Vinod KumarMishra, Baishali2019-01-072019-01-072018-06http://krishikosh.egranth.ac.in/handle/1/5810089182The object of this study was to analyze the soil characteristics (pH, EC, OC, Nitrogen, Phosphorus, Potassium, Sulphur, Maganese, Iron, Zinc, Copper and Boron) data through Distribution fitting, ANOVA, Multiple Correlation and Regression analysis and Path coefficient analysis. Secondary data on the above said soil characteristics of Mirzapurdistrict were analyzed with the help of different softwares. Different soil characteristics are found to follow different best fitted distributions. Average soil characteristic contents are found to be significantly different in all tehsils and also at different elevation ranges. pHhas shown significant positive correlation with Sulphur and Boron and significant negative correlation with Nitrogen, Maganese and Iron. EC has shown significant and positive correlation with Potassium, Sulphur and Boron and significant negative correlation with Iron, Maganese and Zinc. Moreover, OC is found to have positive and significant correlation with all the nutrients except Nitrogen. Path coefficient analysis reveals that EC, OC, Sulphur, Copper and Boron have positive direct effects on soil pH and remaining have negative direct effects on soil pH. Multiple Linear Regression Models are developed for estimating soil properties (pH, EC, OC) on the basis of given values of soil nutrients. These models are found to be quite efficient for the said purpose on the basis of large value of R2and small value of Root Mean Square Error.ennullThesis