Team A Reflection
QNT/351

Team A Reflection
The importance of an educated guess lies in a 5-step process of testing. Understanding one’s research and the validity in its process helps to determine an educated decision. Once a decision has been made, there may be an option of more than one choice, thus comparing the means of more than one group allows one to weigh options. Once a choice has been made and one must be chosen between two or more that have a correlating relationship, it is important to understand how to calculate the correlation between the variable.
The steps in testing a research hypothesis
Hypotheses in research are predictions of the outcome of the study. Theories and research questions help form a research hypothesis. Hypotheses are meant to be tested and in order to test a research hypothesis, there is a set of five steps to follow to do so. Step one is to make an assumption that should include the level of measurement of the variable, the sampling method, shape of population distribution, and the sample size. In step two we need to state the interest of the relationship and start the research, create a hypothesis that contradicts the null hypothesis, and set the alpha which will help determine the probability of an error. Step three is where the sampling distribution method is selected. This is where the test statistics are specified. In step four, we compute the test statistic by using a formula and coming to a result. The final step, step five, is where a decision is made and the results are interpreted. If the result is greater than the alpha level set in step two, we can assume the null hypothesis is false and will be rejected. (McClave, 2011)

Comparing the means of two or more groups
There are many experiments in which comparing the means of two or more groups can be useful. For instance, a consumer may be interested in