Student's t-test: Difference between revisions

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<div class="definition"><div class="short_definition">(<br/>''Also called'' ''t'' test.) A [[significance test]] applicable to a [[sample]] mean of a sample  estimate of a [[regression coefficient]] or a [[correlation coefficient]] (the latter only when the hypothetical  value is zero).</div><br/> <div class="paragraph">It is used to test an assumed value of the corresponding [[parameter]]. It is also applicable to the  comparison of two (but not more than two) sample means or two regression coefficients, but not  of two correlation coefficients. The ''t'' test has different formulas for different uses.</div><br/> </div>
<div class="definition"><div class="short_definition">(''Also called'' ''t'' test.) A [[significance test]] applicable to a [[sample]] mean of a sample  estimate of a [[regression coefficient]] or a [[correlation coefficient]] (the latter only when the hypothetical  value is zero).</div><br/> <div class="paragraph">It is used to test an assumed value of the corresponding [[parameter]]. It is also applicable to the  comparison of two (but not more than two) sample means or two regression coefficients, but not  of two correlation coefficients. The ''t'' test has different formulas for different uses.</div><br/> </div>
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Latest revision as of 15:14, 20 February 2012



Student's t-test[edit | edit source]

(Also called t test.) A significance test applicable to a sample mean of a sample estimate of a regression coefficient or a correlation coefficient (the latter only when the hypothetical value is zero).

It is used to test an assumed value of the corresponding parameter. It is also applicable to the comparison of two (but not more than two) sample means or two regression coefficients, but not of two correlation coefficients. The t test has different formulas for different uses.


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