Course Description & Objectives:
- Introduction to Qualitative and Quantitative Statistical Techniques, Diagrammatic and Cartographic Techniques of Data Representation and Interpretation.
- Estimation of Missing Values, Range and Frequency Distribution, Graphical Presentation of data, Test of data Homogeneity and adequacy using Krustal Walis Test and Man Whitney U test.
- Measures of Central Tendency, and Data Distribution.
- Coefficient of Spearman and Kurtosis, Normal and Binormal Distribution.
- Measures of Data Variation in Populations and Samples, Elementary Probability Theory and Relationship to Hypothesis.