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  2. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate. In statistical hypothesis testing, this fraction is given the Greek letter α, and 1 − α is defined as the specificity of the test. Increasing the specificity of the test lowers the probability of type I errors ...

  3. Family-wise error rate - Wikipedia

    en.wikipedia.org/wiki/Family-wise_error_rate

    V is the number of false positives (Type I error) (also called "false discoveries") S is the number of true positives (also called "true discoveries") T is the number of false negatives (Type II error) U is the number of true negatives = + is the number of rejected null hypotheses (also called "discoveries", either true or false)

  4. False positive rate - Wikipedia

    en.wikipedia.org/wiki/False_positive_rate

    The false positive rate is calculated as the ratio between the number of negative events wrongly categorized as positive (false positives) and the total number of actual negative events (regardless of classification). The false positive rate (or "false alarm rate") usually refers to the expectancy of the false positive ratio.

  5. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. [1] Type I error: an innocent person may be convicted. Type II error: a guilty person may be not convicted.

  6. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    A test which reliably detects the presence of a condition, resulting in a high number of true positives and low number of false negatives, will have a high sensitivity. This is especially important when the consequence of failing to treat the condition is serious and/or the treatment is very effective and has minimal side effects.

  7. Nvidia unveils robot training tech, new gaming chips and ...

    www.aol.com/news/nvidia-ceo-set-stage-ces...

    By Max A. Cherney and Stephen Nellis (Reuters) -Nvidia on Monday took the wraps off new products such as artificial intelligence to better train robots and cars, souped-up gaming chips and its ...

  8. False discovery rate - Wikipedia

    en.wikipedia.org/wiki/False_discovery_rate

    In statistics, the false discovery rate (FDR) is a method of conceptualizing the rate of type I errors in null hypothesis testing when conducting multiple comparisons. FDR-controlling procedures are designed to control the FDR, which is the expected proportion of "discoveries" (rejected null hypotheses ) that are false (incorrect rejections of ...

  9. How ‘Weekend Warrior’ Workouts Can Jumpstart Your 2025 ...

    www.aol.com/lifestyle/weekend-warrior-workouts...

    Weekend warriors get their exercise in over a couple of days (like the weekend) rather than throughout the week. Studies have shown this exercise pattern results in significant health benefits ...