This assignment delves into statistical analysis within a financial context, focusing on real estate market data. The student conducted a comprehensive analysis, utilizing various statistical techniques such as regression analysis, t-tests, and correlation to examine the relationship between market price and various factors like land size, age of the house, and Sydney price index. The assignment includes descriptive statistics, scatter plots, and multiple regression models to determine the strength of relationships between variables and predict market prices. The student also interprets the results, evaluates the goodness of fit of different models, and performs hypothesis testing to draw conclusions about the data. The analysis is supported by Excel-based calculations and interpretations, and the results are presented in a clear and concise manner. The assignment demonstrates the student's ability to apply statistical methods to financial data for decision-making and to communicate their findings effectively.