Understanding Type I Error: Does Fisher Have Type One Error in Statistical Significance?
A Type I error, or false positive, occurs in hypothesis testing when the null hypothesis is wrongly rejected. Fisher’s approach to hypothesis testing allows for this by emphasizing statistical significance and p-values. However, it does not explicitly categorize Type I errors within its framework. Ronald Fisher played a pivotal role in the development of statistical … Read more



