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Low-order moment around the mean (mean, standard deviation and skewness) analysis of the time evolving acoustic emission of an air atmospheric pressure plasma jet is performed as a function of nozzle-to-surface gap (7 to 0.5 cm), drive frequency (19 and 25 kHz) and air flow rate (35.7 and 76.6 l/m). The shapes of the probability distribution of each measurement dataset (containing 433 samples) are found to exhibit deterministic correlations with contrasting entropy process regions. The results indicate that the heated air is channeled along the surface and has a preferred backscatter angular distribution. Separation between the blown arc process (gap = 0.5 cm and 1740 ±100 K) and the afterglow (gap = 1 to 7 cm and 300-400 K) is observed in the mean acoustic amplitude and standard deviation. In addition the blown arc process exhibits a skewness of +0.055 and the afterglow has skewness values from -0.05 to -0.4. These results illustrate how acoustic information can be used to differentiate plasma-surface entropy states. [ABSTRACT FROM AUTHOR]