**Introduction to Randomness and Statistics**

by Alexander K. Hartmann

**Publisher**: arXiv 2009**Number of pages**: 95

**Description**:

This text provides a practical introduction to randomness and data analysis, in particular in the context of computer simulations. At the beginning, the most basics concepts of probability are given, in particular discrete and continuous random variables. The text is basically self-contained, comes with several example C programs and contains eight practical exercises.

Download or read it online for free here:

**Download link**

(2.4MB, PDF)

## Similar books

**Basic Data Analysis and More: A Guided Tour Using Python**

by

**O. Melchert**-

**arXiv**

In these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations (aka sequence of random experiments).

(

**9008**views)

**Introduction to Probability Theory and Statistics for Linguistics**

by

**Marcus Kracht**-

**UCLA**

Contents: Basic Probability Theory (Conditional Probability, Random Variables, Limit Theorems); Elements of Statistics (Estimators, Tests, Distributions, Correlation and Covariance, Linear Regression, Markov Chains); Probabilistic Linguistics.

(

**7910**views)

**Theory of Probability: A Historical Essay**

by

**Oscar Sheynin**-

**arXiv.org**

This book covers the history of probability up to Kolmogorov with essential additional coverage of statistics up to Fisher. The book covers an extremely wide field, and is targeted at the same readers as any other book on history of science.

(

**2079**views)

**Probability, Statistics and Stochastic Processes**

by

**Cosma Rohilla Shalizi**

Contents: Probability (Probability Calculus, Random Variables, Discrete and Continuous Distributions); Statistics (Handling of Data, Sampling, Estimation, Hypothesis Testing); Stochastic Processes (Markov Processes, Continuous-Time Processes).

(

**6877**views)