In our Assignment, we’ve been reviewing the formulas for variance and standard deviation, knowing that the sample version divides by n−1 while the population version divides by n.
My group member Adrian and I were discussing the practical application of these formulas, especially given that financial markets generate numerous prices throughout the day (open, high, low, close, and many more intra-day observations).
Could you describe a situation or provide an example from financial practice where using the population formula (dividing by n) would be appropriate? In other words, under what circumstances might we consider our dataset of prices to represent the entire population rather than just a sample?
Looking forward to your insights!