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The assumption of a mortgage by the purchaser is typically included as part of the deed, although there is no requirement that it has to be in writing. In most jurisdictions, an explicit assumption is required. If a deed is silent or ambiguous on the matter, the court will assume the purchaser did not intend to assume the mortgage.
the use of the extraordinary assumption is required to properly develop credible opinions and conclusions; the appraiser has a reasonable basis for the extraordinary assumption; use of the extraordinary assumption results in a credible analysis; and the appraiser complies with the appropriate disclosure requirements (as proscribed elsewhere in ...
The value q s is the sample's test statistic. (The notation | x | means the absolute value of x ; the magnitude of x with the sign set to + , regardless of the original sign of x .) This q s test statistic can then be compared to a q value for the chosen significance level α from a table of the studentized range distribution .
P is the assumption in a (possibly counterfactual) What If question. The adjective hypothetical, meaning "having the nature of a hypothesis", or "being assumed to exist as an immediate consequence of a hypothesis", can refer to any of these meanings of the term "hypothesis".
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These are often denoted by uppercase letters such as P, Q and R. Examples: In P(x), P is a predicate symbol of valence 1. One possible interpretation is "x is a man". In Q(x,y), Q is a predicate symbol of valence 2. Possible interpretations include "x is greater than y" and "x is the father of y".
The Wilcoxon signed-rank test is a non-parametric rank test for statistical hypothesis testing used either to test the location of a population based on a sample of data, or to compare the locations of two populations using two matched samples. [1] The one-sample version serves a purpose similar to that of the one-sample Student's t-test. [2]
A statistical significance test starts with a random sample from a population. If the sample data are consistent with the null hypothesis, then you do not reject the null hypothesis; if the sample data are inconsistent with the null hypothesis, then you reject the null hypothesis and conclude that the alternative hypothesis is true. [3]