### College of Micronesia-FSM

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

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 Hours Divisor Semester Credits Total Semester Credits Lecture 3 × 16 = 48 /16 = 3 = 3

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

```Divisors
Lecture:    /16  Lect/Lab:    /16  Co-op education /30 Workshop: /48   Practicum: /48
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

#### Signatures

Chairperson, Curriculum Committee: ________________________ Date: _______________

President, COM-FSM: ________________________ Date: _________________

Appendix B
College of Micronesia-FSM

##### Course Outline Format
1. Learning Outcomes
1. Program Learning Outcomes:
Define mathematical concepts, calculate quantities, estimate solutions, solve problems, represent and interpret mathematical information graphically, and communicate mathematical thoughts and ideas.
2. Course Learning Outcomes:
1. Identify levels of measurement and appropriate statistical measures for a given level
2. Determine frequencies, relative frequencies, creating histograms and identifying their shape visually
3. Calculate basic statistical measures of the middle, spread, and relative standing
4. Perform linear regressions finding the slope, intercept, and correlation; generate predicted values based on the regression
5. Calculate simple probabilities for equally likely outcomes
6. Determine the mean of a distribution
7. Calculate probabilities using the normal distribution
8. Calculate the standard error of the mean
9. Find confidence intervals for the mean
10. Perform hypothesis tests against a known population mean using both confidence intervals and formal hypothesis testing
11. Perform t-tests for paired and independent samples using both confidence intervals and p-values
2. Course contents:
3. Textbook: Introduction to Statistics Using OpenOffice.org Calc, Dana Lee Ling, College of Micronesia-FSM, 2007, or subsequent editions.
4. Reference materials:
Data Analysis with Microsoft Excel. Berk and Carey, Duxbury Press, 1998
5. Required course materials: In-class access to a computer with OpenOffice.org Calc. Recommended materials: Scientific calculator with basic statistics functionality.
6. Instructional materials/equipment and cost for the college:
Large screen computer display technology that can viewed with the lights on, routine classroom supplies. Preferably availability of OpenOffice.org Calc software on student accessible computers on campus.
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. 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.
9. Credit-by-examination: None.
10. Attendance policy: As per the current college catalog.
11. Academic honesty policy: As per the current college catalog.