EGN 3443 Lecture Notes - Lecture 1: Observational Study, Royal Institute Of Technology, Simple Random Sample
Document Summary
The discovery of new information in terms of patterns or rules from vast amounts of data. The process of finding interesting structure in data. The process of employing one or more computer learning techniques to automatically analyze and extract knowledge from data. Data scientists can find answers to important questions from many sources of unstructured information. As companies rush to capitalize on the potential of big data, the largest constraint many face is the scarcity of this special talent. And drawing conclusions (making inferences, estimates, decisions, predictions, etc. based on sampled data) A representative sample exhibits characteristics typical of those possessed by the population of interest. Simple random sampling: sample selected from the population in such a way that every different sample has an equal chance of being selected. Stratified random sampling: separating populations into different groups called strata and selecting sample from each strata.