In forecasting, what does a higher standard deviation imply?

In forecasting, what does a higher standard deviation imply?

• A. Greater variability in demand
• B. Higher average demand
• C. Better forecast accuracy
• D. Lower risk

Answer: (A)

Standard deviation measures how spread out demand is around its average. When it’s higher, demand data fans out more, so demand is more variable. That increased variability translates to greater uncertainty in forecasts and larger potential forecast errors, since outcomes can diverge more from the expected value. It doesn’t reflect how big the average demand is (that’s the mean), and it doesn’t imply better forecast accuracy (more variability typically makes accuracy harder). It also signals higher risk, because a wider spread in possible demand means more possible scenarios to plan for.

Standard deviation measures how spread out demand is around its average. When it’s higher, demand data fans out more, so demand is more variable. That increased variability translates to greater uncertainty in forecasts and larger potential forecast errors, since outcomes can diverge more from the expected value. It doesn’t reflect how big the average demand is (that’s the mean), and it doesn’t imply better forecast accuracy (more variability typically makes accuracy harder). It also signals higher risk, because a wider spread in possible demand means more possible scenarios to plan for.