Test
Hypothesis testing is a formal procedure often employed in scientific research to test theories or models. To formulate such a test, usually some theory has been put forward, either because it is believed to be true or because it is to be used as a basis for argument, but it has not been proved yet. In effect, the researcher bets in advance of the experiment that the results will agree with his or her theory and cannot be accounted for by the chance variations that are involved in the sampling. Nowadays, there are at least four different schools of thought on the inferential significance testing: Fisherian, Neyman–Pearson, Bayesian, and likelihood inference. It would be fair to argue that none of these inferential statistical methods is ...
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Reader's Guide
Descriptive Statistics
Distributions
Graphical Displays of Data
Hypothesis Testing
Important Publications
Inferential Statistics
Item Response Theory
Mathematical Concepts
Measurement Concepts
Organizations
Publishing
Qualitative Research
Reliability of Scores
Research Design Concepts
Research Designs
Research Ethics
Research Process
Research Validity Issues
Sampling
Scaling
Software Applications
Statistical Assumptions
Statistical Concepts
Statistical Procedures
Statistical Tests
Theories, Laws, and Principles
Types of Variables
Validity of Scores
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