Discuss the below:
Q1: 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.
Describe in your own words the differences between type I and type II errors. In addition to your explanation, you may examples from your experiences which illustrate the differences.
Q2: Confidence
Note: You are not provided all the information needed in this scenario. Discover what information is missing and state why you need it to make an honest estimation of the results. Then take your best guess as to the race results.
Candidates for election are often compared by the television commentators as winning or losing a recent poll or survey by a "plus or minus margin of error."
In another survey taken the same day in a different location, Candidate Z is shown as leading by 49% over Candidate Q, who has polled only 46% with a 3 percentage point margin of error.
Based on what you know about confidence intervals, which candidate do you believe is ahead in the race based on these results? Explain.