Suppose I explain the following table in my academic paper.
State Average St. Dev. Skewness Kurtosis Fis. Info. CA 1.23 4.56 1.35 2.46 1.47 NY 4.56 7.89 7.91 8.02 2.58 TX 7.89 1.23 3.57 4.68 3.69
The table displays the averages, standard deviations, skewness (?), kurtosis (?), and Fisher information (?) of the states.
(1) I couldn't find both skewness and kurtosis in Cambridge Dictionary, but it seems they are abstract nouns and uncountable. I used averages and standard deviations above as they're countable and each column has three numbers. Should I use skewness and kurtosis, or skewnesses and kurtosises?
(2) Fisher information is another statistic as well. Though there are three numbers in the last column, I can't use Fisher informations as information is uncountable. Despite of the three numbers, should I still just use the Fisher information alongside the averages and standard deviations?
(3) Volatility is uncountable according to Cambridge Dictionary. Suppose there are historical volatility and implied volatility in my paper. Should I use historical and implied volatility, or historical and implied volatilities?
(4) I have multiple implied volatility observations (for example, 0.47, 0.13, 1.42, etc.) in my data set. Should I still use the volatility and avoid the volatilities though there are multiple numbers?
Thanks for your reading.