Define and interpret the rare event rule for inferential


Discussion Response

The mathematical expression of probability as a number between 0 and 1 is fundamental to understanding statistics. For example, research articles will include a p-value expression such as "significance less than 0.001. This means that a probability of .001 (equivalent to 1/1000) corresponds to an event so rare that it occurs an average of only once in a thousand trials.

Define and interpret the rare event rule for inferential statistics. This means that you should summarize from the text and then provide your own understanding of the reare event rule. Find an article from a peer-reviewed journal that states the p-value. What is the p-value? What does the p-value tell us? What is the author's conclusion based on that probability? Was their finding "unusual", if unusual is defined as p < .05? Explain.

Use a minimum of 2 sources. APA format is required including proper in text citations and a list of references. NOTE: Sources used in answering the Topic Question should come from peer-reviewed journals. This means no tweets, blogs, wikis, CNN.com, etc. should be used as resources. Minimum of 450 words for the text body (word count does not include the References/Work Cited word count)

Solution Preview :

Prepared by a verified Expert
Basic Statistics: Define and interpret the rare event rule for inferential
Reference No:- TGS02323146

Now Priced at $25 (50% Discount)

Recommended (94%)

Rated (4.6/5)