I'm trying to figure out what a reasonable alpha value should be for my statistical analysis or machine learning model. I want to understand the general range or guidelines for selecting an appropriate alpha.
7 answers
KimonoGlory
Tue Oct 15 2024
The adoption of an alpha of 0.05 as the standard threshold reflects a balance between minimizing the risk of false positives and ensuring the robustness of research findings. It allows researchers to draw conclusions with a reasonable degree of certainty.
JejuJoy
Tue Oct 15 2024
The concept of the alpha value, also known as the threshold for statistical significance, holds a pivotal role in research analysis. Its determination, however, is not absolute but rather subjective.
CryptoEmpire
Tue Oct 15 2024
The choice of an alpha value is intimately tied to the specific discipline or field of study being pursued. Different areas of research may adopt varying thresholds based on their unique requirements and conventions.
StarlitFantasy
Tue Oct 15 2024
In the majority of research endeavors, an alpha value of 0.05 is commonly employed. This threshold signifies a level of confidence where the probability of a false positive result, or one that arises under the null hypothesis, is less than 5%.
Leonardo
Mon Oct 14 2024
It's important to note that while 0.05 is a widely accepted alpha value, it is not a fixed rule. Depending on the nature of the study and the desired level of precision, researchers may opt for a more stringent or lenient threshold.