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{{google|1 pound in kilograms {{=}}}} 1 pound in kilograms = Use Template:= to add an = sign to trigger Google Calculator when necessary; that template cannot be substituted. {{google|1 pound in kilograms}} 1 pound in kilograms: Google may display Calculator results for some expressions even if they lack a trailing equals sign.
This template is a cut-down instance of the more general {{Google custom}} template. You may wish to make similar templates if you need to create repetitive links to other portions of Wikipedia that {{Google custom}} can search. This saves much typing compared to using {{Google custom}} for each link.
If the template has a separate documentation page (usually called "Template:template name/doc"), add [[Category:Presidential election candidate templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Presidential election candidate templates]]</noinclude>
Template parameters [Edit template data] This template prefers inline formatting of parameters. Parameter Description Type Status; Party: party: The article name of the relevant party. Example Labour Party (UK) Page name: required: Candidate name: candidate: no description. String: required: Number of votes: votes: no description. Example 9,999 ...
Google remembers what people ask its infinite source of knowledge. This comes handy during your search for information about the presidential candidates, which as you saw from the video sparked ...
The template will return one line with the user credited as both nominator and updater. ITNR: if yes, a comment is added about the item being a recurring item . nom cmt: the nominator's reasoning for nominating the item and can be used to note potential problems with the nomination or article.
Graphs of probabilities of getting the best candidate (red circles) from n applications, and k/n (blue crosses) where k is the sample size. The secretary problem demonstrates a scenario involving optimal stopping theory [1] [2] that is studied extensively in the fields of applied probability, statistics, and decision theory.