MS 150 Statistics Outline

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 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

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
3. 3.3 Communicate thoughts and ideas effectively using proper mathematical terms
Course Learning Outcomes:
1. Perform basic statistical calculations
2. Obtain results using normal and t-distributions
3. Perform linear regressions
CLO PLO 3.1 PLO 3.2 PLO 3.3

1 I,D,M I,D I,D¹

2 I,D I

3 I,D I,D,M

¹Accomplished via the statistics project report
Note that the 1:1 concept of I,D, and M letters to the number of SLOs is not conformed to by this outline.

The temporary presence of the following table is explained in a blognote on my blog.

CLO PLO 3.1 PLO 3.2 PLO 3.3

1 1.1 1.3 1.4 1.5 1.2 1.A²

2 2.1 2.2 2.3 2.4 2.5 2.1

3 3.1 3.2 3.3 3.1 3.2 3.3

²Accomplished via the statistics project report which is part of course level assessment

CLO	PLO 3.1	PLO 3.2	PLO 3.3
1	I,D,M	I,D	I,D¹
2	I,D	I
3	I,D	I,D,M

CLO	PLO 3.1	PLO 3.2	PLO 3.3
1	1.1 1.3 1.4 1.5	1.2	1.A²
2	2.1 2.2 2.3 2.4 2.5	2.1
3	3.1 3.2 3.3	3.1 3.2 3.3

Student Learning Outcomes:
CLO1 Perform basic statistical calculations

Student learning outcomes	Assessment strategies
1.1 Identify levels of measurement and appropriate statistical measures for a given level	Quizzes, tests. 60% Passing as per 2009-2011 catalog. Statistics project report.
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.

Note that the assessment could be repeated five times for each outcome so each outcome has its own individual assessment cell. If required, this can be done. I thought that the assessment repeated five times looked redundant and considered the condensation to be a matter of style and not substance. I apologize if I have erred.

CLO2 Obtain results using normal and t-distributions

Student learning outcomes	Assessment strategies
2.1 Calculate probabilities using the normal distribution	Quizzes, tests. 60% Passing as per 2009-2011 catalog
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 outcomes	Assessment strategies
3.1 Calculate the linear slope and intercept for a set of data	Quizzes, tests. 60% Passing as per 2009-2011 catalog
3.2 Calculate the correlation coefficient r
3.3 Generate predicted values based on the regression

Required text and course materials Introduction to Statistics Using OpenOffice.org Calc, Dana Lee Ling, College of Micronesia-FSM, 2010, or subsequent editions. In-class access to a computer with OpenOffice.org Calc. Recommended materials: Scientific calculator with basic statistics functionality.
Reference materials
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.
Course contents
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.
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.
Attendance policy As per the current college catalog.
Academic honesty policy As per the current college catalog.
Credit-by-examination None.

Note that the final examination is currently organized into three sections that mirror the three CLOs above. These sections well reflect underlying knowledge structures within the field of statistics.