Please Respond to the following post with a paragraph, add citations and references.

An alpha level is the probability of rejecting the null hypothesis, it is the significance level. Different examples of when one would want a lower or higher alpha level can include a number of examples. One is in health care, such as birth control. If a person was choosing the correct form of birth control to reduce the risk of conceiving a pregnancy, a higher alpha level would be idea. If the Mirena IUD had an alpha level of 0.1 in reducing the risk of pregnancy, this would be a better value of 0.01. This would indicate the Mirena works 10% to preventing pregnancy as opposed to a 1%. This alpha level can be used in different scenarios depending on what is actually being tested.

References

Grove, S. K., & Cipher, D. J. (2017). Statistics for nursing research: a workbook for evidence-based practice(2nd ed.). [elsevier]. Retrieved from https://pageburstls.elsevier.com/#/books/978032335…

Understanding hypothesis tests: significant levels (alpha) and p values in statistics. (2015). Retrieved from http://blog.minitab.com/blog/adventures-in-statist…

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