This report analyzes a dataset of UK transport spending over ten months, employing various statistical methods. It begins by presenting the data in both tabular and graphical formats, including bar and pie charts. The report then calculates and interprets the mean, median, mode, range, and standard deviation of the dataset. Furthermore, it derives a linear forecasting model to predict spending for future months, specifically months 14 and 16. The analysis includes detailed steps for each calculation and concludes with insights into the data trends and potential applications of the findings. The report references sources for data collection and adheres to the assignment brief provided by the London School of Commerce in association with the University of Suffolk for the BABS Foundation Level module in Numeracy and Data Analysis.
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