Statistics is Easy by Manpreet Singh Katari (.PDF)
File Size: 6.9 MB
Statistics is Easy: Case Studies on Real Scientific Datasets by Manpreet,Sudarshini Tyagi, Singh Katari,Dennis Shasha
Requirements: .PDF reader, 6.9mb
Overview: Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement. Drawing conclusions in the face of such noise entails a statistical analysis.
Parametric statistical methods assume that the data is a sample from a population that can be characterized by a specific distribution (e.g., a normal distribution). When the assumption is true, parametric approaches can lead to high confidence predictions. However, in many cases particular distribution assumptions do not hold. In that case, assuming a distribution may yield false conclusions.
Genre: Non-Fiction > Tech & Devices
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