Sheet 1: s82

wk day wkdy Date Topic Fridays
1 1 Mon 06/02/08 Red book 1.1 Introduction 1.2 Simple random samples 1.3 Experimental design
1 2 Tues 06/03/08 Favorite color Barefoot day: Determining your body fat Pedometers Statistics project Last day to add a course
1 3 Wed 06/04/08 2.1 Circle and column charts 2.2 Distributions and histograms
1 4 Thurs 06/05/08 2.3 Shapes of distributions Grad apps due Test one
2 6 Mon 06/09/08 3.1 Measures of middle
2 7 Tues 06/10/08 3.2 Measures of spread 3.3 Variables and their interaction with measures
2 8 Wed 06/11/08 3.4 Measures of relative standing
2 9 Thurs 06/12/08 4.1 Regression. Ball drop option. 4.2 Slope and intercept Test two
3 11 Mon 06/16/08 4.3 Correlation
3 12 Tues 06/17/08 5 Probability
3 13 Wed 06/18/08 6.1 Probability distributions 6.2 Mean from distribution
3 14 Thurs 06/19/08 Midterm Midbreak
4 16 Mon 06/23/08 7.1 Normal distribution 7.2 Pennies!
4 17 Tues 06/24/08 7.3 Normal distribution 7.4 x to area
4 18 Wed 06/25/08 7.5 area to x
4 19 Thurs 06/26/08 8.1 Distribution of statistics 8.2 Central limit theorem Middefs due Test three
5 21 Mon 06/30/08 9.1 Inferences 9.12 Introduction to confidence intervals
5 22 Tues 07/01/08 9.2 Confidence intervals n > 5
5 23 Wed 07/02/08 9.3 Estimating a population proportion
5 24 Thurs 07/03/08 10.1 Hypothesis testing using confidence intervals Test four
6 26 Mon 07/07/08 10.2 Hypothesis testing
6 27 Tues 07/08/08 10.3 p-value
6 28 Wed 07/09/08 10.5 Hypothesis test for a proportion
6 29 Thurs 07/10/08 11.1 Paired t-test Test five
7 31 Mon 07/14/08 11.3 t-test for independent samples
7 32 Tues 07/15/08 Last day of instruction
7 33 Thurs 07/17/08 Final at 8:30

Sheet 2: text

Do not alter the desktop settings, the screensaver, change color schemes, nor add nor delete panels to the computer desktop!
Required Textbook: Introduction to Statistics Using OpenOffice.org Calc
Statistics office hours: TBA. Instructor: Dana Lee Ling.
Email: dleeling@comfsm.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 about 200 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 on the outline.
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.
Course Description: A semester course designed as an introduction to the basic ideas of data presentation, descriptive statistics, linear regression, and inferential statistics including confidence intervals and hypothesis testing. Basic concepts are studied using applications from education, business, social science, and the natural sciences. The course incorporates the use of a computer spreadsheet package for both data analysis and presentation. The course is intended to be taught in a computer laboratory environment.
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