text

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 |

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. | ||||

http://www.comfsm.fm/~dleeling/statistics/ms150_2008.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. | ||||

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: |
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Define mathematical concepts, calculate quantities, estimate solutions, solve problems, represent and interpret mathematical information graphically, and communicate mathematical thoughts and ideas. | ||||

Course Learning Outcomes: |
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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 |