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Type 1 error stats
Type 1 error stats






type 1 error stats

This means that your report that your findings are significant when in fact they have occurred by chance. What is a Type 1 error called?Ī type 1 error is also known as a false positive and occurs when a researcher incorrectly rejects a true null hypothesis. Type 2 errors happen when you inaccurately assume that no winner has been declared between a control version and a variation although there actually is a winner. If type 1 errors are commonly referred to as “false positives”, type 2 errors are referred to as “false negatives”. Now, we have got the complete detailed explanation and answer for everyone, who is interested! This is a question our experts keep getting from time to time.








Type 1 error stats