Introduction This final section focuses on forecasting, applied business mathematics, and real-world problem-solving , where companies expect Business Analysts to use math and statistics to drive decisions. For roles offering ₹12 LPA and above, employers test not just formulas — but your ability to interpret numbers in business contexts like sales forecasting, ROI analysis, and KPI tracking. Each question below is designed to strengthen your logical thinking, improve your co

Introduction Once you understand descriptive statistics and probability, the next step in your analytical journey is learning how to test assumptions and model business relationships . That’s where hypothesis testing, regression, and forecasting  come in. In Part 2  of our series, we dive deep into the methods that Business Analysts use to validate ideas, uncover patterns, and make predictions . You’ll learn about null and alternative hypotheses, p-values, t-tests, ANOVA, reg

Introduction Mathematics and Statistics are the foundation of every Business Analyst’s problem-solving  toolkit. Whether you’re analyzing sales data, customer behavior, or market trends, these concepts help you translate raw numbers into meaningful insights. In Part 1 of our Top 100 Mathematics & Statistics Interview Questions for Business Analysts (12 LPA Ready)  series, we’ll focus on Descriptive Statistics and Probability  — the building blocks of analytical thinking. This

Data Science and why you should learn it.