One Outlier Can Change the Results of a Statistical Analysis, about accurately forecasting of occupancy in hotel industry. Historical data often used for forecasting and there may be spikes in these historical data for demand and revenue that may drive the expectations from corporations and investors. Therefore, identify outliers is an important element in accurately forecasting demand and revenue generation. In your opinion, How can we avoid such outlies when sampling data analysis and developing confidence interval for forecasting the parameters