This data analysis project, completed for Pace University's Math 117 course, delves into various statistical concepts and their practical applications. The project begins with an analysis of binomial and normal distributions, calculating probabilities, and visualizing them using Excel. It then transitions to a real-world application, focusing on the stock market, specifically analyzing Facebook and Amazon. The project includes the creation of box plots, histograms, and scatter plots to visualize stock price trends. Further analysis involves correlation coefficients, regression analysis to predict stock prices, and hypothesis testing to compare variances. The Jarque-Bera test is applied to assess the normality of stock returns. Finally, the project uses multiple regression analysis to predict future stock prices based on historical data. The findings are presented with detailed explanations and interpretations of the results.
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