Charter schools have become a widely used alternative to traditional public schools, both nationally and in the Regional Educational Laboratory (REL) Southeast Region. They play an increasingly important role in state reform efforts. South Carolina stakeholders--including the South Carolina Department of Education, the Public Charter School…

In joint partnership, Achieve, The Council of Chief State School Officers, and Student Achievement Partners have developed a Toolkit for Evaluating the Alignment of Instructional and Assessment Materials to the Common Core State Standards. The Toolkit is a set of interrelated, freely available instruments for evaluating alignment to the CCSS; each…

In joint partnership, Achieve, The Council of Chief State School Officers, and Student Achievement Partners have developed a Toolkit for Evaluating the Alignment of Instructional and Assessment Materials to the Common Core State Standards (CCSS). The Toolkit is a set of interrelated, freely available instruments for evaluating alignment to the…

Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least…

Presents an experiment to test the statistical hypothesis that Oreo Double Stuf cookies contain twice as much filling as traditional Oreo cookies. (ASK)

Statistics tend to become interesting to non-methodologists when taught in a research context that is relevant to them. Real data sets supplemented by sufficient background information can provide just such a context. Despite this, many textbook authors and instructors of applied statistics rely on artificial data sets to illustrate statistical…

Discusses the use of computers in teaching these courses at the Eindhoven University of Technology: (1) regression analysis; (2) generalized linear models; and (3) multivariate statistical methods. Students also use the computer for their final studies for validating statistical tests. (JN)

The ability to undertake approximate calculations and to get a rough feel for data is an important skill which should not be overlooked. Presents some ideas for teaching and assessing approximate calculation. Contains 13 references. (Author/ASK)

Discusses experiences in elementary statistics that involve describing data by measures of central tendency and dispersion and that are appropriate for students in secondary schools. Includes background information, instructional strategies, procedures, and a ready-to-duplicate student worksheet. (JN)

The concept of confidence intervals is difficult for students to grasp. Describes an activity that helps students understand what it means to have confidence in a process. (Author/ASK)

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)

Describes a practical classroom activity for sorting lists of numbers to lead to statistical analysis. (Author/ASK)

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)

An example of real-world data is used to introduce comprehensible and visual images of the data and their attributes and relationships. Stem-and-leaf plots, box-and-whisker plots, and scattergrams are used to encourage prompt recognition of data characteristics and to effect appropriate interpretations and inferences. (JJK)

Discusses how nonparametric statistical procedures can be applied to the scoring of cross-country running races. Asserts that this type of example in statistics is appropriate for the upper-secondary school and lower-division college levels. (MDH)