This project presents a statistical analysis of residential property data from a non-capital city in Australia. The analysis is divided into two parts, focusing on sample data selected based on the student ID. The study examines four variables: price, number of bedrooms, number of bathrooms, and property type (house or unit). The first part involves a preliminary analysis, including constructing a frequency histogram for the price of two and three-bedroom properties, descriptive statistics, and a box plot comparing house and unit prices. A scatter plot illustrates the relationship between the number of bedrooms and the property price. The project employs statistical tools to explore data distribution, central tendency, and relationships between variables, providing insights into the property market.