For pharmaceutical powders it is unusual to be completely monosized as they are frequently processed by milling or precipitation and hence they contain range of particles with different shapes and sizes. These factors of solid dosage form i.e. particle size and shape are known to alter the product performances like content uniformity, characteristics, solubility, stability and consequently therapeutic efficacy along with its pharmaceutical elegance and product performance. For better handling of manufacturing process and other parameters it is important to determine the particle size distribution (PSD) of pharmaceutical powders. PSD is often described by log-normal distribution; this single parameter is stastically insufficient. Inter Quartile Coefficient of Skewness (IQCS) and Coefficient of kurtosis (β2) values of powder samples were calculated and then subjected to linear regression. Correlation is made for both the stastical parameters. Thus establishing a correlation between the two parameters may be used as an additional validation parameter to quantitate the particle size distribution data for set of powders and may serve as useful tool for pharmaceutical processing. Drug development practitioners can adopt for information purpose only with the objective of developing knowledge space on utility, variability and robustness of chosen approach. In the present work, four dosage forms (microspheres, niosomes, solid dispersions and polymorphs) were prepared with variable process parameters and were compared for IQCS and β2 with in vitro dissolution studies. IQCS and β2 were calculated by using a simple computer program developed by us and reported.