What is statistical significance and how do errors affect it?

What is statistical significance?

Statistical significance is a measure that helps determine if the results of a study are likely due to chance or if they reflect a true effect.

How do errors impact statistical significance?

Errors, such as Type I and Type II errors, can affect the validity of your results. A Type I error occurs when you incorrectly reject a true null hypothesis, while a Type II error happens when you fail to reject a false null hypothesis.

Can you explain Type I and Type II errors in more detail?

Sure! A Type I error is often referred to as a 'false positive,' while a Type II error is known as a 'false negative.' Both can lead to incorrect conclusions in research.

How can I minimize these errors in my research?

To minimize errors, ensure you have a large enough sample size, use appropriate statistical tests, and clearly define your hypotheses before conducting the study.