Bokena Series Pt2

 Hello everyone, and welcome back to another bokena series blog, where today I will be talking about how I applied the full and fractional factorial design into my recent experiment. In this experiment I will go through the calculations and the basic concepts that we had used as a team to produce our results in our hypothesis testing. From the previous blog, where I explained the 2 different types of factorial designs and how they are to be applied we can see that fractional factorial design is used when the data size needed to be collected is small and there are many factors to be considered.  So first off, what is hypothesis testing?? We use hypothesis testing when we make an statistical hypothesis, which is an assumption made about a population perimeter. As it is an assumption, many time we are not able to confirm if the hypothesis is correct which is where hypothesis testing comes in. We use hypothesis testing, a formal procedure used by experimenter and researcher, to ve...

Hello everyone, and welcome back to another bokena series. TODAY we are gonna talk about Design of experiments also know as DOE.  APA DOE sia?? DOE is just the statistics - based approach to designing experiments. It is a methodology that allows us to obtain knowledge of complex, multi-variable processes with the least number of trial possible. This means that the tedious method of trying out different combinations of trials will be reduced and optimised and it actually the backbone of any product design and the comparison of any improvement efforts made. To make it more easier to understand, let me explain to you by using popcorn as an example. Hypothetically, you have a bag of kernels that weight a 100g and you would like to know an accurate prediction of how many kernels actually pop into popcorn. Before starting the calculations, we all know that it is impossible to ensure that all the kernels are fully popped meaning that the yield cannot be 100%. And to add on, the yield that...