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Examples
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The t-distribution also assumes that the underlying distribution being sampled is normal, which is rarely a good assumption at the levels of reliability that are being demanded, so the assumption train has run off the rails pretty early on.
Significant James Killus 2007
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The t-distribution also assumes that the underlying distribution being sampled is normal, which is rarely a good assumption at the levels of reliability that are being demanded, so the assumption train has run off the rails pretty early on.
Archive 2007-10-01 James Killus 2007
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I'll note here that in statistical sampling, one usually uses something like the t-distribution, which only turns into the normal distribution when the number of samples is infinite, so it adds additional uncertainty for the size of the sample.
Archive 2007-10-01 James Killus 2007
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I'll note here that in statistical sampling, one usually uses something like the t-distribution, which only turns into the normal distribution when the number of samples is infinite, so it adds additional uncertainty for the size of the sample.
Significant James Killus 2007
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But that is no guarantee the number therein came from a data generating process that follows a t-distribution.
Spurious Significance #2 : Granger and Newbold 1974 « Climate Audit 2005
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The cross-validation R2 is virtually 0, the sign is correct only 54% of the time just better than random, the product mean test has a t-distribution and is insignificant, the CE statistic is negative.
Wahl and Ammann: Some Verification Statistics « Climate Audit 2005
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The results of this test should be evaluated against the standard t-distribution with degrees of freedom equal to n-2.
Conservapedia - Recent changes [en] Ed Poor 2010
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E.g., t = βK/SEβK ˆ ˆ (22) has Student's t-distribution with n − p degrees of freedom, which converges to the standard normal distribution as n gets large.
Recently Uploaded Slideshows thaddunning 2010
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What is the function in Excel to obtain a confidence interval using the t-distribution?
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The results of this test should be evaluated against the standard t-distribution with degrees of freedom equal to n-2.
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