This report presents a comprehensive analysis of statistical tools and techniques applied to various management scenarios. Task 1 focuses on hypothesis testing to determine significant differences in earnings between men and women in the public and private sectors, utilizing t-tests and analyzing annual growth rates. Task 2 delves into data evaluation, calculating mean, variance, and standard deviation, alongside graphical presentations. Section A provides a detailed report on student performance based on examination scores. Section B involves creating a scatter diagram and line of best fit to describe the relationship between age and weight of babies. Task 3 analyzes delivery numbers, calculates economic order quantity (EOQ), and determines the number of bottles to be delivered by suppliers. Finally, Task 4 uses pictorial presentations to analyze the number of bedrooms in houses and determines price relationships. The report aims to provide insights into data analysis, interpretation, and the application of statistical methods in managerial decision-making, providing a detailed overview of the content.
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