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In its ancient usage, hypothesis referred to a summary of the plot of a classical drama.The English word hypothesis comes from the ancient Greek word ὑπόθεσις (hypothesis), whose literal or etymological sense is "putting or placing under" and hence in extended use has many other meanings including "supposition".
Stephen Krashen argues that the basic problem with all output hypotheses is that output is rare, and comprehensible output is even rarer. Even when the language acquirer does speak, they rarely make the types of adjustments that the CO hypothesis claims are useful and necessary to acquire new forms. [4]
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In scientific research, the null hypothesis (often denoted H 0) [1] is the claim that the effect being studied does not exist. [note 1] The null hypothesis can also be described as the hypothesis in which no relationship exists between two sets of data or variables being analyzed.
The Hosmer–Lemeshow test is a statistical test for goodness of fit and calibration for logistic regression models. It is used frequently in risk prediction models. The test assesses whether or not the observed event rates match expected event rates in subgroups of the model population.
The Ljung–Box test (named for Greta M. Ljung and George E. P. Box) is a type of statistical test of whether any of a group of autocorrelations of a time series are different from zero.
The simulation hypothesis proposes that what we experience as the world is actually a simulated reality, such as a computer simulation in which we ourselves are constructs.
The Kaiser–Meyer–Olkin (KMO) test is a statistical measure to determine how suited data is for factor analysis.The test measures sampling adequacy for each variable in the model and the complete model.