Course

Introduction to statistics and its applications in agriculture. Graphical representation of data, measures of central tendency & dispersion, definition of probability, addition and multiplication theorem (without proof). Simple problems based on probability. Binomial & poisson distributions, definition of correlation, scatter diagram. karl pearson’s coefficient of correlation. Linear regression equations. Introduction to test of significance, one sample & two sample test t for means. Chi-Square test of independence of attributes in 2 ×2 contingency table. Introduction to analysis of variance and analysis of one way classification.