I have an Excel file from a medical study that compares a standard-care cohort with an intervention group. There are roughly ten specific questions I need to answer, and each hinges on pulling clear metrics from the spreadsheet, then laying out the findings side-by-side for the two groups. The questions touch on both continuous variables (think blood pressure, glucose, length of stay) and categorical outcomes (yes/no events, stage classifications, readmission flags). I need the numbers that let me tell a concise, statistically sound story—means or medians with spreads for the continuous data, counts and percentages for the categorical data, plus any basic significance tests that confirm whether differences are meaningful. Here’s what I’m looking for you to return: • A clean summary table that pairs the intervention results with the standard-care results for every variable involved in the ten questions. • The test statistics, p-values and confidence intervals where appropriate. • A short, plain-language write-up (bullet or paragraph form is fine) that directly answers each of the ten questions so I can drop it into a report. You may use Excel functions, R, Python (pandas, SciPy, statsmodels) or whichever tool you’re fastest with—just note the method so I can reproduce it later if needed. The raw data stay on my end; I’ll supply a de-identified copy as soon as we start.