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https://github.com/mysftz/probability-distribution-report

LaTeX written report for the analysis of Probability Distribution for a submission towards my bachelors of science degree. Python files are linked below.
https://github.com/mysftz/probability-distribution-report

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LaTeX written report for the analysis of Probability Distribution for a submission towards my bachelors of science degree. Python files are linked below.

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[![alt text](https://github.com/Mysftz/Mysftz/blob/main/assets/READMEHeader.jpeg?raw=true)](https://github.com/Mysftz)
# Probability Distribution Report
[![GitHub][GitHub-shield]](https://github.com/Mysftz/probability-distribution-report)
[![Contributors][contributors-shield]](https://github.com/Mysftz/probability-distribution-report/graphs/contributors)
[![Forks][forks-shield]](https://github.com/Mysftz/probability-distribution-report/network/members)
[![Stargazers][stars-shield]](https://github.com/Mysftz/probability-distribution-report/stargazers)
[![Issues][issues-shield]](https://github.com/Mysftz/probability-distribution-report/issues)
[![License][license-shield]](https://github.com/Mysftz/probability-distribution-report/blob/main/LICENSE.txt)


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Table of Contents



  1. About The Project


  2. Usage

  3. License

  4. Other Projects

  5. Contact

## About The Project
### Introduction

The main aim of this experiment is to evaluate and prove the relation of statistical data against physically collected data in regards to three types of probability distributions: the Binomial, the Normal (Gaussian) and the Poisson distributions. Within this experiment, three main short physical experiments will take place to prove the hypothesis, and show connections between each type of distribution. The overall analysis of the data collected in this report shows a connection between the Binomial and Normal (Gaussian) distributions as well as a strong correlation between the statistical and physical data, this report will also outline the only error involved was human error as this experiment will mainly be done using computer simulations and programming software.

Analyzing the results which were concluded proves a strong correlation between statistical data and physical data, in each three experiments, the statistical data matched the physically collected data. Even thought this experiment was conducted fairly and mainly using computer simulations and the programming software "Spyder" Python 3.6 so their was no error to be calculated for such operations. The only error found and derived was from human error where the users had an impact on the ball bearings falling down the board in Task 1 - Data Taking, this was to be expected as this short experiment relies completely on human interference but it is unclear and cannot be calculated the damage it has done in terms of the fairness of this experiment overall.

In conclusion, with respect to the purpose of this report, the experiment proved that their is a strong connection between each of the 3 probability distributions statistical data and physical data. In each short experiment, it was proved that the statistics match the physical data collected from the experiment, this is highlighted throughout Section \ref{Results Discussion Section}. The experiment was kept as fair and un-bias to promote true variation in results to fully verify the implied hypothesis of this experiment, the only error obtained within this experiment is truly human error which cannot be calculated but can be taken into account.

### Built With

LaTeX, Overleaf, BibTeX

### Other Infomation

LaTeX Report: https://github.com/Mysftz/probability-distribution-report
Python Files: https://github.com/Mysftz/probability-distribution

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## Usage

This report was submitted for the degree of a Bachelors of Science in Astronomy, Space Science and Astrophysics at the University of Kent in March 2018.

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## License
Distributed under the CC-BY-SA-4.0: Creative Commons Attribution Share Alike 4.0 International License. See `LICENSE.txt` for more information.

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## Contact

GitHub: [@Mysftz](https://github.com/Mysftz)  ·  Portfolio: [Website](https://mysftz.github.io)  ·  LinkedIn: [@lrgtomaszewski](https://www.linkedin.com/in/lrgtomaszewski/)  ·  Instagram: [@Mysftz](https://www.instagram.com/mysftz/)  ·  Twitter: [@MysftzUK](https://twitter.com/MysftzUK)

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