Hypothesis testing is used to assess the plausibility of a hypothesis by using sample data. Such data may come from a larger population, or from a data-generating process (Majaski, 2021). Because sample data is needed to determine the population in this certain community, the sample data or population is unavailable, therefore, we cannot determine the statistical significance. Further, based on the sample size, we will either have a big or small difference.

Accordingly, we can come up with a fictitious number to make this problem work. For example, lets say our current population size for the city of Phoenix is 4,652,000 people (MacroTrends, 2022). With a .01% decrease, we are looking at 4,652 less people on unemployment.

10.5% of 4,652,000 people = 4,163,540

10.4% of 4,652,000 people = 4,168,192

The difference indicates 4,652. Because this number is 4,652, this is significant.

discuss whether you agree or disagree with their assessments, justify your response, and state which other specific hypothesis tests could be used to test the significance of the drop (three different types of tests could be used to address this question). Explain some ethical considerations when dealing with hypothesis testing. Use reference source(s) to support your response.