Attached are 2 comments about the hypothesis testing procedure with an example. Please comment on each of the post in 100 words or more and use examples to support your thoughts. You may agree or disagree however, please use live examples to support your position. All answers and references must be based on USA information.
There are two comments in regards to Performing a hypothesis test in regards to business statistics and an example of a hypothesis test.. Please respond with an opinion of how you feel about the post and support your opinion with examples. Each comment should be a total of 100+ words and all examples, resources etc must be based in USA.
The basic premise of hypothesis testing is simple; come up with an idea of a property a population should contain, then prove or disprove it using sampling techniques. The idea, or assumption, to be proven is known as the null hypothesis. Once the tester has created the assumption they are looking for, the null hypothesis, they then must decide on an alternate outcome if the sample disproves the first assumption. This second outcome is called the alternative hypothesis.
The most difficult aspect to hypothesis is often coming up with these two opposing ideas. As our test notes “It is not always obvious how the null and alternative hypotheses should be formatted. Care must be taken to structure the hypotheses appropriately so that the hypothesis testing conclusion provides the information the researcher or decision maker wants” (Anderson. D., Sweeney, D., & Williams, T., p. 350, 2012).
It is often useful to actually begin gathering information in support of the alternative hypothesis and use that information to arrive at the null hypothesis. Again, the text says sometimes “In some situations it is easier to identify the alternative hypothesis first and then develop the null hypothesis. In other situations it is easier to identify the null hypothesis first” (Anderson. D., Sweeney, D., & Williams, T., p. 350, 2012). Whichever works best for developing the idea is what is important.
After the null and alternative hypotheses are figured out, sampling is done of the population being considered. The sampling should result in either proving the hull hypothesis or the alternative hypothesis, but not both. If this does not happen there…