Hypothesis tests allow scientists to verify parametric truths or debunk falsehoods of unsubstantiated claims. Understanding of Type I andType II error is a fundamental concept in the application of Hypothesis testing. In this discussion I want you to share your thoughts potential consequences for each one of the errors and have a civil discussion with your peers.

Scenario

The COVID-19 pandemic has affected every facet our lives on a global scale. Therefore, approval and distribution of vaccines needed to be rolled out faster and on a bigger scale than standard procedures would dictate. In this sense, clinical trials have been conducted at a rate that that is different from the regular procedures administered by the FDA (Food and Drug Administration).

Question

We are given the following Null Hypothesis,

H₀:The vaccine is effective.

1. Please state the Type I and Type II errors regarding the givenNull Hypothesis.
2. Please stateat least 2 examples of possible consequences for aType Iand/orType II error. You can choose to analyze both or just one of the errors.

Careful: This is not a platform to discuss any political views. Keep your comments to the task on analyzing the implications of this statistical tool.