# An In-Class Experiment to Estimate Binomial Probabilities

### This activity has been undergone anonymous peer review.

This activity was anonymously reviewed by educators with appropriate statistics background according to the CAUSE review criteria for its pedagogic collection.

This page first made public: May 17, 2007

This material was originally developed through CAUSE

as part of its collaboration with the SERC Pedagogic Service.

#### Summary

This hands-on activity is appropriate for a lab or discussion section for an introductory statistics class, with 8 to 40 students. Each student performs a binomial experiment and computes a confidence interval for the true binomial probability. Teams of four students combine their results into one confidence interval, then the entire class combines results into one confidence interval. Results are displayed graphically on an overhead transparency, much like confidence intervals would be displayed in a meta-analysis. Results are discussed and generalized to larger issues about estimating binomial proportions/probabilities.

## Learning Goals

## Context for Use

## Description and Teaching Materials

- Intervals based on n = 100 have different centers but are all about the same width. (Note that if you use something with a true p reasonably close to .5, the half-width of the intervals will be about 0.1.)
- Intervals based on n = 400 have different centers, but are all about the same width and are half as wide as those with n = 100.
- The interval based on the entire class is narrow and provides a more accurate estimate of p than the individual intervals.
- The larger your sample size, the more accurately you can estimate a parameter.

There are three files to download. Two of them are provided in pdf and Word format. The pdf file is provided to make sure users can see the correct page layout. The Word files are provided so that users can modify the files. The first file contains detailed instructions for the teacher, including logistical issues and discussion questions. The second file is to be handed out to each team, with instructions for the students and spaces to record their results. The third file is the grid for recording the results, which should be printed onto an overhead transparency.

Instructions

**for the Instructor:**

Instructor Instructions as pdf file (Acrobat (PDF) 115kB May17 07) Instructor Instructions as Word file (Microsoft Word 46kB May17 07)

Team Record Sheet

**to be handed out to students:**

Student Team Record Sheet as pdf file (Acrobat (PDF) 74kB May17 07) Student Team Record Sheet as Word file (Microsoft Word 34kB May17 07)

**Grid**for overhead transparency

**to record results:**

Grid for Overhead transparency (Microsoft Word 124kB May3 07)

The activity as described uses "animal eyes." These are plastic pieces used to glue onto a stuffed animal, which have a flat side and a curved side that looks like an eye. They can be purchased in a craft shop or online (type "animal eyes craft" into a search engine). The goal is to have a binomial situation for which the success probability is unknown. The animal eyes can be flipped and a "success" is that the eye lands looking up. You could use a different binomial experiment, such as estimating the proportion of one color in a multi-colored candy. The important criteria are that the experiment mimics a binomial setting, that each student can get an individual result with n = 100 trials, and that it makes sense to combine the results across students.

## Teaching Notes and Tips

The hardest part of this activity is reconvening the class when they have completed the experiment, and holding a discussion about the process and concepts. One possibility is to have students discuss the relevant questions in their teams, then report back to the class.

## Assessment

## References and Resources

*Activity-Based Statistics*Richard L. Scheaffer, Mrudulla Gnanadesikan, Ann E. Watkins, and Jeffrey Witmer, Revised by Tim Erickson, Key Curriculum Press.*Workshop Statistics: Discovery with Data, 2nd Edition*, Allan J. Rossman and Beth L. Chance, Key Curriculum Press*Mind On Statistics*(2006), Jessica Utts and Robert Heckard, Duxbury/Brooks-Cole