Post #2568

✅Data Analyst Interview Questions with Answers: Part-6 51. Difference between mean and median? Mean is the average. Median is the middle value. Example: Salaries - 20k, 22k, 25k, 30k, 1,00k Mean = 39.4k (skewed) Median = 25k (better representative) 52. What is standard deviation? It measures how spread out data is from the mean. Example: Avg sales = ₹10,000 Std dev = ₹500 → stable Std dev = ₹5,000 → volatile 53. What is variance? Square of standard deviation. Shows data spread mathematically. 54. What is correlation? Measures relationship between two variables. Range -1 to +1 Example: Ad spend vs sales = 0.8 → strong positive correlation. 55. Difference between correlation and causation? Correlation does not mean one causes the other. Example: Ice cream sales and drowning both increase in summer. 56. What is an outlier? A value far from others. Example: Order values - 500, 700, 800, 50,000 57. What is sampling? Using a subset of data to represent full dataset. Example: Survey 1,000 customers instead of 1 million. 58. What is distribution? Pattern showing how data values are spread. Example: Normal, skewed, uniform distributions. 59. What is skewness? Measures asymmetry of data. Example: Income data usually right-skewed. 60. When do you use median over mean? When data has outliers. Example: House prices, salaries. Double Tap ♥️ For Part-7