Dixon-Q Test [Example #2]

In this video, Kevin Tolkoff demonstrates how to perform a Dixon Q test to identify and potentially discard an outlier from a set of temperature data. The process involves calculating the variance and range, followed by determining the experimental Q value. If the experimental Q is greater than the critical Q, the outlier can be discarded. The video provides a step-by-step guide to these calculations, ensuring the correct use of significant digits and numerical order.

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