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• Inferential Statistics Introduction
• Deductive and Inductive Approaches
• Review of Sampling Theory
• Data and Empirical Analysis Introduction
• Data Collection and presentations
• Data Analysis and software Packages
• Probability Theory Basics
• Probability Theory Basics (Continued)
• Hypothesis Testing Basic Concepts and Process
• Chi square Distribution and Statistical Inference
• One Sample and Two Sample Test of Significance
• Correlation and Covariance
• Regression Analysis : Parameter Estimation and Overall Goodness of Fit Statistics
• Regression Analysis: Testing the Significance Coefficients of Regression Equation.
• Analysis of Variance- One way ANOVA
• Analysis of Variance: Two ANOVA