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Analyze your experiment

After all your experiments are run for the analysis part, generally, DoE analysis is done in the following steps:

  • Exploratory data analysis
  • Model building
  • Graph builder
  • Use of model

1. Exploratory data analysis​

Before diving into the analysis, it's important to examine the data and check for any outliers, typos, or obvious problems. Additionally, constructing various graphs will provide a visual representation of the data, allowing you to grasp the big picture.

2. Model builder​

In this step, you will create a statistical model from the collected data. Start by fitting the data to the theoretical model. If the model is too complex, consider simplifying it using stepwise regression methods or by considering the significance of individual model parameters using p-values. Simplifying the model can make it easier to interpret and more practical for further analysis.

3. Graph builder​

Graph Builder lets you quickly create and customize graphs to visualize your data. It’s designed to make turning data into clear, useful visuals as simple as possible.

4. Use of model​

Finally, utilize the results obtained from the analysis to address the questions and objectives of your experiment. This could involve identifying important factors that significantly affect the response, determining optimal settings for the factors, or making other informed decisions based on the analyzed data. Remember, the DOE analysis process is iterative, and you may need to revisit certain steps if necessary. It's crucial to carefully interpret the results and consider the limitations of the analysis. By following these basic steps, you can effectively analyze your DOE data and gain valuable insights into the factors that impact your response variable.