As big data continues down its path of growth, there is no doubt that these innovative approaches  utilizing NoSQL database architecture and Hadoop software  will be central to allowing companies reach full potential with data.
This is a predictive confidence interval in the sense that if one uses a quantile range of 100p%, then on repeated applications of this computation, the future observation X n + 1 {\displaystyle X_{n+1}} will fall in the predicted interval 100p% of the time.
The above data can be organised into a frequency distribution (or a grouped data) in several ways. One method is to use intervals as a basis. The smallest value in the above data is 8 and the largest is 34. The interval from 8 to 34 is broken up into smaller subintervals (called class intervals).