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The code above is in {{Conditional tables/example 2c}}. As before, the table below demonstrates the effect when it's used: As before, the table below demonstrates the effect when it's used: Template call
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See also: the {{}} template. The #if function selects one of two alternatives based on the truth value of a test string. {{#if: test string | value if true | value if false}} As explained above, a string is considered true if it contains at least one non-whitespace character.
Click OK in the popup box. In the next dialog box drag "Year" to the "Column Fields" box, and drag "State" to the "Row Fields" box. Drag "Rate" to the "Data Fields" box. In the options menu decide whether you want the rows or columns totaled. Click OK. The table will convert to the new format with the years as column headers.
In statistics, the conditional probability table (CPT) is defined for a set of discrete and mutually dependent random variables to display conditional probabilities of a single variable with respect to the others (i.e., the probability of each possible value of one variable if we know the values taken on by the other variables).
If the conditional distribution of given is a continuous distribution, then its probability density function is known as the conditional density function. [1] The properties of a conditional distribution, such as the moments , are often referred to by corresponding names such as the conditional mean and conditional variance .
Therefore, some text that is formatted as a comment is actually not a comment. It is markup code. Note that other browsers – that do not support the conditional comment feature – ignore them since they are formatted as comments. An HTML code comment is text that starts with <!--and ends with -->. An IE conditional comment is delimited the ...
[citation needed] One author uses the terminology of the "Rule of Average Conditional Probabilities", [4] while another refers to it as the "continuous law of alternatives" in the continuous case. [5] This result is given by Grimmett and Welsh [6] as the partition theorem, a name that they also give to the related law of total expectation.