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.
Grading policy:
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.
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...
Program Learning Outcomes:
Define mathematical concepts, calculate quantities, estimate solutions,
solve problems, represent and interpret mathematical information graphically,
and communicate mathematical thoughts and ideas.
Course Learning Outcomes:
Identify levels of measurement and appropriate statistical measures for a given level
Determine frequencies, relative frequencies, creating histograms
and identifying their shape visually
Calculate basic statistical measures of the middle, spread, and relative standing
Perform linear regressions finding the slope, intercept, and correlation;
generate predicted values based on the regression
Calculate simple probabilities for equally likely outcomes
Determine the mean of a distribution
Calculate probabilities using the normal distribution
Calculate the standard error of the mean
Find confidence intervals for the mean
Perform hypothesis tests against a known population mean
using both confidence intervals and formal hypothesis testing
Perform t-tests for paired and independent samples using both confidence intervals and p-values