Describes a laboratory experiment dissolving zinc from galvanized nails in which data can be gathered very quickly for statistical analysis. The data have sufficient significant figures and the experiment yields a nice distribution of random errors. Freshman students can gain an appreciation of the relationships between random error, number of…

Exploratory data analysis (EDA) gives students a feel for the data being considered. Four applications of EDA are discussed: the use of displays, resistant statistics, transformations, and smoothing. (RM)

Presented are two examples including data sets for which calculating various elementary statistics will reveal something new about the data. The objective of these examples is to show the student what various statistics may reveal, or not reveal, about a given data set. (PK)

Described are teaching methods used to teach measures of central tendency to middle and high school students. Discussed are quantitative and qualitative data, basic experimental terms, a general overview of data analysis, data charts for quantitative data, qualitative data analysis, and extensions for older students. (CW)

This set of activity sheets requires students to organize and display data with a box-and-whiskers graph. Students use the plot as a summary display to detect patterns and to highlight the important features of the data for purposes of comparison. (PK)

Uses a graphing calculator to predict the record for running a mile, throwing a shot put, and high jumping for any year in the future and the probable record for any year before statistics were kept, based on the statistical analysis of prior records. Data tables and a computer program are provided. (MDH)

Outlines the simple exercise of measuring the length of an object as a concrete paradigm of the entire process of making chemical measurements and treating the resulting data. Discusses the procedure, significant figures, measurement error, spurious data, rejection of results, precision and accuracy, and student responses. (TW)

This trainer's guide is intended to assist supervisors of work-based career training projects in helping students learn how to obtain, analyze, record, and present statistical information, specifically, information related to people's failing to turn up for court appointments. The guide is one in a series of core curriculum modules that is…

This module for a 1-semester Total Quality Management (TQM) course for high school or community college students gives a brief introduction to some statistical tools. It includes a section on process variation that is intended to familiarize students with the causes of variation such as common and special causes. Statistical definitions are given…