MS 150 Statistics Calendar and Syllabus • College of Micronesia-FSM • Instructor: Dana Lee Ling
Wk Day Name Date Topic Assessment
0 Friday08/15/08 Course introduction. Coverage of term project. Prequiz
1 Monday08/18/08 Syllabus, text book. • 1.1 Population and samples, types of measurement1.2 Simple random samples with introduction to OpenOffice
Wednesday08/20/08 Barefoot day: Determining your body fat • End add course [Tues]
Friday08/22/08 1.3 Experimental design Quiz 1
2 Monday08/25/08 2.1 Circle and column chartsClass lists due
Wednesday08/27/08 2.2 Histograms and Frequency Distributions
Friday08/29/08 Shapes of Distributions Quiz 2 Grad apps due
3 Monday09/01/08 3.1 Measures of center
3.2 Measures of variation
Wednesday09/03/08 3.3 Continous and Discrete variables
3.4 z-scores: measures of relative standing
4 Monday09/08/08 Review test one. Project questions and answers. Survey of possible topics under consideration.
Wednesday09/10/08 4.1 Best fit lines Drop a ball, graph the bounce height. [homework] Terminology including least squares, linear regression, trend line.
Friday09/12/08 4.2 Slope & Intercept • Predicting values Quiz 3 • Early warning
5 Monday09/15/08 4.3 Relationship
Wednesday09/17/08 4.4 Correlation
Friday09/19/08 Quiz 4
6 Monday09/22/08 5.1 Fundamentals of probability
Wednesday09/24/08 5.2 Sample space
5.3 Probability as relative frequency
Friday09/26/08 q04 5.1q05 5.3
7 Monday09/29/08 6.1 Probability distributions
Wednesday10/01/08 6.2 Mean from distribution
Friday10/03/08 Test two: midterm t3asp08solnfa07ansods
First draft statistics project due.
MS 150 Statistics Calendar and Syllabus • College of Micronesia-FSM • Instructor: Dana Lee Ling
Wk Day Name Date Topic Assessment
8 Monday10/06/08 Review midterm
Wednesday10/08/08 7.1 Distribution shape
7.2 Pennies: The shape of randomness
Friday10/10/08 Quiz 6ods Middefs due
9 Monday10/13/08 7.3 The normal curve
Wednesday10/15/08 7.4 x to area7.5 Area to x
Friday10/17/08 Quiz 7ods LDTWWW
10 Monday10/20/08 8.1 Distribution of Statistics8.2 Central Limit TheoremStandard error
Wednesday10/22/08 Quiz
Friday10/24/08 United Nations Day
11 Monday10/27/08 9.1 Inference and point estimates 9.12 Introduction to confidence intervals for the mean
Wednesday 10/29/08 9.2 Inferences and confidence intervals for 5 ≤ n ≤ 30; σ unknown. Also used for n ≥ 30.
Friday10/31/08 Test three Sp08ansFa07ans.odsQuiz 08 (for reference only)ansods
Second draft project due. Must be submitted as word processing document.
12 Monday11/3/08 FSM Independence Day
Wednesday11/05/08 9.3 Confidence intervals for a proportion 9.4 Sample Size
Friday11/07/08 Pohnpei constitution day
13 Monday11/10/08 10.1 Hypothesis testing using confidence intervals Course selection
Wednesday11/12/08 10.2 Hypothesis testing
Friday11/14/08 q10 fish.ods
14 Monday11/17/08 10.3 p-value
Wednesday11/19/08 11.1 Paired differences t-test: Barefoot day II
Friday11/21/08 q11.ods
15 Monday11/24/08 11.2 Independent samples t-test
Wednesday11/26/08
Friday11/28/08 Final report statistics project due. q12 Calibrians
16 Monday12/01/08
Wednesday12/03/08
Friday12/05/08Last day of instruction. Question & answer session
17 Monday12/08/08 M08 Final at 8:00 Su08ansSu08solnFa07ods
Wednesday12/10/2008 M09 Final at 8:00

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 course 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 2 points and is checked at the start of the next class.
Quizzes are worth on the order of 7 to 25 points each, with an average of around 12.5 points.
Spring 2008 data:
Test one was worth 23 points.
Test two, the midterm, was worth 33 points.
Test three was worth 27 points.
The final was worth 58 points.
Spring 2008 generated 414 total points.
No one quiz, test, midterm, nor even the final will have a large impact on your final grade. You have do consistently well across all quizzes, tests and the project to succeed in this course.
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.
• Statistics project: The statistics project is a statistical study involving gathering data and assembling a report using spreadsheet and word processing software. The final report is done using word processing software with inserted tables and charts from a word processing program. The statistics project was worth 58 points spring 2008.
• 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 in brief: Students will be able to...
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