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Euploidy (Greek eu, "true" or "even") is the state of a cell or organism having one or more than one set of the same set of chromosomes, possibly excluding the sex-determining chromosomes. For example, most human cells have 2 of each of the 23 homologous monoploid chromosomes, for a total of 46 chromosomes.
While the pasted cells are still selected in the spreadsheet, copy them again by right-clicking and choosing "Copy" from the context menu. Open a new blank spreadsheet, click in the upper-left cell, right click on it, and choose "Paste Special". In Microsoft Excel, check the "Transpose" box at the bottom of the dialogue and hit Okay.
3, 4, 5 and 6 illustrate four different ways that cells in a table can look in wikitext. Each cell must be separated from the previous cell in its row by either inserting two vertical lines between the cells, if the cells are placed on the same line, or putting the second cell on a new line, with one vertical line ("|") at the beginning.
The ! indicates cells that are header cells. In order for a table to be sortable, the first row(s) of a table need to be entirely made up out of these header cells. You can learn more about the basic table syntax by taking the Introduction to tables for source editing.
Graphical examination of count data may be aided by the use of data transformations chosen to have the property of stabilising the sample variance. In particular, the square root transformation might be used when data can be approximated by a Poisson distribution (although other transformation have modestly improved properties), while an inverse sine transformation is available when a binomial ...
Each value represents the set of shuffles having at least p values m 1, ..., m p in the correct position. Note that the number of shuffles with at least p values correct only depends on p, not on the particular values of . For example, the number of shuffles having the 1st, 3rd, and 17th cards in the correct position is the same as the number ...
The idea of skip-gram is that the vector of a word should be close to the vector of each of its neighbors. The idea of CBOW is that the vector-sum of a word's neighbors should be close to the vector of the word. In the original publication, "closeness" is measured by softmax, but the framework allows other ways to measure closeness.
Listwise deletion will exclude these respondents from analysis. This may create a bias as participants who do divulge this information may have different characteristics than participants who do not. Multiple imputation is an alternate technique for dealing with missing data that attempts to eliminate this bias.