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Introduction to data analysis: Case studies with iSIKHNAS data Day 1. 1/ 69. Introduction to course. Relevance of data analysis to policy Objectives of course Pre-requisites. Learning approach. Steps in data analysis. Objective Data management Descriptive analysis Hypothesis testing.
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Introduction to data analysis: Case studies with iSIKHNAS dataDay 1 1/ 69
Introduction to course Relevance of data analysis to policy Objectives of course Pre-requisites
Steps in data analysis Objective Data management Descriptive analysis Hypothesis testing
Key concepts for sampling (1) Sampling verse census Bias Sampling variability
Key concepts for sampling (2) Datasets and variables
Key concepts for sampling (3) Distributions
Case study 1: Objectives • Objectives • Exercise 1 • Exercise 2
Case study 1: Data management Download iSIKHNAS data Preserve data
Key concepts on errors • Missing data • Blank cells in data • Missing observations • Incorrect data • Random errors • Systematic errors
Case study 1: Data management Exercises 3: Missing data Exercise 5: Create new data
Key concepts on descriptive statistics • Variable types • Continuous variables • Measures of central tendency • Measures of dispersion
Case study 1: Description of data Exercise 6: Descriptive statistics Exercise 6b: Descriptive statistics without analysis ToolPak Exercise 7: Plotting (histograms)