College of MicronesiaFSM Course Modification Request Form
Course title and code: MS 150 Statistics 
Division: Natural Sciences and Mathematics 
Initiator: Dana Lee Ling 
New course objectives: 1. Perform basic statistical calculations 2. Calculate confidence intervals for the mean 3. Test hypotheses 4. Perform linear regressions 5. Engage in data exploration and analysis  
New 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 health, education, business, social science, and the natural sciences. The course uses spreadsheet software for both data analysis and presentation. The course includes a focus on the use of computing technologies for statistical problem solving.  
New textbook: Lee Ling, Dana (2013). Introduction to Statistics Using LibreOffice.org Calc, OpenOffice.org Calc, and Gnumeric, Edition 5.2, Pohnpei: College of MicronesiaFSM. Or subsequent editions.  
Justification for revising course: Inclusion of exploratory data analysis  
Decision: 
[ ] Approved [ ] Not approved 

Comment:  
CAC chair signature:  Date:  
Division chair signature:  Date:  
VPIA COMFSM signature:  Date: 
Official Use Only 
New Course Number and Title: 
College of MicronesiaFSM Course Outline: Cover Page
1) GENERAL INFORMATION:  
COMFSM address  COMFSM, PO BOX 159, Pohnpei, Kolonia, FM96941  
Course title: MS 150 Statistics 
Campus: National 
Initiator: Dana Lee Ling 
Date: 10 December 2013 
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 health, education, business, social science, and the natural sciences. The course uses spreadsheet software for both data analysis and presentation. The course includes a focus on the use of computing technologies for statistical problem solving.  
2) Course hours: Lecture: 3 Laboratory: Workshop: TOTAL: 3  
Purpose of course 
[ ] Degree requirement [ X ] Degree elective [ ] Certificate [ ] Other  
Prerequisite courses: ESL 089 and passing any 100 level or higher mathematics course.  
3) PLOS OF OTHER PROGRAMS THIS COURSE MEETS:  
PLO#  Program  
GE 3.1  Demonstrate understanding and apply mathematical concepts in problem solving and in day to day activities.  
GE 3.2  Present and interpret numeric information in graphic forms.  
CAC chair signature:  Date recommended:  
VPIA, COMFSM signature:  DATE approved: 
College of MicronesiaFSM Course Outline Format
(1) INSTITUTIONAL LEARNING OUTCOMES (ILOs): The student will be able to:  
[ ] 1. Effective oral communication [ ] 2. Effective written communication [ ] 3. Critical thinking [ X ] 4. Problem solving [ ] 5. Intercultural knowledge and competence [ ] 6. Information literacy [ ] 7. Foundations and skills for lifelong learning [ X ] 8. Quantitative reasoning  
(2) PROGRAM LEARNING OUTCOMES (PLOs): Primary program the course serves: General education The student will be able to:  
GE 3.1  Demonstrate understanding and apply mathematical concepts in problem solving and in day to day activities.  
GE 3.2  Present and interpret numeric information in graphic forms.  
(3) PLOS AND ILOS MATRIX  
PLOs  ILO1  ILO2  ILO3  ILO4  ILO5  ILO6  ILO7  ILO8 
1  
2  
3  
4  
(4) STUDENT LEARNING OUTCOMES (SLOs) GENERAL: The student will be able to:  
1. Perform basic statistical calculations  
2. Calculate confidence intervals for the mean  
3. Test hypotheses  
4. Perform linear regressions  
5. Engage in data exploration and analysis  
(5) PLOs AND SLOs MATRIX. I = introduced D = demonstrated M = mastered  
SLO  PLO1 GE 3.1  PLO2 GE 3.2  
1  D  D  
2  D  
3  D  
4  D  D  
5  D  D  
(6) STUDENT LEARNING OUTCOMES (SLOs) SPECIFIC: The student will be able to:  
General SLO 1: Perform basic statistical calculations  
Student Learning Outcome  Assessment Strategies  
1.1 Identify levels of measurement, variables, and appropriate statistical measures for a given level of measurement  Homework, quizzes, tests  
1.2 Calculate basic statistical measures for the middle, spread, quartiles, and relative standing  
1.3 Determine frequencies and relative frequencies, create histograms and identify their shape visually  
General SLO 2: Calculate confidence intervals for the mean  
Student Learning Outcome  Assessment Strategies  
2.1 Calculate the standard error of the mean of a sample  Homework, quizzes, tests  
2.2 Calculate the margin of error for the mean using t_{critical}  
2.3 Generate the confidence interval for the mean of a sample using the tdistribution  
General SLO 3: Test hypotheses  
Student Learning Outcome  Assessment Strategies  
3.1 Perform hypothesis tests against a known population mean using both confidence intervals and formal hypothesis testing  Homework, quizzes, tests  
3.2 Perform ttests for paired and independent samples using both confidence intervals and pvalues  
General SLO 4: Perform linear regressions  
Student Learning Outcome  Assessment Strategies  
4.1 Calculate the linear slope and intercept for a set of data  Homework, quizzes, tests  
4.2 Calculate the correlation coefficient r  
4.3 Generate predicted values based on the regression  
General SLO 5: Engage in data exploration and analysis  
Student Learning Outcome  Assessment Strategies  
5.1 Explore statistically and graphically represent data sets using appropriate statistics and graphics for that data set  In class exercises, homework, exam  
5.2 Make inferences supported by appropriate statistical operations  
5.3 Answer questions about data sets with statistically correct responses  
(1) COURSE CONTENT 1. Populations and samples 2. Measures of middle and spread 3. Visualizing data 4. Paired data and scatter diagrams 5. Probability 6. Standard error 7. Confidence intervals for the mean 8. Hypothesis testing against a known population mean 9. Hypothesis testing two sample means 10. Data exploration  
(2) METHOD OF INSTRUCTION 
[ X ] Lecture [ ] Laboratory [ ] Audio visual [ X ] Demonstrations 
[ X ] Cooperative [ ] learning groups [ X ] Inclass exercises [ ] Other  
(3) REQUIRED TEXT(S) AND COURSE MATERIALS 
Lee Ling, Dana (2013). Introduction to Statistics Using LibreOffice.org Calc, OpenOffice.org Calc, and Gnumeric, Edition 5.2, Pohnpei: College of MicronesiaFSM. Or subsequent editions. scientific calculator.  
(4) REFERENCE MATERIALS  None.  
(5) INSTRUCTIONAL COSTS  None  
(6) EVALUATION  None.  
(7) CREDIT BY EXAMINATION  None 