📊 Hypothesis Test Data Analysis (Go)

This project tests a real-life hypothesis using basic statistical analysis in Go:

Hypothesis: "Fiction books are cheaper than Non Fiction books."

We perform a z-test on book price data from Kaggle to confirm or reject this hypothesis using real-world data.

---

🗂 Project Structure

HypothesisTestDataAnalysis/
├── cmd/
│   └── main.go       
├── internal/
│   └── analysis.go 
├── bestsellers with categories.csv
├── go.mod
└── README.md

---

📦 Prerequisites

• Go 1.18 or higher
• Git (optional)
• Dataset: Amazon Top 50 Bestselling Books 2009–2019

---

🔧 Setup

1. Clone the project (or download ZIP):

git clone https://github.com/meruyert4/HypothesisTestDataAnalysis.git
cd HypothesisTestDataAnalysis

🚀 Run the Project

go run cmd/main.go

You should see output like:

📚 Fiction Avg Price: $10.85 (240 books)
📘 Non Fiction Avg Price: $14.84 (310 books)
Z-score: -4.55 → Reject H₀. Fiction books are significantly cheaper. ✅

---

📚 Dataset Citation

Sootla, S. (2020). Amazon Top 50 Bestselling Books 2009–2019 [Data set]. Kaggle. 🔗 https://www.kaggle.com/datasets/sootersaalu/amazon-top-50-bestselling-books-2009-2019

---

📌 Notes

• This project uses population standard deviation.
• Z-score interpretation uses a one-tailed test at 95% confidence (threshold: -1.645).

---