An error that occurs when a researcher rejects the null hypothesis when it is true and concludes that a statistically significant relationship/difference exists when it does not
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http://www.bath.ac.uk/catalogues/information/glossary/
(from the article `statistics`) ...and the rejection of 0 when 0 is false. Unfortunately, since hypothesis tests are based on sample information, the possibility of errors must be ...
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http://www.britannica.com/eb/a-z/t/99
In a hypothesis test, a type I error occurs when the null hypothesis is rejected when it is, in fact, true ie H0 is wrongly rejected. A type I error is usually considered to be more serious, and therefore more important to avoid, than a type II error.
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http://www.cirem.co.uk/definitions.html
That is, 'type one error.' This is the error in testing a hypothesis of rejecting a hypothesis when it is true. Source: Davidson and MacKinnon, 1993, p 78-79 Contexts: econometrics; estimation; statistics
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http://www.econterms.com/glossary.cgi?query=type+I+error
In a hypothesis test, a type I error occurs when the null hypothesis is rejected when it is in fact true; that is, H0 is wrongly rejected. For example, in a clinical trial of a new drug, the null hypothesis might be that the new drug is no better, on average, than the current drug; that is H0: there is no difference between the two drugs on average...
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http://www.encyclo.co.uk/local/20140
False positive - wrongly concluding that there is a significant difference. See also Multiple testing (multiplicity).
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http://www.encyclo.co.uk/local/20429
The statistical error (said to be of the first kind or alpha error) made in testing an hypothesis when it is concluded that a treatment or intervention is effective when it really is not. Sometimes referred to as a false positive. ... (12 Dec 1998) ...
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http://www.encyclo.co.uk/local/20973
the rejection of a null hypothesis that is true.
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http://www.encyclo.co.uk/local/21001
In the statistical test of an hypothesis the error incurred by rejecting the null hypothesis is true.
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Type: Term Synonyms: error of the first kind
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http://www.medilexicon.com/medicaldictionary.php?t=30202
Type I error: The statistical error (said to be "of the first kind" or alpha error) made in testing an hypothesis when it is concluded that a treatment or intervention is effective when it really is not. Sometimes referred to as a false positive.
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http://www.medterms.com/script/main/art.asp?articlekey=5875
in statistical process control, incorrectly inferring the process is out of control when the process is actually in control. In hypothesis testing, incorrectly rejecting the null hypothesis.
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http://www.mistakeproofing.com/glossary.html
Deciding to reject the null hypothesis when the null hypothesis is in fact true. The investigator determines that there is something going on when in fact there is not.
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http://www.virology.net/ATVGlossary.html
the error made in the statistical testing of a hypothesis by rejecting the null hypothesis when it is actually true.
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https://www.infoplease.com/dictionary/type-i-error
No exact match found.
