MS 150 Statistics Calendar and Syllabus • College of Micronesia-FSM • Instructor: Dana Lee Ling
Wk Day Name Date Topic Assessment
0 Friday 01/09/09 What is the proportion of red books in the library? Quiz 01
1 Monday01/12/09 Course introduction. FavColor. Coverage of term project. Syllabus, text book. • 1.1 Population and samples, types of measurement1.2 Simple random samples with introduction to OpenOffice
Wednesday01/14/09 Baby names!Localfall 2008
Ratio level of measurement
Friday01/16/09 1.3 Experimental design Quiz 2
2 Monday01/19/09 2.1 Circle and column chartsClass lists due
Wednesday01/21/09 2.2 Histograms and Frequency Distributions
Friday01/23/09 Shapes of Distributions Quiz 3 Grad apps due
3 Monday01/26/09 Statistics project note. Shape of distributions.
3.1 Measures of middle
3.2 Measures of variation
Wednesday01/28/09 3.3 Continous and Discrete variables
3.4 z-scores: measures of relative standing
4 Monday02/02/09 Review test one. Project questions and answers. Survey of possible topics under consideration.
Wednesday02/04/09 4.1 Best fit lines Drop a ball, graph the bounce height. [homework] Terminology including least squares, linear regression, trend line.
Friday02/06/09 4.2 Slope & Intercept • Predicting values Quiz 4
5 Monday02/09/09 4.3 RelationshipsEarly warning
Wednesday02/11/09 4.4 Correlation
Friday02/13/09 Quiz 5
6 Monday02/16/09 5.1 Probability: Equally likely outcomes
Wednesday02/18/09 5.2 Sample space
5.3 Probability as relative frequency
Friday02/20/09 Quiz 6
7 Monday02/23/09 Review quiz
Wednesday2/25/09 Test two: midterm t2asp08fa07f07aFirst draft statistics project due.
Friday2/27/09 Staff development day
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MS 150 Statistics Calendar and Syllabus • College of Micronesia-FSM • Instructor: Dana Lee Ling
Wk Day Name Date Topic Assessment
8 Monday3/2/09 Review midterm • 6.1 Probability distributions
Wednesday3/4/09 6.2 Mean from distribution
Friday3/6/09 Quiz 7Middefs due
9 Monday3/9/09 7.1 Distribution shape: Tossing your pennies
Wednesday3/11/09 7.2 The shape of randomness7.3 The normal curve
Friday3/13/09 Quiz 8
10 Monday3/16/09 7.4 x to area
Wednesday3/18/09 7.5 Area to x
Friday3/20/09 Quiz 9LDTWWW
11 Monday3/23/09 8.1 Distribution of Statistics8.2 Central Limit TheoremStandard error
Wednesday 3/25/09 9.1 Inference and point estimates 9.12 Introduction to confidence intervals for the mean
Friday3/27/09 Quiz 10
12 Monday3/30/09 9.2 Inferences and confidence intervals for 5 ≤ n ≤ 30; σ unknown. Also used for n ≥ 30.
Wednesday4/1/09 Founding Day
Friday4/3/09 Test three Fa08aSp08aFa07a Second draft project due. Must be submitted as word processing document.
13 Monday4/6/09 9.3 Confidence intervals for a proportion9.4 Sample Size
Wednesday4/8/09 Easter break 2009
Friday4/10/09 Good Friday
14 Monday4/13/09 10.1 Hypothesis testing using confidence intervals Course selection
Wednesday4/15/09 10.2 Hypothesis testingUS tax due day
Friday4/17/09 Quiz 11
15 Monday4/20/09 10.3 p-value
Wednesday4/22/09 11.1 Paired differences t-test: Barefoot day II
Friday4/24/09 Final report statistics project due. Quiz 12
16 Monday4/27/09 11.2 Independent samples t-test
Wednesday4/29/09 Quiz 13ans
Friday5/1/09
17 Monday5/4/09 Last day of instruction. Question & answer session
Tuesday5/5/09 MWF 8:30 Final at 8:00 Final examaSu08sSu08Fa07
Thursday5/7/09 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.
• 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