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Pruzek, Robert M.; Helmreich, James E. – Journal of Statistics Education, 2009
A standard topic in many Introductory Statistics courses is the analysis of dependent samples. A simple graphical approach that is particularly relevant to dependent sample comparisons is presented, illustrated and discussed in the context of analyzing five real data sets. Each data set to be presented has been published in a textbook, usually…
Descriptors: Statistics, Introductory Courses, Sampling, Data Analysis
Shaughnessy, Michael – National Council of Teachers of Mathematics, 2008
Until recently, much of the research on students' understanding of statistical ideas has focused on their conceptions of center or on what constitutes a good sample. In the past decade research on students' statistical thinking has broadened and increasing interest has been paid to how students think about variability in data or variability in…
Descriptors: Statistics, Statistical Data, Data Interpretation, Sampling
Strasser, Nora – Journal of College Teaching & Learning, 2007
Avoiding statistical mistakes is important for educators at all levels. Basic concepts will help you to avoid making mistakes using statistics and to look at data with a critical eye. Statistical data is used at educational institutions for many purposes. It can be used to support budget requests, changes in educational philosophy, changes to…
Descriptors: Statistics, Statistical Data, Validity, Data Interpretation

Barbella, Peter; And Others – Mathematics Teacher, 1990
Demonstrates a statistically valid method allowing students to explore randomization. Described are two examples: counting techniques for a small set of data and simulation for a large sample. (YP)
Descriptors: Data Analysis, Data Interpretation, Mathematical Concepts, Mathematical Logic
Hafner, Arthur W. – 1998
A thorough understanding of the uses and applications of statistical techniques is integral in gaining support for library funding or new initiatives. This resource is designed to help practitioners develop and manipulate descriptive statistical information in evaluating library services, tracking and controlling limited resources, and analyzing…
Descriptors: Correlation, Data Interpretation, Libraries, Library Education