Data Analysis for Decision Making: Tourism Sector Report and Analysis

This report provides a comprehensive analysis of data within the tourism sector, focusing on hospitality and accommodation services. The dataset comprises 50 observations with ten variables, including Bord Failte ID, category, star rating, number of beds, guests, and revenue. The report explores both discrete and continuous random variables, probability distributions (Poisson and normal), and descriptive statistics, including measures of central tendency (mean, mode, median) and dispersion (standard deviation, range, interquartile range). Inferential statistics, such as hypothesis testing and confidence intervals, are also examined. Furthermore, the report investigates the relationships between variables using regression analysis. The analysis provides insights into the tourism sector, demonstrating how data-driven methods can inform effective decision-making.