Actually, reflecting on distribution of a sample (or of an entire population), perhaps the simplest metric isn't even graphical.
One could just calculate the
percentile into which the test sample falls (and also specify
n, the number of samples tested to date). (speaking of single number, dimensionless surrogates!
)
110 dB is a
mode for this dataset -- moreDACs fall into this bucket than
any other bucket. It's a very common SINAD (in this case) for all of the DACs tested.
There are many possible explanations, e.g.
- It is easy to achieve with readily available parts.
- It is preferred based on market research.
- It is a breakpoint in terms of performance vs. price (or manufacturing cost or... whatever metrics matter to a for-profit company).
- It just is (i.e., it is a random outcome).
- etc. (?!)
My eyeballs suggest to me that the distribution of DACs tested here to date might (!) be well described as a Poisson distribution. But I am too
lazy to take the dataset, try a few models, and compare the goodness-of-fit objectively.
At least today.