Find a news story in which the author(s) presents statistics as evidence. Consider the following questions:
What is the author(s) trying to prove? In other words, what question is the author(s) trying to answer?
What would the null hypothesis be?
What would happen if the author(s) rejected the null?
What action would the author(s) take?
If there were a type I error, what would be the effect of the action taken?
What would happen if the author(s) could not reject the null?
What action would the author(s) take?
If there were a type II error, what would be the effect of the action?
Post a 150- to 225-word (2- to 3-paragraph) explanation of the role of null and alternative hypotheses as well as type I and II errors in situations where people use statistics as evidence.
In your explanation, address the following:
Identify, briefly, the null and alternative hypotheses involved in the news story you located, as well as explain what the author(s) is trying to prove.
Describe what the implications might be if the author(s) rejected the null and if the author(s) could not reject the null.
Explain the impact of potential type I and/or type II errors.
To support your response, be sure to reference at least one properly cited scholarly source.
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