What Is the Normalisation Process in CUET UG 2025?

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The normalisation process is a statistical method used by the National Testing Agency (NTA) to ensure fairness and accuracy in scoring when an examination is conducted in multiple shifts with potentially varying levels of difficulty.

Since the CUET UG 2025 exam was held over several days and sessions, candidates may have faced different question papers with unequal challenges.

To address this and maintain a level playing field, the NTA applies the normalisation process, which adjusts scores based on percentile rankings and interpolation techniques. This ensures that all candidates are evaluated on an equal scale, regardless of the session in which they appeared.

CUET UG 2025 Result: Understanding the Normalisation Process

The CUET UG examination took place between May 13 and June 4, 2025, across multiple shifts, accommodating more than 13.5 lakh candidates.

Because the exam was conducted in different shifts and difficulty levels may vary between sessions, normalisation of scores is used to ensure fairness.

The purpose of this process is to balance out any variations in difficulty so that no candidate is unfairly advantaged or disadvantaged based on the shift they appeared in.

What Is the Normalisation Process in CUET UG 2025?

The normalisation process involves several steps.

First, raw scores (the actual marks obtained by candidates) are collected. These are then converted into NTA scores, also known as percentile scores, for each subject conducted over multiple shifts.

Converting Raw Scores into Percentile Scores :

To calculate this percentile score, the following formula is used:

Percentile scores = (B ÷ C) × 100

Where:

A = Candidate’s raw score

B = Number of candidates in the same session who scored less than or equal to A

C = Total number of candidates in that session

Note – In the normalisation formula used to calculate the percentile score, the variable A (raw score) is not directly part of the formula itself. It helps identify B (the number of candidates who scored less than or equal to a given score), but it doesn’t appear in the calculation.

The raw scores of all candidates within a particular test session are ranked in descending order. The percentile score for each candidate is determined accordingly.

For example, if a candidate’s raw score is greater than or equal to 80% of other candidates in the same session, their percentile score will be 80.

If a candidate scores 125 in a session of 40,626 students, and 36,254 students score less than or equal to 125, then:

Percentile = (36,254 ÷ 40,626) × 100 = 89.2384187

This percentile value is calculated up to seven decimal places for precision.

How Are Normalised Raw Scores Calculated?

After percentile scores are determined, candidates are ranked in descending order based on these percentiles.

Then, using a statistical method called linear interpolation, the NTA estimates a third value known as the interpolated mark.

This interpolated mark represents the score a candidate would be expected to get if they had taken the exam more than once in different shifts.

Let’s say Student A took the CUET UG exam for a particular subject in Session 1, and Student B took the same subject in Session 2. Each student only has a raw score for the session they actually appeared in — meaning A has no score recorded for Session 2, and B has no score for Session 1.

Since students don’t take the test in all sessions, the next step is to estimate what their score might have been in the other sessions they didn’t attend. This is where a statistical method called linear interpolation is used.

The actual raw marks are then divided by this interpolated mark to generate the normalised raw score.

This method helps adjust for inconsistencies in exam difficulty across sessions and ensures a level playing field for all candidates.

What Are Interpolated Marks?

Interpolated marks are estimated scores that show how much a student would have likely scored if they had taken the same exam in another shift. These marks are calculated using a method called linear interpolation, which helps adjust for differences in difficulty levels between sessions.

Example of Interpolation Marks

Let’s say, Student A appeared in Session 1 and scored 140 marks.

In Session 1, a score of 140 corresponds to a percentile of 95.0000000.

Now we want to find out: If Student A had taken the exam in Session 2, what score would match the 95th percentile there?

Let’s assume that in Session 2, the 95th percentile corresponds to 135 marks.

That means, Student A’s interpolated score in Session 2 would be 135.

We now know:

Real score in Session 1: 140

Interpolated score in Session 2: 135

If there were more sessions, the same method would apply to calculate interpolated scores for each one.

Final Step: Averaging

To find the normalised score, we average the scores:

If there are only 2 sessions:

(140 + 135) / 2 = 137.5

If there are more sessions, you average the real and interpolated scores across all of them.

Why Do We Need Interpolated Marks?

Since the CUET UG exam is conducted in multiple shifts and each shift may have a different level of difficulty, directly comparing raw scores can be unfair.

To solve this, NTA estimates what a candidate’s score might have been in another shift by using percentile scores and score distribution from all shifts.

Use of Normalised Scores in Admissions

Universities have been advised to consider only the normalised raw scores while preparing merit lists.

According to the NTA, this system provides a reliable way of comparing scores even when candidates take the same subject in different shifts with varying levels of difficulty.

The NTA had released provisional answer keys on June 17, 2025, and candidates were allowed to submit challenges or objections until June 20, 2025.

The final answer key and results will be published after evaluating all the objections submitted during this window.

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Visit the official website to check the results – cuet.nta.nic.in

Also read –

CUET UG result 2025: Expected date, answer key and past trends.

CUET UG result 2025: Expected date, answer key and past trends.