Confidence Intervals
Confidence Intervals and Levels:
A confidence interval gives the percentage probability that an estimated range of possible values in fact includes the actual value being estimated
Confidence Intervals in Business:
Businesses benefit from the use of statistics in estimating or predicting future events
A confidence interval helps a business evaluate the reliability of a particular estimate
Because no estimate can be 100% reliable, businesses need to know how confident they should be in their estimates and whether or not to act on them
Examples of Confidence Intervals:
Quality management:
Percentage reliability of machines
The chance that quality control samples will detect issues
Market research:
Statistical estimates for sales forecasting
Reliability of data from customer surveys
Risk management and contingency planning:
Risks of sales forecasts not being achieved
Scenario planning for competitor actions
Budgeting and forecasting:
Likely range of revenues and costs based on key assumptions
Sales forecasts to support new product launches