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.
Finding midpoint in class interval to calculate mean for cumulative frequency graph. up vote 1 down vote favorite In a cumulative frequency graph (or histogram), the data is often given in class intervals. To calculate the estimated mean of the data, the formula is: (SUM m*f)/(SUM f) where m = midpoint of the class intervals and f = frequency. However, the main point of this question is, how do I calculate the midpoint of a class interval? Example 1