Nonlinear Modeling: Something Fishy
In this lesson by Douglas Whitaker, students explore nonlinear regression models to explain fish weight by using fish length. They will use both transformation of the response variable and polynomial regression.
Mar 29
In this lesson by Douglas Whitaker, students explore nonlinear regression models to explain fish weight by using fish length. They will use both transformation of the response variable and polynomial regression.
Nov 12
In this lesson, each student tries two methods for selecting a sample from the population of words in the Gettysburg Address: self-selection and simple random sampling.
Nov 12
In this lesson from Christine Franklin, Gary Kader, Tim Jacobbe, and Kaycie Maddox, students investigate how to interpret the mean using fair share value and the balance point of a distribution.
Apr 3
In this module, students will develop, analyze, and redesign population projection models using past and present population totals by age groups to estimate future population estimates of various countries.
Mar 25
At a time when nothing good can be said about COVID-19, Sara Brown, Patrick Hopfensperger, and Henry Kranendonk—authors of Focus on Statistics: Investigations for the Integration of Statistics into Grades 9–12 Mathematics Classrooms—have made available for free an investigation that can at least help students understand how the virus spreads.
Mar 25
In this module, students will develop, analyze, and redesign population projection models using past and present population totals by age groups to estimate future population estimates of various countries.
Sep 19
In this lesson, students will read about the Flint water crisis, examine data sets, do computations, create dot plots, and write a report tying it all together.
Sep 12
This activity, based on real meetings during the 1954 Salk polio vaccine study, asks students to decide on an experimental design to test the polio vaccine.
Jan 2
This investigation is based on one found in the Appendix for Level A in Guidelines for Assessment and Instruction in Statistics Education (GAISE): A Pre-K–12 Curriculum Framework and is aimed at sixth graders.
Linen Theme by The Theme Foundry
Copyright © 2024 American Statistical Association. All rights reserved.