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.
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.
