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About Statistical Analysis: 1 Data Analysis: Mean, Variance, Boxplots
This document discusses statistical analysis and probability distributions. It contains the following key points: 1) It describes how to calculate common statistical measures like the mean, variance, standard deviation, and median of a data set. It provides an example of analyzing exam score data for two subjects. 2) It introduces box plots and how to draw them to visually analyze data distribution. It shows an example of comparing exam score data using box plots. 3) It defines common probability distributions like the uniform, Gaussian, and Laplace distributions. It discusses generating histograms from data and fitting probability distributions to approximate the underlying distribution. 4) It describes how to generate random variables that follow different probability distributions like uniform, Gaussian, Bernoulli
Detailed Information
Author: | ['Adithya Rao'] |
---|---|
Publication Year: | 2020 |
Pages: | 4 |
Language: | English |
Format: | |
Price: | FREE |
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