Of course errors are possible in any decision and properly designed hypothesis tests will minimize both types of errors that may occur. The potential errors are classified as follows: Type I error – The null hypothesis is rejected when it shouldn’t be (probability is α) Type II error – ...
Type I and II Errors Type I error (弃真错误)occurs when a significance test results in the rejection of a true null hypothesis. α is the probability of a Type I error given that the null hypothesis is true. Type II error (弃伪错误)is failing to reject a false null hypothesis. If t...
A Type I can occur when the null hypothesis is not rejected. Is this true or false? Failing to reject the null hypothesis when it is false is: a. alpha. b. Type I error. c. beta. d. Type II error. If a false null hypothesis is rejected, the decision is: a. a Type...
There are two types of error that may occur in hypothesis testing. Type I error occurs when we reject a true null hypothesis (that is, when we falsely reject H0). Prior to testing a hy-pothesis, the researcher must decide what chances of making a Type I error are acceptable (e.g.,...
A Type I error can also occur in null hypothesis significance testing. A Type I error represents the rejection of a null hypothesis that is a correct representation of data in the population. Answer and Explanation: Learn more about this topic: ...
Power: 1 Hypothesis Testing: Type II Error and Power Power: 2 Type I and Type II Error Revisited 1-b Type I error aType II error
\beta = P(accepting \ \ H_0 | H_0 \ \ is \ \ false)=P(\text{making a type II error}) power of the test 检验功效: The power of a test is defined as the probability of rejecting the null hypothesis when it is false (that is, making the correct decision). 当零假设为假时,...
A fire alarm provides a good analogy for the types of hypothesis testing errors. Preferably, the alarm rings when there is a fire and does not ring in the absence of a fire. However, if the alarm rings when there is no fire, it is a false positive, or a Type I error in statistical...
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 ...
百度试题 题目A Type II error: A. fails to reject a true null hypothesis. B. fails to reject a false null hypothesis. C. rejects a true null hypothesis.相关知识点: 试题来源: 解析 B 略 反馈 收藏