of Micronesia-FSM

Course Outline Cover Page
Statistics       Division of Natural Sciences and Mathematics MS 150
Course Title           Department and Number

Course Description: A one semester course designed as an introduction to the basic ideas of data presentation, descriptive statistics, linear regression, and inferential statistics including confidence intervals and hypothesis testing. Basic concepts are studied using applications from education, business, social science, and the natural sciences. The course uses spreadsheet software for both data analysis and presentation.

Course Prepared by: Dana Lee Ling Campus/site: National site 

Course Type   Hours Per Week   No. of weeks  Total Hrs Divisor  Sem. Credits
Lecture        3             ×  16          =  48       /16   =    3 
                                          Total Semester Credits = 3

(Hours per week × number of weeks = total hours) (Total hour/divisor = semester credits)

Divisors
Lecture:    /16 Co-op education /30 Workshop:   /48   Practicum:   /48 
Lect/Lab:   /16                     Internship: /48   Field study: /48  
                                    Studio:     /48   Lab:         /48 

Purpose of Course: Degree requirement X
                   Degree elective    X 
                   Certificate 
                   Other

Prerequisite Course: ESL 089 Reading V and passing any 100 level or higher mathematics course

Signature, Chairperson, Curriculum Committee: ________________________ Date: ________

Signature, President, COM-FSM: ________________________ Date: _________________

Appendix B
College of Micronesia-FSM

Course Outline Format
  1. Program Learning Outcome:
    1. 3.1 Demonstrate understanding and apply mathematical concepts in problem solving and in day to day activities
    2. 3.2 Present and interpret numeric information in graphic forms
  2. Course Learning Outcomes:
    1. Perform basic statistical calculations
    2. Obtain results using normal and t-distributions
    3. Perform linear regressions
  3. CLOPLO 3.1PLO 3.2
    1I,D,MI,D
    2I,D I
    3I,D I,D,M
  4. Student Learning Outcomes:
    CLO1 Perform basic statistical calculations
    Student learning outcomesAssessment strategies
    1.1 Identify levels of measurement and appropriate statistical measures for a given level of measurement. Quizzes and/or tests.
    1.2 Determine frequencies, relative frequencies, creating histograms and identifying their shape visually.
    1.3 Calculate basic statistical measures of the middle, spread, and relative standing.
    1.4 Calculate simple probabilities for equally likely outcomes.
    1.5 Determine the mean of a distribution.

    CLO2 Obtain results using normal and t-distributions
    Student learning outcomesAssessment strategies
    2.1 Calculate probabilities using the normal distribution Quizzes and/or tests.
    2.2 Calculate the standard error of the mean
    2.3 Find confidence intervals for the mean
    2.4 Perform hypothesis tests against a known population mean using both confidence intervals and formal hypothesis testing
    2.5 Perform t-tests for paired and independent samples using both confidence intervals and p-values

    CLO3 Perform Linear Regressions
    Student learning outcomesAssessment strategies
    3.1 Calculate the linear slope and intercept for a set of data Quizzes and/or tests.
    3.2 Calculate the correlation coefficient r
    3.3 Generate predicted values based on the regression

  5. Required text and course materials Introduction to Statistics Using LibreOffice.org Calc, Dana Lee Ling, College of Micronesia-FSM, 2011, or subsequent editions. In-class access to a computer with OpenOffice.org Calc. Recommended materials: Scientific calculator with basic statistics functionality.
  6. Reference materials
  7. Methods of Instruction The course will be taught by lecture, class discussion, and the use of spreadsheet software for problem solving and computer simulations. This course will be taught in a computer laboratory classroom. Also, students will be encouraged to utilize the computer labs outside of class for homework assignments.
  8. Course contents
    1. Populations and samples
    2. Visualizing data
    3. Measures of middle and spread
    4. Paired data and scatter diagrams
    5. Probability
    6. Probability distributions
    7. Introduction to the normal distribution
    8. Normal distribution and z-Values
    9. Confidence intervals for the mean
    10. Hypothesis testing against a known population mean
    11. Hypothesis testing two sample means
  9. Instructional costs Large screen computer display technology that can viewed with the lights on, routine classroom supplies. Availability of OpenOffice.org Calc software on student accessible computers on campus.
  10. Evaluation Methods of measurement will include class participation, homework, quizzes, tests, midterm, and final examinations. A final percentage will be calculated by dividing the total points earned by the the total points possible. Grades will be assigned according the following: 90-100% A; 80-89% B; 70-79% C; 60-69% D, below 60% F.
  11. Attendance policy As per the current college catalog.
  12. Academic honesty policy As per the current college catalog.
  13. Credit-by-examination None.