What is a right tailed test?
Understand the Problem
The question is asking for an explanation of a right-tailed test in statistics, which is a hypothesis test in which the area of interest is in the right tail of the probability distribution. It typically tests whether a sample statistic is greater than a certain value. This involves understanding concepts related to hypothesis testing and significance levels.
Answer
A right-tailed test is used when the alternative hypothesis states that the true value of the parameter is greater than what is stated in the null hypothesis.
A right-tailed test is used when the alternative hypothesis states that the true value of the parameter is greater than what is stated in the null hypothesis.
Answer for screen readers
A right-tailed test is used when the alternative hypothesis states that the true value of the parameter is greater than what is stated in the null hypothesis.
More Information
Right-tailed tests are often used in scenarios where you need to determine if there is a significant increase in a parameter, such as testing if a new treatment is more effective than an existing one.
Tips
Common mistakes include not properly specifying the alternative hypothesis with the correct inequality symbol, and not distinguishing clearly between right-tailed and two-tailed tests.
Sources
- One-tailed and Two-tailed Tests - Newcastle University - ncl.ac.uk
- Left Tailed Test or Right Tailed Test ? How to Decide - Statistics How - statisticshowto.com
- How to Identify a Left Tailed Test vs. a Right Tailed Test - Statology - statology.org
