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The statement that is being tested against the null hypothesis is the alternative hypothesis. [2] Alternative hypothesis is often denoted as H a or H 1. In statistical hypothesis testing, to prove the alternative hypothesis is true, it should be shown that the data is contradictory to the null hypothesis. Namely, there is sufficient evidence ...
Occasionally, such arguments can be confusing to some people, who perceive a self-contradiction or lack of honesty. [1] Generally speaking, this is a case of mistakenly thinking the argument claims both alternatives are true, when in reality it is claiming only that one or the other of them must be. But arguing in the alternative certainly ...
Frankfurt's examples are significant because they suggest an alternative way to defend the compatibility of moral responsibility and determinism, in particular by rejecting the first premise of the argument. According to this view, responsibility is compatible with determinism because responsibility does not require the freedom to do otherwise.
An alternative approach is to examine information criteria such as the Akaike information criterion, Bayesian information criterion or the Hannan–Quinn information criterion. The unit root test is then carried out under the null hypothesis γ = 0 {\displaystyle \gamma =0} against the alternative hypothesis of γ < 0. {\displaystyle \gamma <0.}
The process discourages the analyst from choosing one "likely" hypothesis and using evidence to prove its accuracy. Cognitive bias is minimized when all possible hypotheses are considered. [1] Evidence – The analyst then lists evidence and arguments (including assumptions and logical deductions) for and against each hypothesis. [1]
The foremost alternative hypothesis under Marcan priority is the Farrer hypothesis, which postulates that Mark was written first, then Matthew expanded on the text of Mark, and Luke used both Mark and Matthew as source documents (Mark → Matthew → Luke).
Gould presents an alternative hypothesis, however, which states that the history of life is better described as "decimation followed by diversification within a few remaining stocks", [4] represented as a pyramid with a wide base of anatomical disparity that becomes increasingly constrained by natural selection and extinction level events as ...
The Duhem–Quine thesis argues that no scientific hypothesis is by itself capable of making predictions. [3] Instead, deriving predictions from the hypothesis typically requires background assumptions that several other hypotheses are correct — that an experiment works as predicted, or that previous scientific theory is accurate.