StatsMonkey.

 
 

This page includes packets, handouts, worksheets, etc. related to best practice activities from various teachers.  If you have a project, activity, worksheet, reading guide, etc that you’d like to offer to other AP Stats teachers, please email it to me at:  statsmonkey@mac.com


All activities will be posted with credit given to their original author and sorted by topic/text.  If you would like to contribute, please email your activity!

 

Helpful Websites

FAQ - Jared Derksen -  http://www.mrmathman.com/faq/

Statistical Literacy - Statlit.org



General Course Materials

Popular Textbook Resources TextbookResources.pdf - Daren Starnes

Against All Odds Worksheets  Worksheets.doc  -  Pat Gabriel


Recruitment Materials

Flyer--Stat Recruiting.pub (MS Publisher) Recruiting_DM.pdf (pdf)- Deanna McDonald

FAQ.doc - David Bock

Recruitment Brochure 2009.doc - Randy Bailey

Brochure_BBN.doc - Poster_BBN.doc - Al Coons (also available at his site)

StatsBrochure.doc - Shari Ford

HOW DO I CHOOSE A MATH CLASS TO FOLLW ALGEBRA 2.pdf - Dori Peterson


Calculator Help

TI-83 Tips for Stats.pdf  - Deanna McDonald

TI-89 Tips for Stats.pdf  - Deanna McDonald


TPS RESOURCESTPS3e.html

AP STATS RESOURCES

AP EXAM INFOAP_Review.html
FRAPPY!FRAPPYs.html
MISCQuotes.html
AP READINGReadInfo.html

ABOUT

HOMEStatsmonkey.html

AP Statistics Teacher Resources

AP Statistics Resources

Descriptive StatisticsDescriptive_Statistics.html
Probability/Sampling DistProbability.html
InferenceInference.html
Producing DataProducing_Data.html

Course Information:



The purpose of Advanced Placement Statistics is to introduce students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Students are exposed to four broad conceptual themes:

  1. Exploring Data: Observing patterns and departures from patterns

  2. Planning a Study: Deciding what and how to measure

  3. Anticipating Patterns: Producing models using probability and simulation

  4. Statistical Inference: Estimating parameters and testing hypotheses

 
SMART LessonsSMART_Lessons.html
Online ResourcesOnline_Resources.html