This morning Chuck wrote that he would like an example of someone's course using Rossman's book. I am both copying and attaching the file of mine. The file has a nicer format but can only be downloaded to Macs. With Tabs to get columns this copy form is a mess. It is basically a copy of the Table of Contents from Rossman. Hope the dates will help. The first day I am going to do the M&M's and 'splain the course. If you didn't get the M&Ms earlier, Chuck, I'll forward that on your request.
About time on one topic: Allan Rossman spends one period which is 75 minutes. Then the student comes in and spends about an hour of his own time to finish. (His class meets twice a week) I did it much more slowly last year. My students didn't have as easy an access to computers - though they will this year and I plan to move more quickly. Also I didn't have the data on disc and entry took a lot of time for new hands. (Chuck, do you have data on disc?) My class period is 45 minutes five days a week. Allan doesn't require printouts of graphs to be turned in. I did require both graphs (printouts) and answers to q's (written directly in the Rossman book) to be turned in . Students will tear out the work and turn in Topic by Topic, then store in loose leaf notebook to study later. At first I thought the student should do all class and homework activities but learned that was redundant and reduced to all classroom acts and two or three homework ones. I have a mid qtr and end of qtr test on the computer which each student takes individually - in class they work in pairs. This test-taking discourages one student from being the doer. Last year I began by having students do the first three tutorials in MiniTab Manual. Found that was repeated by Rossman so will do two tutorials or maybe one and Rossman and then the second. Need to plan more closely. The Tutorials are good but fast. I lecture sometimes - using Moore and McCabe and some stuff I worked up for my physics classes. Also hold discussions after I grade a topic - particularly at first to let them know what is important in descriptively written answers.
Here is the course outline: AP STATISTICS VIA DICKINSON WORKSHOP STATISTICS Galloway 1996-96 Instructor: Dr. Alice Hankla
Textbooks: Primary Book: Workshop Statistics by Dr. Allan J. Rossman Secondary: Introduction to the Practice of Statistics by Moore and McCabe Technology: MiniTab statistical software on the Macintosh and TI-82/83
Course Objective: The aim of the course is 1) to develop in the student the ability to collect, interpret and describe relevant statistical data and information; 2) to train the student in the use of the TI-82/83 and statistical software on the computer; and 3) to prepare students to take the Advanced Placement test, if they wish.
Teaching Strategies: The course is organized as an activity based experience with students engaged in discovering statistical concepts, exploring statistical principles, and applying statistical techniques. Students work in pairs on the Macintosh computer and in their descriptive analysis of geniune data. Discussions and a few lectures bring the class together as needed. Dickinson College's Workshop Mathematics Program supports this style of learning.
Grading: The written Workshop assignments and printouts will be graded and given both partners. Midquarter and quarter tests will be taken individually. These tests will include computer and interpretation components. The sum of the two will constitute the quarter grades. AP or not AP: A student wishing to have "AP Statistics" on his transcript must complete a major project and take the AP Exam. These requirements are maked by an asterick in the outline of topics below.
DATES TOPIC COMPLETED Sept 3 -20 Introduction to Technology TI-82/83 MiniTab: Chapter 3 - Starting and Stopping Chapter 4 - Sample Session Tutorial 1 - Working w/Data Tutorial 2 - Manipulating Data Intro to Major Project*- Chap 3.1&2: Moore&McCabe* Sept 23 - Oct16 Exploring Data: Distributions - Workshop Statistics Topic 1: Data and Variables Topic 2: Displaying and Describing Distributions Topic 3: Measures of Center Topic 4: Measures of Spread All of the Above Plots on the TI-80something Topic 5: Comparing Distributions Major Project * - Course Description page 2 Oct 21 - Nov 21 (End of Fall Quarter) Exploring Data: Relationships - Workshop Statistics Topic 6: Graphical Displays of Association Topic 7: Correlation Coefficient Moore 2.4 and Hankla notes Topic 8: Least Squares Regression I Topic 9: Least Squares Regression II* Topic 10: Relationships with Categorical Variables Major Project Update* Dec 2 - Dec 19 Randomness - Workshop Statistics Topic 11: Random Sampling Topic 12: Sampling Distributions I: Confidence Topic 13: Sampling Distributions II: Significance Jan 2 - Jan 24 (Midquarter) Randomness and Designing Experiments Topic 14: Normal Distributions Topic 15: Central Limit Theorem Topic 20: Designing Experiments Chapter 3.3: Sampling Design Moore and McCabe Major Project Work* Jan 27 - Feb 21 Inferences from Data: Principles Topic 16: Confidence Intervals I Topic 17: Confidence Intervals II - margin of error Topic 18: Tests of Significance I Topic 19: Tests of Significance II - applications All of the Above on the TI Feb 24 - Mar 4 (End of Winter Quarter) Inferences from Data: Comparisons Topic 21: Comparing Two Proportions I Topic 22: Comparing Two Proportions II Mar 17 - April 4 Chap 3.4:Toward Statistical Inference Moore&McCabe Chap 4: Sampling and Probability - Moore&McCabe Major Project Work* April 7 - 30 (Midquarter is April 25) Inferences from Data: Measurements Topic 23: Inference for a Population Mean I Topic 24: Inference for a Population Mean II Chapter 7: Moore and McCabe* Topic 25: Comparing Two Means May 1- AP Exam Preparation for AP* After AP Exam - Finalize Major Project - Presentations