Electronic resources: The Ohio State University EESEE project

Petra L. Graham; William I. Notz; Dennis K. Pearl; Elizabeth A. Stasny

Electronic resources: The Ohio State University EESEE project

Petra L. Graham, William I. Notz, Dennis K. Pearl, Elizabeth A. Stasny

Research output: Contribution to journal › Article › peer-review

Abstract

Electronic resources aid in the teaching and learning of statistics by providing data that may be used interactively by teachers and students. By interacting with the data students are encouraged to discover knowledge and thereby gain a deeper understanding of statistical concepts. The Electronic Encyclopedia of Statistical Examples and Exercises (EESEE) is an electronic resource that includes over 80 'real-world' examples about the uses and abuses of statistics. These examples are drawn from published and printed media and the diverse range of subject-matter areas make it suitable for use in any statistics course. Copyright

Original language	English
Pages (from-to)	85-92
Number of pages	8
Journal	Journal of Applied Mathematics and Decision Sciences
Volume	7
Issue number	2
Publication status	Published - 2003
Externally published	Yes

Keywords

Education resources
Multimedia
Statistics education
Teaching and learning statistics

Cite this

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AU - Pearl, Dennis K.

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AB - Electronic resources aid in the teaching and learning of statistics by providing data that may be used interactively by teachers and students. By interacting with the data students are encouraged to discover knowledge and thereby gain a deeper understanding of statistical concepts. The Electronic Encyclopedia of Statistical Examples and Exercises (EESEE) is an electronic resource that includes over 80 'real-world' examples about the uses and abuses of statistics. These examples are drawn from published and printed media and the diverse range of subject-matter areas make it suitable for use in any statistics course. Copyright

KW - Education resources

KW - Multimedia

KW - Statistics education

KW - Teaching and learning statistics

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JO - Journal of Applied Mathematics and Decision Sciences

JF - Journal of Applied Mathematics and Decision Sciences

IS - 2

ER -

Electronic resources: The Ohio State University EESEE project

Abstract

Keywords

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