Extended Data Fig. 4: Goodness-of-fit test, skewness, and kurtosis for the fitted distribution for the input parameters and metrics of quality and marketability.

Table presenting the goodness-of-fit test, skewness, and kurtosis for the fitted distribution for the input parameters and metrics of quality and marketability. Here * indicates that the Chi-squared test is significant (p<0.05), so here the fitted distribution differs significantly from the population. ^# indicates that the distribution is significantly skewed. A skewness between -0.5 and 0.5 indicates a fairly symmetric distribution, skewness in the range (-1, -0.5) and (0.5, 1) indicates moderately skewed data, and skewness <-1 or >+1 indicates a highly skewed distribution. ^$ indicates kurtosis is significant. A large, positive kurtosis indicates a leptokurtic distribution (high peak and skinny tails), whereas a small kurtosis (<0) indicates a platykurtic distribution (low peak and heavy tail). Values of skewness and kurtosis close to zero indicate a normal distribution.