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I am a PhD candidate at a prestigious university in the US. I am currently working on a project that involves the use of MATLAB. I have been tasked with designing a factorial experiment to test my hypotheses. However, I have encountered several problems with my proposed design. I would greatly appreciate if you could provide guidance on how to design a factorial experiment. Here are some potential problems that I have encountered: 1. Lack of statistical power: The null hypothesis does not sufficiently explain the underlying mechanism(s) and could confound
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Factorial designs are used to determine how many different combinations of groups or categories there are to be expected in a given population. Factorial design is a statistical technique that can be used to determine the total number of combinations (i.e., products) of variables in a population. Factorial designs are commonly used for product-product and consumer-product designs (as well as for some consumer product designs), for market research and forecasting, and to evaluate consumer preferences for new products. In MATLAB, factorial designs are carried out using the `factorial`
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Factorial design is a powerful tool that allows for many simulations of different experimental designs. It is used in fields as diverse as psychology, medicine, and finance. For example, in psychology, factors like sex, age, and years of experience affect people’s decision-making. my website In medicine, factors like the treatment received affect the outcome of patients. Finally, in finance, a factorial design can be used to simulate a large number of possible outcomes of an experiment or a system. The MATLAB language is well-suited for factorial design
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