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?
- 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 argument 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 argument 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.