College of Micronesia-FSM 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 Micronesia-FSM. 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 COM-FSM signature: Date:

Official Use Only
New Course Number and Title:

College of Micronesia-FSM Course Outline: Cover Page

1) GENERAL INFORMATION:
COM-FSM addressCOM-FSM, 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, COM-FSM signature: DATE approved:

College of Micronesia-FSM 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 life-long 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 tcritical
2.3 Generate the confidence interval for the mean of a sample using the t-distribution
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 t-tests for paired and independent samples using both confidence intervals and p-values
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 ] In-class 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 Micronesia-FSM. Or subsequent editions.
scientific calculator.
(4) REFERENCE MATERIALS None.
(5) INSTRUCTIONAL COSTS None
(6) EVALUATION None.
(7) CREDIT BY EXAMINATION None