Here is a list of resources in Data Analysis and Probability including lessons and useful data sets.
The links are organized to follow the NCTM
Standards.
Data Analysis and Probability goals can be found on page 48 of the
NCTM Principles and Standards for School Mathematics.
The Data Analysis and Pobability goals can also be found on the
NCTM website
Instructional Programs from prekindergarten through grade 12 should enable all students to formulate questions that can be addressed with data and collect, organize, and displya relevant data to answer them.
| TITLE: Buffon's Needle | |
| AUTHOR: George Reese | |
| DESCRIPTION: A simulation of this problem by George Reese that finds an esitmate of pi through a random process | |
| TITLE: Exponential Fit | |
| AUTHOR: Ed Malczewsk | |
| DESCRIPTION: A lesson by that explores the process for finding the best fitting exponential curve to sets of data | |
| TITLE: The World Series Problem | |
| AUTHOR: Jay Hill | |
| DESCRIPTION: A project that aids students in an exploration of expected value |
Instructional Programs from prekindergarten through grade 12 should enable all students to select and use appropriate statistical methods to analyze data.
| TITLE: Guessing Correlations | |
| AUTHOR: John Marden | |
| DESCRIPTION: Match up scatter plots with correlation coefficients | |
| TITLE: The Hermit Problem | |
| AUTHOR: Jay Hill | |
| DESCRIPTION: Explore the concept of expected value by tracking the spread of a disease on a desert island inhabited by hermits | |
| TITLE: The Hermit Problem using a JAVA applet | |
| AUTHOR: Nicholas Exner | |
| DESCRIPTION: Explore the concept of expected value by tracking the spread of a disease on a desert island inhabited by hermits by using a JAVA simulation | |
| TITLE: Variance and Covariance | |
| AUTHOR: Ed Malczewski | |
| DESCRIPTION: Use Geometer's SketchPad to obtain a graphical introduction to variance and covariance | |
| TITLE: Good News Bears Lotto | |
| AUTHOR: Dawn Novak and James Peterson | |
| DESCRIPTION: Compare various ways to invest money and the associated risks | |
| TITLE: Descriptive Statistics (Introduction to Mode, Median, and Mean) | |
| AUTHOR:Jay Hill | |
| DESCRIPTION: Hands-on and virtual activites designed to develop the basic concepts of descriptive statistics |
Instructional Programs from prekindergarten through grade 12 should enable all students to develop and evaluate inferences and predictions that are based on data.
| TITLE: Exponential Fit | |
| AUTHOR: Ed Malczewski | |
| DESCRIPTION: A lesson that explores the process for finding the best fitting exponential curve to sets of data | |
| TITLE: Linear Regression | |
| AUTHOR: Amar Patel | |
| DESCRIPTION: Use Excel 5.0 and the internet to discover relationships between two variables |
Instructional Programs from prekindergarten through grade 12 should enable all students to understand and apply basic concepts of probability.
| TITLE: The Cereal Box Problem | |
| AUTHOR: George Reese | |
| DESCRIPTION: A lesson in expected value with an online simulation | |
| TITLE: Fun with Probability! The Probable Pen in the Cereal Box | |
| AUTHOR: Michael Cornell | |
| DESCRIPTION: A cooperative statistics/probability classroom project for grades 9-12 | |
| TITLE: Chi-Square | |
| AUTHOR: Amar Patel | |
| DESCRIPTION: An amusing lesson requiring Excel that enables students to understand statistical terms such as expectation, significance, and chi-square |
Information on the AP Stat-L Listserv where AP Statistics preparation is discussed.
To see more mathematics lessons visit our K-12 Mathematics Lessons
Authors: Louie Beuschlein and Lisa Silver
Revised by Nicole Steigerwald
Send comments to
Last Revised: 10/2/01
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