CUET Normalization process 2024 is a way to covert the candidates raw scores into percentile that might occur due to variation in sessions and days. The CUET result 2024 was announced on July 28, 2024 by the NTA.
The CUET Normalization process 2024 converts the raw scores into percentiles up to 7 decimals to resolve any basic irregularities resulting from the marks distribution across different sessions and days. The CUET UG Normalization process 2024 has been cancelled by NTA as both exams will have a single shift for each subject.
However, new notifications related to the CUET normalization process are expected as it was conducted online, i.e., CBT. The CUET exam is used for admission to several undergraduate courses across India.
The CUET exam for the same topic administered on different days and shifts will result in different percentiles for each group of students. The CUET result 2024 was announced on July 28, 2024.
What is CUET Normalization Process 2024?
CUET normalization process 2024 compares the candidates' marks with each other to ensure a fair method is followed to assess their calibre and performance in the exam.
The CUET normalization procedure includes factors such as the number of candidates who have taken the test, difficulty level of the exam, average performance in the exam, and overall distribution of marks.
The National Testing Agency (NTA) implemented the normalization approach in multiple ways to develop a fair and unbiased evaluation of candidates. However, the CUET Normalization Process has been discontinued.
Read More: How to Calculate CUET Score 2024?: Normalization Method
CUET Normalization Process Details 2024
The CUET UG normalization process 2024 is used to score the candidates. The equi-percentile method converts the raw scores obtained by a candidate in the CUET written test. The raw score of each candidate is then compared to the raw marks obtained by all other candidates in the same session.
For example: If a candidate scores 85%, then he or she has obtained more marks than 85% of the candidates in that exam session.
This equi-percentile method is used for every exam session for the same subject. The percentiles of all candidates are then equated and converted into normalized marks.
The percentile score tells us the score a candidate has secured compared to all the other candidates. This means that the topper will score in the highest percentile. The marks between the highest and lowest scores are also converted to appropriate percentiles.
Also Read: CUET Score Vs Percentile
How to Calculate the CUET UG 2024 Marks Normalization Method?
CUET normalization process 2024 checks that each value is on the same scale. In this method, the raw scores obtained by a candidate are divided into a single scale. This process ensures that candidates receive a balanced score irrespective of the exam's difficulty level.
The question of how CUET normalization work is explained in the steps below:
Step 1: Conversion of Raw Scores into Percentile
The authorities use the scores secured by candidates in each shift of the examination to find the percentile of students.
For example, 100 students answered an examination in a given shift. The marks scored by each student are arranged in decreasing order.
One of the students in the class scored 80% out of 100 students. Then, the percentile of this student will be 80%. The percentile of this student with 80% marks would be 80/100=0⋅8.
| CUET 2024 Percentile Score | 100 x {(Number of candidates who appeared in the ‘Session’ with raw score either equal to or less than the candidate)/ (Total number of candidates who appeared in the session)} |
Step 2: Arranging CUET Percentiles
The examination results for each session will be prepared in the form of
- Raw Scores
- Percentiles Scores
Candidates must note that the percentile score is not the aggregate score of the candidate. The Total Percentile Score of all candidates in a session is calculated from the formula given in the table below:
| Total Percentile | 100 x No of Candidates who appeared from the session with a raw score equal to or less than the T1 score / Total Number of candidates who appeared in the session. |
Note: Let T1 be the Percentile Score of the Total Raw Score of that candidate.
Step 3: Calculation using Linear Interpolation
Since a few candidates will take an examination in one shift and others will take another, Candidates for shift 1 will not have raw scores for shift 2. The missing marks of each candidate in each shift will then be calculated using interpolation.
Interpolation estimates the missing marks of students who have already taken a test in one shift and will not appear in the second shift of the same subject.
Example: Suppose a test was held in 4 sessions of examinees as per details, and the distribution of candidates was as follows:
- Session 1: Day 1, Shift 1
- Session 2: Day 1, Shift 2
- Session 3: Day 2, Shift 1
- Session 4: Day 2, Shift 2
| Session | Day/Shift | No of Candidates | Marks | |||
| Absent | Appeared | Total | Highest | Lowest | ||
| Session 1 | Day-1 Shift-1 | 3974 | 28012 | 31986 | 335 | -39 |
| Session 2 | Day-1 Shift-2 | 6189 | 32541 | 38730 | 346 | -38 |
| Session 3 | Day-2 Shift-1 | 6036 | 41326 | 47362 | 331 | -49 |
| Session 4 | Day-2 Shift-2 | 9074 | 40603 | 49677 | 332 | -44 |
| Total (Session 1 to 4) | 25273 | 142482 | 167755 | 346 | -49 | |
CUET Highest Raw and Percentile Score:
All the highest raw scores will have a normalised percentile Score of 100 for their respective session.
| Session | Total Candidates Appeared | Highest Raw Score | Candidates who scored <= Highest Raw Score | Percentile Score |
| Session 1 | 28012 | 335 | 28012 | 100.0000000 [(28012/28012)*100] |
| Session 2 | 32541 | 346 | 32541 | 100.0000000 [(32541/32541)*100] |
| Session 3 | 41326 | 331 | 41326 | 100.0000000 [(41326/41326)*100] |
| Session 4 | 40603 | 332 | 40603 | 100.0000000 [(40603/40603)*100] |
CUET Lowest Raw and Percentile Score:
The percentile score of all the lowest raw scores will depend on the total number of candidates who have taken the examination for their respective sessions.
| Session | Total Candidates Appeared | Lowest Raw Score | Candidates who scored <= Lowest Raw Score | Percentile Score |
| Session 1 | 28012 | -39 | 1 | 0.0035699 [(1/28012)*100] |
| Session 2 | 32541 | -38 | 1 | 0.0030730 [(1/32541)*100] |
| Session 3 | 41326 | -49 | 1 | 0.0024198 [(1/41326)*100] |
| Session 4 | 40603 | -44 | 1 | 0.0024629 [(1/40603)*100] |
Step 4: Calculate the Normalized Marks on a Common Scale
The percentile value of each candidate will be arranged in descending order and will have raw marks and interpolated marks for each shift. The authorities will then calculate the average of the raw marks obtained by candidates in one shift and the marks obtained by them using interpolation in the other shift.
This process will result in the normalized marks for the corresponding percentile of each candidate.
Also Read: CUET Calculation Using Normalization Method
How Does Normalization Affect CUET Score?
CUET normalization process explained: CUET Normalization is a statistical corrective approach to comparing candidate scores uniformly across test sessions. The CUET, which is conducted over multiple days and sessions with different sets of questions, necessitates this technique to ensure a level playing field for all test takers.
The equipercentile technique, which effectively alters scores while considering the varying difficulty levels of different test sessions, is crucial to normalization.
The NTA's strategy for CUET normalization in 2024 involves significant measures to ensure fairness. The technique begins with converting raw scores (the actual grades achieved by candidates) into percentile values.
Why is Normalization Needed in CUET?
CUET normalization process 2024 is needed as it helps the authorities compare different students' performances on a common scale. Since the type of questions and the difficulty level of the question paper for every shift of the examination differs, the authorities use the normalization process to maintain uniformity among various question papers.
- Examination authorities want to ensure that the admissions are based on a score that accurately compares the students' performance.
- The CUET score normalization method 2024 also ensures that the difficulty level of the paper in various sessions for the same subject does not affect the candidate's percentile.
Also Read: What is a Good Score in CUET 2024? - Marks Distribution, Score Calculation
CUET Marks VS Percentile
Students who want to know more regarding the scoring process can check out the CUET Marks vs Percentile table given below:
| Marks | Percentile |
| 200 - 188 | 100 |
| 187 - 170 | 99 |
| 169 - 150 | 98 - 97 |
| 149 - 130` | 96 - 95 |
| 129 - 110 | 94 - 93 |
| 109 - 90 | 92 - 90 |
| 89 - 80 | 89 - 84 |
| 79 - 70 | 83 - 80 |
| 69 - 60 | 79 - 75 |
| 59 - 50 | 74 - 70 |
| 49 - 40 | 69 - 55 |
| 39 - 20 | 54 - 30 |
Also Read: CUET PG Passing Marks
CUET Result 2024
The CUET Result 2024 was announced on July 28, 2024, by NTA on their official website. The candidates can download the CUET Result and their qualifying status. Candidates can check by the following process:
- Step 1: Go to the official website of cuet.samarth.ac.in.
- Step 2: Enter the login credentials.
- Step 3: The CUET scorecard will be displayed on the screen.
- Step 4: Candidates can download the scorecard to proceed with the admission process.
Also Read: Central Universities Admission Through CUET 2024
CUET Score Card 2024
The CUET 2024 result was announced on July 28, 2024. The CUET results are prepared based on the candidate’s entrance exam performance. Candidates must register with CUET scorecards in the institution of their choice.
Each institution will release its cutoff lists separately based on the scores achieved by the candidate. The CUET Score Card 2024 will mention the following details:
- Candidate’s name
- Roll number
- Program
- Marks obtained
- Total marks
- Percentile Score of the Candidate
Also Read: Top 15 B.E/B.Tech Colleges Accepting CUET
