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Step-by-Step Guide to Running WAN-14b TheoryCraft 2.5 Locally

Are you an aspiring Data Scientist or Statistics student eager to learn about theoretical distributions? The WAN-14b TheoryCraft framework is the perfect tool to deepen your understanding of distributions and model validation. This step-by-step guide will walk you through the process of running WAN-14b TheoryCraft 2.5 locally, so you can explore various statistical distributions and hypotheses on your own computer.

In this comprehensive article, we will cover the following topics:

1. Understanding WAN-14b TheoryCraft
2. System Requirements
3. Installing Dependencies
4. Cloning the Repository
5. Setting Up the Environment
6. Running the Software
7. Generating Graphs and Tables
8. Extending Your Analysis
9. Conclusion

Let's dive into each step in detail to ensure a smooth and efficient installation process.

Understanding WAN-14b TheoryCraft

WAN-14b TheoryCraft is an open-source learning tool developed to teach statistics students about the fundamentals of theoretical distributions. The software allows users to generate visual representations of datasets, validate distributions, and test hypotheses. Be it the Normal, Poisson, or Chi-Squared distribution, WAN-14b TheoryCraft offers an extensive range of distribution models to study.

System Requirements

Before proceeding with the installation, ensure that your system meets the following requirements:

• Operating System: Compatible with Windows, macOS, and Linux distributions
• Processor: 2+ GHz processor
• RAM: 8 GB minimum
• Storage: 10 GB free disk space
• Python: Version 3.7 or higher

Installing Dependencies

WAN-14b TheoryCraft relies on several Python libraries, which you must install beforehand. Open your terminal or command prompt and enter the following commands to install the dependencies:

pip install numpy matplotlib pandas scipy seaborn

Cloning the Repository

1. First, visit the official GitHub repository for WAN-14b TheoryCraft (https://github.com/theorycraftGroup/wan14b_tc).
2. Click on the green 'Code' button to get the repository URL.
3. Use the git clone command in your terminal to download the repository:

git clone https://github.com/theorycraftGroup/wan14b_tc.git

Setting Up the Environment

1. Navigate to the cloned repository f

older:

cd wan14b_tc

2. Set up a virtual environment to isolate the project's dependencies. Open a new terminal and run:

python3 -m venv wan14b_env

3. Activate the virtual environment:

   • On Windows:

wan14b_env\Scripts\activate

• On Unix or MacOS:

source wan14b_env/bin/activate

4. Install all dependencies from the requirements.txt file in the repository:

pip install -r requirements.txt

Running the Software

1. With the virtual environment activated, run the WAN-14b TheoryCraft software:

python3 main.py

2. The software will launch in your default browser, where you can interact with various modules, generate graphs, run simulations, and test hypotheses. The homepage offers a user-friendly interface with tutorial guides to help you navigate the tool's features.

Generating Graphs and Tables

One of the core features of WAN-14b TheoryCraft is its ability to generate high-quality graphs and tables. This enables users to visualize and analyze the behavior of various theoretical distributions. To create a graph:

1. Select a distribution module from the software's main menu.
2. Choose the desired distribution (e.g., Normal or Poisson) and specify the parameters (e.g., mean and standard deviation for Normal distribution).
3. Click on the 'Generate Graph' button to visualize the distribution's probability density function (PDF) or cumulative distribution function (CDF).

Extending Your Analysis

To extend your analysis, you can perform Monte Carlo simulations, hypothesis tests, and confidence interval analyses. These features allow you to gain deeper insights into the statistical properties of the distributions and develop a robust understanding of inferential statistics.

The WAN-14b TheoryCraft manual provides detailed documentation on extending analysis, including examples and code snippets for advanced users.

Conclusion

By following this step-by-step guide, you have successfully installed and started using WAN-14b TheoryCraft on your local machine. The software offers a wealth of modules and features to help you learn about theoretical distributions and model validation. We encourage you to explore each module and perform extensive analysis to enhance your statistical knowledge. Happy learning, and may your statistical endeavors lead to enlightening insights!