This assignment analyzes the influence of coffee consumption on the test scores of university students. The analysis begins with data preprocessing, including handling missing values, followed by descriptive statistics to understand the variables such as age and test scores before and after coffee intake. Normality tests, using histograms and Q-Q plots, are performed to determine the appropriate statistical tests. The study formulates two research questions: whether coffee intake significantly affects test scores and if age correlates with test scores. A paired t-test is used to compare scores before and after coffee consumption, revealing a strong positive correlation and a significant difference in scores, leading to the rejection of the null hypothesis. Pearson's correlation is employed to examine the relationship between age and test scores after coffee intake, indicating a significant negative correlation. The study concludes that coffee intake significantly influences student scores and that older students tend to have lower scores after consuming coffee. The analysis includes detailed statistical outputs, hypothesis formulation, and interpretation of results, supporting the research objectives.
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