Search results
Results From The WOW.Com Content Network
In practice the politics and theology of the day determined the result of the dispute, but the nature of the controversy was a clear example of how different bundles of (usually implicit) auxiliary assumptions could support mutually inconsistent hypotheses concerning a single theory. In terms of either version of the Duhem–Quine thesis it ...
Introduction Cites the main text of work being analyzed, similar to a typical essay lead paragraph Body Explanation of key ideas, concepts and phrases, demonstrating the implied significance and purpose of the text using direct examples of how the author supports the thesis, often relating or contrasting to the reader's assumptions (this is not a creative interpretation)
Original file (1,275 × 1,650 pixels, file size: 271 KB, MIME type: application/pdf, 3 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.
An example of Neyman–Pearson hypothesis testing (or null hypothesis statistical significance testing) can be made by a change to the radioactive suitcase example. If the "suitcase" is actually a shielded container for the transportation of radioactive material, then a test might be used to select among three hypotheses: no radioactive source ...
Then if the assumption is important to the results of the analysis, the results would be only as reliable as the certainty of the assumption. Carrying that example a step further, if one were to research the genetics of a transgenic potato, one might make the general assumption that God does not exist, or at least make the general assumption ...
The "thesis statement" comes from the concept of a thesis (θέσῐς, thésis) as it was articulated by Aristotle in Topica. Aristotle's definition of a thesis is "a conception which is contrary to accepted opinion." He also notes that this contrary view must come from an informed position; not every contrary view is a thesis. [3]
Model-based assumptions. These include the following three types: Distributional assumptions. Where a statistical model involves terms relating to random errors, assumptions may be made about the probability distribution of these errors. [5] In some cases, the distributional assumption relates to the observations themselves. Structural assumptions.
Developed in 1940 by John W. Mauchly, [3] Mauchly's test of sphericity is a popular test to evaluate whether the sphericity assumption has been violated. The null hypothesis of sphericity and alternative hypothesis of non-sphericity in the above example can be mathematically written in terms of difference scores.