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.
• Grading policy:
  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