Hypothesis Theory

According to James, McClave, and Benson (2011), five steps in testing a research hypothesis are as follows:

• Define the Problem

• Hypothesize

• Test Statistic

• Probability

• Conclusion

When using the five steps in the hypothesis theory, I had difficulty trying to determine to reject the null hypothesis. It works best for me to fully understand the first step in the theory in order to determine the other steps. I found if I had the incorrect answer it was best to rework the entire steps to figure out and understand the answer. I think that in performing the steps, you need a thesis or a question in mind to develop the steps. I began to stumble when it came to steps three and four, calculating test statistics and computing the probability of test statistics or rejection regions.

In the business of quantitative and qualitative analysis it can be determined that how certain variables are correlated and the distinct correlation on the relationship through a process of correlation analysis. There are various techniques and processes use to determine this outcome. According to Lind, Marchal, and Wathen (2011), correlation analysis is the measurement between two variables using a group of analytical techniques (p.386). This correlation analysis is that if the input of one variable changes then it changes and effects the other variable output changes. One of the analytical techniques used in correlation analysis is the scatter diagram or scatterplot. The scatter diagram provides a visual scale of the correlation of the x-axis and y-axis variables over time to measure the variable correlation.