Part 2: Exploring Relationships Between Variables

 

1.      Time Frame: ~23 days

2.      Structure:

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

b)      Spaces Large group presentation space, small group work

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

 

3.      Text Reading and Assignments:

 

Assigned Reading

Quiz

In class  Problem

Class Discussion

Written Assignment

10/9-10/11

 

Quiz 10/15

Ch 7 Scatter plots, Association, and Correlation

 

Spanish Explorers Data

Video 11 Scatterplots

Video 13 Correlation

Correlation Game

 

P. 160 2,4,5,6,8,9,11,12,13

15,17,18,20,26,31,33,36

WS Corr, Reg and Prep

 

10/12/07

Sub Day

Ch 8 Linear Regression

Video 9 Straight Line growth

Video 12 Fitting Lines to

P. 189 1-4

WS Corr, Reg and Prep

 

10/15-22/07

Test 10/23/07

 

Ch 8 Linear Regression

Data

Fathom Activity

Mini Tab

WS Distance and Ticket price

Inv Task – Smoking

P. 189  5, 6-24 even, 27,29,34,36,38,45,48

 

10/24-31/07

Quiz 10/31

Ch 9 Regression Wisdom

Fathom Activity

Inv Task Olympic Long Jumps

P. 213   2-12 even, 15,17,19,22,23,24,25

 

11/1-8/13/07

Quiz 11/8

Ch 10 Re-Expressing Data

Video 10 Exponential growth

Fathom Activity

P. 1,2,3,4,5-15odd,25,19

WS Models

Inv Task Alligators

 

 

11/9-12/07

Review

 

 

 

11/13/07

Part 2 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.      Three Quiz

2.      Regression Test

3.      Part 1 Test

4.      AP Question Practice

5.      Notebook check for class work, assignments

6.      Full participation

7.      Student will demonstrate his/her understanding of two variable quantitative data. The understanding will include association, correlation, explanatory and response variables, scatter plots, line of best fit, residuals, slope, R2, outliers, influential points, re-expressing data using logs, exponentials, or power functions. The student will also understand the difference between association and causation.