Hypothesis testing allows you to verify whether a supposition is correct. By considering the variables, you may also be able to analyze the reason why the hypothesis is proven correct or incorrect.
To prepare for this discussion, find a news story that presents statistics as evidence. Consider the following questions:
- What are they trying to prove? I.e., what question are they trying to answer?
- What would the null hypothesis be–how could they say that what they are trying to prove isn’t happening?
- What would happen if they rejected the null?
- What action would they take?
- If there were a type I error, what would be the effect of the action taken?
- What would happen if they could not reject the null?
- What action would they take?
- If there was a type II error, what would be the effect of the action?
Post a brief, 200- to 250-word statement that identifies the null and alternative hypotheses involved in your article, the implications of the two potential conclusions that might have resulted, and the impact of potential Type I and/or Type II errors. Refer to the “Type II Error and the Power of a Test†section in the course text as well as reputable sources on the Internet to help in the formulation of your post.
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