Attendance:
Seven absences can result in withdrawal from the course.
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 communication from official sponsors of the travel.
Health:No betelnut in class. No spitting over the balcony!
Grading policy:
Points are earned for correct answers on homework, quizzes, and tests.
You have do consistently well across all quizzes and tests 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.
Academic Honesty Policy: Cheating on an assignment, quiz, test, midterm, or final will result in a score of zero for that assignment, quiz, or test.
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:
3.1 Demonstrate understanding and apply mathematical concepts in problem solving and in day to day activities
3.2 Present and interpret numeric information in graphic forms Course Learning Outcomes:
Perform basic statistical calculations:
1.1 Identify levels of measurement and appropriate statistical measures for a given level of measurement.
1.2 Determine frequencies and relative frequencies, create histograms and identify their shape visually.
1.3 Calculate basic statistical measures of the middle, spread, and relative standing.
1.4 Calculate simple probabilities for equally likely outcomes.
1.5 Determine the mean of a distribution.
_._ Calculate first through fourth quartile values, sketch boxplot.
Obtain results using t-distributions
2
2.2 Calculate the standard error of the mean
2.3 Find confidence intervals for the mean
2.4 Perform hypothesis tests against a known population mean using both confidence intervals and formal hypothesis testing
2.5 Perform t-tests for paired and independent samples using both confidence intervals and p-values
Perform linear regressions
3.1 Calculate the linear slope and intercept for a set of data
3.2 Calculate the correlation coefficient r
3.3 Generate predicted values based on the regression