Considering “Hypothesis Testing and Inferential Statistics”, we know that a significant finding leads up to feel confident we can reject the null hypothesis. When a result is not extreme enough to reject the null hypothesis:
• Explain why it is wrong to conclude that your result supports the null hypothesis.
• What is the null hypothesis?
• We can reject the null, but never accept it—explain why.
• Provide an example (make it as personalized as you’d like) of a research scenario and state the null and alternative hypothesis.
Respond to the following in a minimum of 100 words:
A local dermatologist claims that more than 30% of mole biopsies are unnecessary. Last month at his clinic, 210 out of 634 had benign biopsy results. Is there enough evidence to reject the dermatologist’s claim?
• Identify whether this research scenario listed above is a One- or Two-tailed test and Justify your decision.
Sample Solution
