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In English, the past tense (or preterite) is one of the inflected forms of a verb. The past tense of regular verbs is made by adding -d or -ed to the base form of the verb, while those of irregular verbs are formed in various ways (such as see→saw , go→went , be→was/were ).
When referring to hypothetical future circumstance, there may be little difference in meaning between the first and second conditional (factual vs. counterfactual, realis vs. irrealis). The following two sentences have similar meaning, although the second (with the second conditional) implies less likelihood that the condition will be fulfilled:
Participants were presented with one of three hypothetical bankruptcy cases, which contained either no statement about the ending of the case, a positive outcome or a negative outcome. Depending on the presented ending, judgements about whether the CEO was to blame and about the possibility to predict the outcome, were significantly different.
In statistics, hypotheses suggested by a given dataset, when tested with the same dataset that suggested them, are likely to be accepted even when they are not true.This is because circular reasoning (double dipping) would be involved: something seems true in the limited data set; therefore we hypothesize that it is true in general; therefore we wrongly test it on the same, limited data set ...
But the way the speech was phrased, using a factive verb, implicitly framed the lead as truth rather than hypothesis. There is however a strong alternative view that the factivity thesis , the proposition that relational predicates having to do with knowledge, such as knows, learn, remembers, and realized , presuppose the factual truth of their ...
The above image shows a table with some of the most common test statistics and their corresponding tests or models. A statistical hypothesis test is a method of statistical inference used to decide whether the data sufficiently supports a particular hypothesis. A statistical hypothesis test typically involves a calculation of a test statistic.
Scenario testing is a software testing activity that uses scenarios: hypothetical stories to help the tester work through a complex problem or test system.The ideal scenario test is a credible, complex, compelling or motivating story; the outcome of which is easy to evaluate. [1]
Equivalence tests are a variety of hypothesis tests used to draw statistical inferences from observed data. In these tests, the null hypothesis is defined as an effect large enough to be deemed interesting, specified by an equivalence bound. The alternative hypothesis is any effect that is less extreme than said equivalence bound.
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