Finish Editing. Stating Hypotheses. Solve the following problems about Type I and Type II errors. But there’s a slim chance (alpha level) that it could happen. All rights reserved. If the alpha level is 0.01, what is the probability of a Type I error? Type I and Type II errors • Type I error, also known as a “false positive”: the error of rejecting a null hypothesis when it is actually true. Which of the following best describes a type II error? This error is sometimes referred to as “missing out on a detection.” The claim really was wrong, but you didn’t get a random sample that would provide enough evidence to reject it with enough statistical significance (small enough p-value). Removing #book# 1,001 Statistics Practice Problems For Dummies. Which of the following describes a Type II error? interventions remain the same) when change is needed. To play this quiz, please finish editing it. Later in life, this can lead to larger or continued crimes. Solve the following problems about Type I and Type II errors. We can help you track your performance, see where you need to study, and create customized problem sets to master your stats skills. Typically when we try to decrease the probability one type of error, the probability for the other type increases. Type I error – punishing a person who is truly innocent and putting them wrongly in jail. The null is false and we reject it. Understanding the Statistical Mean and the Median, Using the Formula for Margin of Error When Estimating a…, 1,001 Statistics Practice Problems For Dummies Cheat Sheet. Although the errors cannot be completely eliminated, we can minimize one type of error. Type I and II Errors, Next and any corresponding bookmarks? The consequences of making a type I error mean that changes or interventions are made which are unnecessary, and thus waste time, resources, etc. Falsely rejecting the null hypothesis when it is in fact true (Type I error) would have no great consequences for the consumer, but a Type II error (i.e., failing to reject the null hypothesis when in fact the alternate is true, which would result in deciding that Drug 2 is no more harmful than Drug 1 when it is in fact more harmful) could have serious consequences from a public health standpoint. You make a Type II error when the null hypothesis is false but you fail to reject it because your data couldn’t detect it, just by chance. ... visit 1,001 Statistics Practice Problems For Dummies to purchase online access to 1,001 statistics practice problems! https://www.khanacademy.org/.../v/examples-identifying-type-i-and-type-ii-errors Are you sure you want to remove #bookConfirmation# Type I and type II errors are part of the process of hypothesis testing. This quiz is incomplete! Delete Quiz. Type II errors typically lead to the preservation of the status quo (i.e. Share practice link. We can help you track your performance, see where you need to study, and create customized problem sets to master your stats skills. When you are doing hypothesis testing, you must be clear on Type I and Type II errors in the real sense — as false alarms and missed opportunities. Play. Next Stating Hypotheses. Previous If the null is true, then there’s no need for such a change. CliffsNotes study guides are written by real teachers and professors, so no matter what you're studying, CliffsNotes can ease your homework headaches and help you score high on exams.