type i error वाक्य
उदाहरण वाक्य
मोबाइल
- The same is not true of M-estimators and the type I error rate can be substantially above the nominal level.
- In practice, post hoc analyses are usually concerned with finding patterns and / or relationships between type I error rate.
- The usual results for linear combinations of Type I Error Rate, the rate of falsely rejecting a true null hypothesis.
- In this case, a Type I error would result in falsely detecting background brain activity as activity related to the task.
- The type I error rate or "'significance level "'is the probability of rejecting the null hypothesis given that it is true.
- Usually a type I error leads one to conclude that a supposed effect or relationship exists when in fact it doesn't.
- Any statistical analysis involving multiple hypotheses is subject to inflation of the type I error rate if appropriate measures are not taken.
- Bear F . Braumoeller further explores the vulnerability of the QCA family of techniques to both type I error and multiple inference.
- A type I error occurs when detecting an effect ( adding water to toothpaste protects against cavities ) that is not present.
- Before the test is actually performed, the maximum acceptable probability of a Type I error ( " ? " ) is determined.
- That is, one decides how often one accepts an error of the first kind a false positive, or Type I error.
- When the " p "-value is calculated correctly, this test guarantees that the Type I error rate is at most " ? ".
- Furthermore, it is also claimed that if the underlying assumption of homoscedasticity is violated, the Type I error properties degenerate much more severely.
- Choosing rules once the data have been seen tends to increase the Type I error rate owing to testing effects suggested by the data.
- The Wikipedia article on type I error, as well as numerous Google search results, refers to type I errors as " false positives ".
- For a fixed level of Type I error rate, use of these statistics minimizes Type II error rates ( equivalent to maximizing power ).
- The Wikipedia article on type I error, as well as numerous Google search results, refers to type I errors as " false positives ".
- How did " false positive " come to be equated with type I error ?-- 64.236.170.228 19 : 32, 6 September 2007 ( UTC)
- Each of these corrections have been developed to alter the degrees of freedom and produce an F-ratio where the Type I error rate is reduced.
- The above pattern recognition example contained 7 & minus; 4 = 3 type I errors and 9 & minus; 4 = 5 type II errors.
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