Statistical Analysis of Cruise Liner Data: Report and Findings

This report presents a statistical analysis of a cruise liner dataset, investigating relationships between variables such as ingredient quantity, payment amount, ship type, and country of origin. The analysis includes scatter plots, histograms, and hypothesis testing to determine statistical significance. The report calculates z-scores, confidence intervals, and p-values to support conclusions about the relationships between variables. It explores demographic variables and utilizes data summarization techniques. The report includes discussions on the connections between different parts of the analysis and the lessons learned from data summarization, along with comments on the format and presentation of the report, and provides references to support the statistical methods used.