Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/raunaksingh9800/the-coin-flip-frenzy
If you flip a coin 5 times, what is the probability of getting at least 3 heads
https://github.com/raunaksingh9800/the-coin-flip-frenzy
Last synced: about 1 month ago
JSON representation
If you flip a coin 5 times, what is the probability of getting at least 3 heads
- Host: GitHub
- URL: https://github.com/raunaksingh9800/the-coin-flip-frenzy
- Owner: raunaksingh9800
- Created: 2024-01-13T14:59:39.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-01-13T15:20:37.000Z (12 months ago)
- Last Synced: 2024-01-14T00:21:56.170Z (12 months ago)
- Language: C++
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# The Coin Flip Frenzy
If you flip a coin 5 times, what is the probability of getting at least 3 heads## Clone The Repo
`git clone https://github.com/raunaksingh9800/The-Coin-Flip-Frenzy`## Description
Welcome to the Coin Flip Frenzy! This repository houses a C++ program that simulates multiple coin flips, tracking the outcomes and revealing the probabilities of different events, such as getting at least 3 heads in 5 flips. Engage in hands-on probability exploration with this interactive tool!
## Features
Clear and concise C++ code with detailed comments for easy understanding and modification.
User-friendly interface to specify the number of flips and desired outcomes.
Comprehensive output displaying the results of overall statistics.
Customizable simulations to explore different probability scenarios.
## UsageClone this repository to your local machine.
Compile the C++ program using a C++ compiler.
Run the executable, providing the number of flips and desired outcomes as input.
Observe the results and engage with probability concepts!
## Key InsightsWitness how probability patterns emerge through multiple simulations.
Experiment with different parameters to observe how probabilities change.
Gain a deeper understanding of random events and their underlying distributions.
## Further ExplorationExtend the program to explore more complex probability questions.
Visualize the results using graphs or charts to enhance understanding.
Compare theoretical probabilities with simulation results to assess accuracy.
## ContributingFeel free to contribute to this project by:
Reporting issues or suggesting improvements.
Submitting pull requests with code enhancements.
Sharing your insights and experimentations.