Asked by Karina Rocha on Jul 04, 2024
Verified
The likelihood of familywise error increases as fewer comparisons are made within a set of data.
Familywise Error
The odds of incurring one or more false alarms, or type I errors, in the process of multiple hypothesis testing.
Fewer Comparisons
A methodological approach in research that aims to reduce the risk of Type I errors by limiting the number of hypotheses tests or comparisons.
- Acknowledge the criticality of mitigating type I errors in the context of hypothesis testing.
Verified Answer
AH
Austin HurleyJul 08, 2024
Final Answer :
False
Explanation :
The likelihood of familywise error increases as more comparisons are made within a set of data, not fewer, because each additional comparison raises the chance of incorrectly rejecting at least one null hypothesis by chance.
Learning Objectives
- Acknowledge the criticality of mitigating type I errors in the context of hypothesis testing.
Related questions
The Tukey Test Limits Familywise Error by ______ ...
When Making a Decision About the Null Hypothesis Using the ...
Type II Error Is Typically Greater for Two-Tailed Hypothesis Tests ...
In a Hypothesis Test, If the Null Hypothesis Has Been ...
In April of 2011,the Unemployment Rate in Canada Was Reported ...