MS 150 Statistics Calendar and Syllabus • College of Micronesia-FSM • Instructor: Dana Lee Ling
Wk Day Name Date Topic Assessment
0 Friday 08/14/09 What is the proportion of red books in the library? Quiz 01
1 Monday08/17/09 Course introduction. Flickr FavColor Favolor.ods
Coverage of term project. Syllabus, text book. • 1.1 Population and samples, types of measurement1.2 Simple random samples with introduction to OpenOffice
Baby names!Localfall 2008
Wednesday08/19/09 Ratio level of measurement
Friday08/21/09 1.3 Experimental design[4:00 PM Sat 22 Aug INS Half Marathon] Quiz 2
2 Monday08/24/09 2.1 Circle and column chartsClass lists due
Wednesday08/26/09 2.2 Histograms and Frequency Distributions
Friday08/28/09 Shapes of Distributions Quiz 3
3 Monday08/31/09 Statistics project note. Shape of distributions.
3.1 Measures of middle
3.2 Measures of variation Grad apps due
Wednesday09/02/09 3.3 Continous and Discrete variables
3.4 z-scores: measures of relative standing
Friday09/04/09 Test Oneods
4 Monday09/07/09 Review test one. Project questions and answers. Survey of possible project concept under consideration. • Early warning
Wednesday09/09/09 4.1 Best fit lines Drop a ball, graph the bounce height. [homework] Terminology including least squares, linear regression, trend line.
Friday09/11/09 Pohnpei Liberation Day
5 Monday09/14/09 4.2 Slope & Intercept • Predicting values
Wednesday09/16/09 4.3 Relationships4.4 Correlation
Friday09/18/09 Quiz 4
6 Monday09/21/09 5.1 Probability: Equally likely outcomes
Wednesday09/23/09 5.2 Sample space
Friday09/25/09 Quiz 5
7 Monday09/28/09 5.3 Probability as relative frequency
Wednesday09/30/09
Friday10/02/09 Test two: midtermt2 tension.ods soln
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 Monday10/05/09 Review midterm
Wednesday10/07/09 6.1 Probability distributions
Friday10/09/09 6.2 Mean from distribution Quiz 6Middefs due
9 Monday10/12/09 7.1 Distribution shape: Tossing your pennies
Wednesday10/14/09 7.2 The shape of randomness7.3 The normal curve
Friday10/16/09 Quiz 7
10 Monday10/19/09 7.4 x to area
Wednesday10/21/09 7.5 Area to x
Friday10/23/09 United Nations Day fall 2009 (observed)
11 Monday10/26/09 8.1 Distribution of Statistics8.2 Central Limit TheoremStandard error
Wednesday 10/28/09 9.1 Inference and point estimates 9.12 Introduction to confidence intervals for the mean
Friday10/30/09 Quiz 8
12 Monday11/02/09 9.2 Inferences and confidence intervals for 5 ≤ n ≤ 30; σ unknown. Also used for n ≥ 30. Course selection
Wednesday11/04/09 9.3 Confidence intervals for a proportion
Friday11/06/09 Test three Sp09Fa08aSp08aFa07a Second draft project due. Must be submitted as word processing document.
13 Monday11/09/09 Pohnpei constitution fall 2009 (observed)
Wednesday11/11/09 Veteran's day fall 2009
Friday11/13/09 Review test three • 9.4 Sample Size
14 Monday11/16/09 10.1 Hypothesis testing using confidence intervals
Wednesday11/18/09 10.2 Hypothesis testing
Friday11/20/09 Quiz 9
15 Monday11/23/09 10.3 p-value
Wednesday11/25/09 11.1 Paired differences t-test: Barefoot day II
Friday11/27/09 Final report statistics project due. Quiz 10
16 Monday11/30/09 11.2 Independent samples t-test
Wednesday12/02/09 Review quiz
Friday12/04/09
17 Monday12/07/09 Last day of instruction. Question & answer session
Tuesday12/08/09 MWF 8:30 Final at 8:00 Sp09aFa08aSu08sSu08Fa07
Wednesday12/08/09 MWF 12:30 Final at 12:10
Thursday12/10/09 MWF 9:30 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.
All absences are initially considered unexcused and counted towards the seven absence limit. Absences can be excused from the seven absence limit for medical or official education-related travel. Appropriate documentation is required such as a note from the physician (doctor) or, in the case of education-related travel, some form of written or electronic communication from official sponsors of the travel.
First days special attendance policy: Failure to attend either the first or second day of class will result in withdrawal from the course unless the student contacts the instructor during this time period. In other words, absence on both of the first two class days will result in withdrawal from the course.
• No betelnut in class nor on campus except in the cultural huts.
No spitting over the balcony!
• Quizzes and tests are given every Friday. Quizzes and tests can and do occur on a Wednesday wherein Friday is a holiday.
The number of points and their distribution vary from term to term.
Spring 2009 data:
Attendance generated 46 points (11%).
Ten homework assigned averaged 2.4 points. All homework assignments were worth 24 points. Homework is due at the start of the next statistics class.
Thirteen quizzes averaged 13.15 points. All thirteen quizzes were worth 171 points (39%).
Test one was worth 26 points (6%).
Test two, the midterm, was worth 34 points (8%).
Test three was worth 34 points (8%).
The final was worth 53 points (12%).
The statistics project, all drafts, was worth 103 points (24%).
Spring 2009 generated 435 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 will generate up to 100 points total for all drafts and final submission.
• Course outline: http://www.comfsm.fm/~dleeling/statistics/ms150_2008.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