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Understanding Significance Testing
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Understanding Significance Testing

  • Lawrence B. Mohr - University of Michigan, Ann Arbor, Center for the Improvement of Early Reading Achievement
Volume: 73
80 pages | SAGE Publications, Inc
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Significance testing - a core technique in statistics for hypothesis testing - is introduced in this volume. Mohr first reviews what is meant by sampling and probability distributions and then examines in-depth normal and t-tests of significance. The uses and misuses of significance testing are also explored.
 
Introduction
 
Some Definitions
 
The Sampling Distribution
 
Interval Estimation
 
Significance Testing
 
The Functions of the Test

Lawrence B. Mohr

Professor Mohr is currently working on a theoretical paper in program evaluation called An Exploration in the Theory of Valuing and a research monograph called The Impacts of Sponsored Research Dollars on Academic Institutions. The next project will be an edited volume with critique called The Case Study As a Research Design in Social Science. More About Author

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