Explain why there is an inverse relationship between committing a Type I error and committing a Type II error. What is the best way to reduce both kinds of error?

Explain why there is an inverse relationship between committing a Type I error and committing a Type II error. What is the best way to reduce both kinds of error?

A type 1 error is known as a false positive and occurs when a researcher mistakenly rejects a true null hypothesis. This means that your report that your findings are significant when in fact they have occurred by chance (Mcleod, 2019). A type II error is different as it is known as a false negative and occurs when a researcher fails to reject a null hypothesis which is really false. McLeod (2019) states, “here a researcher concludes there is not a significant effect, when actually there really is.” There is an inverse relationship between committing a type I error and committing a type II error since when the likelihood of committing a type I error rises, the likelihood of committing a type II error diminishes, vice versa. Both probabilities cannot be decreased at the same time; the best way to decrease both type I and II errors is to ensure that all population samples are accounted for, as well as, calculating all the z scores accurately. According to Witte and Witte (2017), this can help in verifying the truth or falsity of the null hypothesis. Reference Mcleod, S. (2019, July 4).What are Type I and Type II Errors?Simply Psychology