The idea behind hypothesis testing is to understand what data is different compared to the expected outcome.
Question:
The idea behind hypothesis testing is to understand what data is different compared to the expected outcome. The hypothesis is generally considered to be the null hypothesis, if this is reject then you would use an alternative hypothesis. When I think of how I could apply this theory and relate it with anything, I think of testing a new reagent at work to improve copper recovery. Because we would assume that the reagent test would provide positive results we would use the one-tailed test. A two-tailed test would mean we do not know if this is going to be a positive or a negative outcome. In order to determine the results of either test, we would perform the experiment in a small scale/ laboratory setting. This could be a challenge because of the chemistry of the ore we are mining. Our mine is diverse in ore so we would have a hard time getting a sample that could be comparable to all the reserves we have yet to mine. Core sampling helps us determine what is coming and gives us an opportunity to adjust reagents to meet the needs of the material anticipated to come through the mill.
Do you agree? Why / Why not Explain.