We are currently working on a research paper aiming to develop ink from organic waste. My research group mates and I are debating on what statistical test to use for our study. We want to see the effect of different particle sizes on ink characteristics such as viscosity, pH, drying time, erasability, density, etc.
Most of the related literature we found did not use a specific test, only graphic/tabulating and then describing the data they have obtained.
The answer depends on the research questions and the experimental design. Best wishes David Booth
Thank you for your response, sir David Eugene Booth!
Below are the specific questions we want to answer. If I may just ask, what statistical test do you think is most suitable to be used for our hypothesis testing?
1. What specific particle size, among 70 nm, 90nm, 110nm, and 130nm, of the carbon produces a greater characteristic of the ink?
2. What is the relationship between the particle size of the carbon and the characteristics of the ink?
3. Are the characteristics of the ink (viscosity, pH, drying time, erasability, toxicity) made from organic waste similar to those commercially made?
The characteristics of the four ink samples, each having the same components with varying carbon particle sizes, will be tested and evaluated.
Your response is highly appreciated. Other insights are also welcome.
1 depends on the characteristic you are interested in
2 regression. Type depends on the characteristics of the dependent variable
3 Hypothesis tests depending on samples involved size, method of collection,etc.
The point I have been trying to make is that there are lots of possibilities often depending on the particular question you wish to ask. There's no omnibus test or method that covers everything that you asked about. A good reference for your questions is Montgomery, Design and analysis of experiments. There's no easy simple answer to your question. David Booth
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