MS 150 Statistics Calendar and Syllabus • College of Micronesia-FSM • Instructor: Dana Lee Ling
Wk Day Name Date Topic Assessment
0 Friday8/17/7 Prequiz
1 Monday8/20/7 Syllabus, text book. • 1.1 Population and samples, types of measurement1.2 Simple random samples with introduction to OpenOffice
Wednesday8/22/7 Barefoot day: Determining your body fat • End add course [Tues]
Friday8/24/7 1.3 Expermental design Quiz 1
2 Monday8/27/7 2.1 Circle and column chartsClass lists due
Wednesday8/29/7 2.2 Histograms and Frequency Distributions
Friday8/31/7 Quiz 2Grad apps due
3 Monday9/3/7 Shapes of Distributions3.1 Measures of center
Wednesday9/5/7 3.2 Measures of variation3.3 Continous and Discrete variables3.4 Measures of relative standing: z only
4 Monday9/10/7 4.1 Best fit lines Drop a ball, graph the bounce height. Terminology including least squares, linear regression, trend line.
Wednesday9/12/7 4.2 Slope & Intercept • Predicting values
Friday9/14/7 Quiz 3 • Early warning
5 Monday9/17/7 4.3 Relationship
Wednesday9/19/7 4.4 Correlation
Friday9/21/7 Quiz 4
6 Monday9/24/7 5.1 Fundamentals of probability
Wednesday9/29/7 6 Random variables
Friday9/28/7 Mean from distribution Quiz 5
7 Monday10/1/7 7.1 Distribution shape
Wednesday10/3/7 7.2 Pennies: The shape of randomness
Friday10/5/7 Midterm spring 2007ansods
8 Monday10/8/7 Review midterm
Wednesday10/10/7 7.3 x to area
Friday10/12/7 Quiz 6ods Middefs due
9 Monday10/15/7 Area to x
Wednesday10/17/7 8.1 Distribution of Statistics
Friday10/19/7 Quiz 7ods
Wk Day Name Date Topic Assess
10 Monday10/22/7 8.2 Central Limit TheoremStandard error
Wednesday10/24/7 United Nations Day
Friday10/26/7 Quiz 08ansods LWWW
11 Monday10/29/7 9.1 Inferences and confidence intervals for n ≥ 30; σ known 9.2 Inferences and confidence intervals for 5 ≤ n ≤ 30; σ unknown. Also used for n ≥ 30.
Wednesday10/31/7 Test Twot2at2.ods
Friday11/2/7 FSM Independence Day (Observed)
12 Monday11/5/7 9.3 Confidence intervals for a proportionCourse selection
Wednesday11/7/7 10.1 Hypothesis testing using confidence intervals
Friday11/9/7 Quiz 9 10.1
13 Monday11/12/7 Veteran's Day [observed]
Wednesday11/14/7 10.2 Hypothesis testing
Friday11/16/7Quiz 10
14 Monday11/19/7 10.3 p-value
Wednesday11/21/7 11.1 Paired differences t-test: Barefoot day II
Friday11/22/7 Quiz 11
15 Monday11/26/7 11.2 Independent samples t-test
Wednesday11/28/7
Friday11/30/7 Quiz 12ans
16 Monday12/3/7
Wednesday12/5/7
Friday12/7/7 Last day of instruction. Question & Answer session
17 Monday12/10/7
Tuesday12/11/7 M09 Final at 10:05 • fxodsxlspdf
Wednesday12/12/7 M08 Final at 8:00 • fxods

Do not alter the desktop settings, the screensaver, change color schemes, nor add nor delete panels to the computer desktop!

• Textbook: Introduction to Statistics Using OpenOffice.org Calc
• Recommended materials: Scientific calculator.
• Statistics office hours:TBA.
Instructor: Dana Lee Ling.
Email: dleeling@comfsm.fm cc: dana@mail.fm
Web site: http://www.comfsm.fm/~dleeling/statistics/statistics.html
Work: 320-2480 extension 228 / Home phone: 320-2962.
• Attendance: Seven absences results in withdrawal from the course. A late is one third of an absence. Thus any combination of absences and lates that adds to seven will result in withdrawal. For example, twenty-one lates would result in withdrawal.
• No betelnut in class nor on campus except in the cultural huts.
No spitting over the balcony!
• Quizzes are given every Friday that there is not a test. Quizzes and tests can and do occur on a Wednesday wherein Friday is a holiday.
Homework is worth 1 to 3 points.
Quizzes are worth on the order of 5 to 10 points each. Tests are worth on the order of 20 points. The midterm is worth roughly 40 points. The final is worth up to roughly 60 points.
The term as a whole will generate some 200 plus points.
Grading is based on the standard College policy: Obtain 90% of the points or more to obtain an A, 80% to 89% for a B, and so forth.
Points map to student learning outcomes via questions on publicly published quizzes, tests, and examinations wherein each question can be linked back to a course or program learning outcome.
• Course outline: http://www.comfsm.fm/~dleeling/statistics/ms150_2007.html
• Academic Honesty Policy: Cheating on an assignment, quiz, test, midterm, or final will result in a score of zero for that assignment, quiz, or examination. Due to our cramped quarters, the course operates by necessity on a system of personal integrity and honor.
• Course student learning outcomes assessment: Based on item analysis of final examination aligned to the outline. During term student assessment occurs at the end of each week, see above.
• 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. Calculate basic statistics
2. Represent data sets using charts and histograms
3. Solve problems using normal curve and t-statistic distributions including confidence intervals for means and hypothesis testing
4. Determine and interpret p-values
5. Perform a linear regression and make inferences based on the results