04/08/14
As I collect data I believe that hypothesis testing, multi-vari analysis, and also modeling relationships between variables will all help me analyze data on how to ensure product safety.
First, hypothesis testing will help a ton because it is a great method. It’s a method of statistical inference using data from the study on ensuring product safety. These tests are used to determine what outcomes of a study would help for better result, feedback, and also just information. There is a critical region of a hypothesis test that is the set of all outcomes which is caused by what is called the null hypothesis to be rejects by the alternative hypothesis. I will test it and see what my outcomes are for ensuring product safety.
Second, a multi-vari analysis would work well. This is a technique for viewing multiple sources of process variation. A multi-vari is the perfect tool or device to determine where the variability is coming from in your process. So it would determine the best way to ensure product safety and where they found that to determine the best way. Multi-vari analysis is also a good way of showing things in a graphical form rather than just writing everything out. When relating this to product safety it is good because you want to be able to compare and using this technique you can compare two different things, or ideas.
Last, modeling relationships between variables which can also be very good. It keeps things organized and also just so you