You can Support MathsGee with your DONATION

You can support MathsGee with your DONATION

In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion).

Welcome to MathsGee Q&A Bank, Africa’s largest personalized FREE Study Help network that helps people find answers to problems and connect with experts for improved outcomes.

Get help from experts - simply ask your question

Enter your email address: