3/14-3/20 Chapter 1: Introduction to Statistics Chapter 2: Charts and Graphs 3 3/21-3/27 Chapter 3: Descriptive Statistics 4 3/28-4/3 Chapter 4: Probability Exam 1 (covers Chapters 1, 2, 3) 5 4/4-4/10 Chapter 5: Discrete Distributions Chapter 6: Continuous Distributions (part 1) 6 4/11-4/17 Chapter 6: Continuous Distributions (part 2) Report OECD Directorate General for Development and Cooperation – EuropeAid (DEVCO) & Foreign Policy Instruments Service (FPI) None 2012 OECD_Ethiopia_2012_Ex-post-evaluation-of

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- Chapter 5, Chapter 6, Chapter 7 and Chapter 8 (8.1 and 8.2) Comments: The materials from Chapter 1 to Chapter 4 are not related to Chapter 5-8. There is no need to know the materials from Chapt.1 to 4 (the classical theory). Topics: This course will cover the modern theory of partial differential equations. |
- In this chapter, you’ve studied the term basic regression, where you fit models that only have one explanatory variable. In Chapter 6, we’ll study multiple regression, where our regression models can now have more than one explanatory variable! In particular, we’ll consider two scenarios: regression models with one numerical and one categorical explanatory variable and regression models with two numerical explanatory variables. |
- Chapter 5 Measures of Dispersion 5.1 Introduction 5.2 Methods of computing dispersion 5.3 Range 5.4 Mean Deviation 5.5 Variance 5.6 Coefficient of Variation(C.V.) 5.7 Percentile 5.8 Quartiles and interquartile range 5.9 Skewness moments and Kurtosis 5.10 Kurtosis. Chapter 6 Correlation - Regression 6.1 Introduction 6.2 Correlation |
- Chapter 6-Topics in Univariate Estimation 165 6.1 Introduction 165 6.2 Estimating the Hazard Function 166 6.3 Estimation of Excess Mortality 177 6.4 Bayesian Nonparametric Methods 187 6.5 Exercises 198

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