Part 1: Exploring and Understanding Data

1. Time Frame: ~25 days

2. Structure: a)Teams Students will work in teams of four for assignments and in pairs for projects.

a) Spaces Large group presentation space, small group work

b) Equipment TI 83/84, Minitab, ActiviStat, Fathom

3. Text Reading and Assignments:

	Assigned Reading	Quiz In class  Problem Class Discussion	Assignment
Summer	How to Lie With Statistics
9/4/07	M&M Video – What is Statistics Class Survey	What can you learn about a pack of M&M?	*Write-up of M&M activity due 9/10/07 *One really good Question for our class survey.
9/5-7/07	Westvaco Study Ch 1 p. 2  Stat Starts Here		Chapter 1 page 2-6
9/10/07	Ch 2 p. 7 Data	Survey	Book covers due (10 points) P. 17
9/11-13/07	Ch 3 p. 20 Displaying and Describing Data	Ch 2 Quiz	P. 36 5,7,11,13,15,,23,24,27,31,39
9/14-19/07	Ch 4 p. 45 Displaying Quantitative Data Video – Stemplots Video – Histograms and Distributiion	Ch 3 Quiz	p.64 3-13 odd,18,20 33,-36,38
9/20-26/07	Ch 5 p. Exploring an Understanding Data Video – Measures of Center Video – Boxplots Video – The Standard Deviation	Ch 4 Quiz	p.90 13-25 odd, 35,36
9/27- 10/4/07	Ch 6 p. 102 The Standard Deviation as a Ruler	Ch 5 Quiz Salt Activity	p. 123 2-9 all 17-24 all 29-39 odd
10/5/07	Review	Ch 6 Quiz	p.131 3-39 multiples of 3
10/8/07	Review		AP Practice Question
10/9/07	Part 1 Test

1/3 Individual: Review assignments

1/3 Small group: Assignments, including review and practice tests

1/3 Large group: Presentation of lesson, Introduction to concepts, Calculator and Computer lessons

Assessment/Deliverables:

1. Five Quiz                                                                       2.  Part 1 Test

3.     AP Question Practice                                  4.  M&M Write-up

5.     Westvaco Packet                                                         6.  Notebook check for class work, assignments

7.     How to Lie With Statistics                                         8.  Full participation

9.     Student will demonstrate his/her understanding Data Analysis of categorical and quantitative data including.  For categorical data, the student will use bar graphs, pie charts, segmented bar graphs, summary distribution with relative frequency or counts, and look for associations between variables by comparing marginal and conditional distributions. For quantitative data, the student will use histograms, box plots, stem-and-leaf displays or dot plots to examine data and describe the distribution in terms of center shape and spread plus usual features. The student will use Fathom, Mini Tab and the TI 84 to work with one variable and two variable statistics.