This decision process is prone to the following kind of error:we may fail to reject the null hypothesis when it is false. Errors of this kind are dubbed Type II errors, in order to distinguish them from Type I errors, which occur when the null hypothesis is rejected despite being true. ...
Type II error: false negative, Testing shows that something is not present, but in fact it is present. Fail to detect something. In statistical hypothesis testing, a type I error is the incorrect rejection of a true null hypothesis (a "false positive"), while a type II error is the fai...
S. Thompson, "On the Distribution of Type II Errors in Hypothesis Testing," Applied Mathematics, Vol. 2, No. 2, 2011, pp. 189-195. doi:10.4236/am.2011.22021S. Thompson, “On the Distribution of Type II Errors in Hypothesis Testing,” Applied Mathematics, Vol. 2, No. 2, 2011, pp....
Hypothesis TestingPower CurvesPower SurfacesType II ErrorsWhen a statistical test of hypothesis for a population mean is performed, we are faced with the possibility of committing a Type II error by not rejecting the null hypothesis when in fact the population mean has changed. We consider this ...
: acceptance of the null hypothesis in statistical testing when it is false Word History First Known Use 1947, in the meaning defined above Time Traveler The first known use of type II error was in 1947 See more words from the same year ...
A type 2 error (AKA Type II error) occurs when you fail to reject a false null hypothesis in a hypothesis test. It is a false negative.
Learn what the differences are between type 1 and type 2 errors in statistical hypothesis testing and how you can avoid them.
A. rejecting a true null hypothesis. B. rejecting a true alternative hypothesis. C. failing to reject a false null hypothesis. 相关知识点: 试题来源: 解析 C The Type Ⅱ error is the error of failing to reject a null hypothesis that is not true.反馈...
The two types of errors in hypothesis testing are type I and type II errors. The type I error occurs when we accept the alternative hypothesis...Become a member and unlock all Study Answers Start today. Try it now Create an account Ask a question Our experts can answer ...
A type I error occurs if a null hypothesis is rejected that is actually true in the population. This type of error is representative of a false positive. Alternatively, a type II error occurs if a null hypothesis is not rejected that is actually false in the population. This type of error...