By TN Education Desk
The National Testing Agency (NTA) will release the results of Common University Entrance Test (CUET) 2025 on July 4, the Agency announced on July 2. The result which will be released on Friday will show the normalised scores of each candidate. But what is the ‘normalization process’ and why does NTA use it? We can explain… Also Read | CUET Result 2025 LIVE What is Normalised Score? Since CUET UG is conducted for several subjects on different days and multiple session, it will give rise to multiple percentiles for each group of students. Thus, it becomes difficult to use only percentiles. NTA’s solution to this is the use of a method called the 鈥榚quipercentile method鈥, in which normalised marks of each candidate are calculated using the percentiles of each group of students in a given session across multiple days for the same subject. Process of Normalisation Here’s how normalised scores are calculated: Also Read | CUET UG 2025: What is Test Result Link Released by NTA? Step 1: Convert Raw Scores into Percentile Scores. The percentiles are calculated separately for each shift. 1. Record the number of candidates who have appeared in a shift. Denote this number by N. 2. Sort all the candidates in one shift in decreasing order of their marks. 3. Note the raw marks for each candidate. Suppose this is denoted by T. Count the number of candidates in that shift whose raw scores are less than or equal to T. Denote this number by m. 4. The percentile score for this candidate is then calculated as: P = m/N*100 Step 2: Pull the percentiles to the marks scale for each session to get Normalised Score. 鈥 The data across all sessions tabulated at the end of step 1 is collated into a single table. 鈥 The columns for the shift-wise raw score should be kept separate. 鈥 All the records are then sorted in decreasing order of the percentiles. Step 3: Calculation of the Normalised Score Now for each subject, there is a score assigned to each percentile value for each session. The Normalised score, Z, corresponding to a percentile value P, is calculated as: Where 饾憿饾惔, 饾憿饾惖, 鈥 鈥 鈥 . . 饾憿饾憽 denote the raw scores corresponding to the percentile P in each of the different sessions. The above method is based on the work: 鈥淣ormalization of marks in multi-session examinations鈥, Abhay G. Bhatt et al, CURRENT SCIENCE, VOL. 118, NO. 1, 10 JANUARY 2020.