CUET Result-Normalise, Percentile, Raw Score, Queries after result

CUET 2023 Result declared

CUET 2023 Result has been declared by the NTA (National Testing Agency). With the release of the results, students, teachers, and others may have various doubts and queries related to the outcome. In the result, there are two important columns: Percentile and Normalized Score. Let’s understand what they represent:

Raw Score in CUET Result

The raw score in the CUET result refers to the actual score obtained by a candidate in the exam before any adjustments or normalization. It represents the total number of correct answers or points earned by the candidate based on the marking scheme of the exam. However, the raw score is not the final score and may undergo further processing before the final result is announced.

Percentile in CUET Result

The percentile score in the CUET result is a statistical measure that indicates the relative performance of a candidate compared to other candidates who appeared for the same exam. It represents the percentage of candidates who scored equal to or lower than the candidate’s score. For example, if a candidate has a percentile score of 90, it means they performed better than 90% of the candidates who took the exam.

The percentile score is calculated by comparing the raw scores of all candidates and determining the position of each candidate in the score distribution. This measure helps to rank the candidates and provides a standardized way to assess their performance relative to others.

Normalisation Score in CUET Result

The normalisation process in the CUET result is employed to ensure fairness and equity in comparing the scores of candidates who appeared for the exam in different shifts or sessions. Since each session may have different sets of questions with varying levels of difficulty, the normalisation process adjusts the scores to account for these differences.

The normalisation score is calculated by considering the statistical properties of the scores obtained in different shifts. It aims to eliminate any advantage or disadvantage caused by the variations in question difficulty across sessions. The process ensures that candidates’ scores are evaluated uniformly and fairly, enabling meaningful comparisons among them.

However, the normalisation process can raise questions and concerns because it involves statistical calculations and adjustments. Candidates may have doubts regarding the accuracy and transparency of the normalisation process. In such cases, it is recommended to reach out to the exam conducting authority or the relevant authorities for clarification and resolution of queries.

Step 1: Using raw marks of the students in different shifts, calculate the percentiles of students in each shift.

To calculate the normalized marks across different sessions in a given subject, first we need to find the percentile of each group of these students for each shift using the raw marks they have scored.

Let us say in a given shift, 100 students have appeared for the test. We sort their marks in decreasing order. Let us assume that one student among these 100 students has scored 87 % marks. Now let us assume that 80 out 100 students have secured less than or equal to 87% marks. The percentile of this student with 87% marks would be 80/100=0⋅8. The percentile so calculated will always be between 0 and 1 and it is usually rounded off to the requisite number of decimal places.

Step 2: Arrange these percentiles in a descending order by noting the raw marks of the students in each shift.

Let us now assume that there are six students (Stu1,Stu2,Stu3,Stu4,Stu5,Stu6). Three of them (Stu2,Stu4,Stu6) have taken the test in shift-1 and the remaining (Stu1,Stu3,Stu5) in shift-2 but all in the same subject. Using the raw marks of these students, first the percentiles (PStu1 ,PStu2 ,PStu3 ,PStu4 ,PStu5 ,PStu6) of these six students in a given subject are calculated and are sorted in a decreasing order. Their Raw Marks (RMStu1, RMStu2 , RMStu3, RMStu4, RMStu5, RMStu6)in the test in each shift are also
noted corresponding to their percentiles.

Let us assume that the percentiles in the descending order are as follows: PStu5 >PStu2 >PStu1 >PStu4 >PStu6 >PStu3

Step 3: Using linear interpolation, calculate the marks of the students in the above blanks in the table

Since some students (Stu2,Stu4,Stu6) have attended shift-1 and not shift-2, their raw marks in the shift-2will not be present. Similarly the students (Stu1,Stu3,Stu5) who wrote the exam in shift-2, will have no marks in shift-1. These missing marks of each candidate in each shift are then calculated using a method called interpolation. Interpolation is a mathematical way of estimating missing marks of the students who
are absent in one shift because they have already taken the test in the other shift.

Interpolated Marks (IMStu1 , IMStu2 , IMStu3 , IMStu4 , IMStu5 , IMStu6) of the students are now
shown in the table below.

Step 4: Calculate the normalized marks for each student on a common scale.

Using the above method, each percentile value of the candidates sorted in a descending order will have marks for both shifts, raw marks and interpolated marks. Raw marks are available in the shift where the student has written test and interpolated marks are estimated in the other shift because the student could not have written test for a second time in the same subject. For each student, we then calculate the average of the actual raw marks in one shift and the marks obtained using interpolation in the other shift. This will give the normalized marks for the corresponding percentile of each candidate as shown below.

This method has been shown to be accurate for estimating normalized marks of candidates when the tests are held in multiple sessions with varying difficulty levels in a given subject. The score card of a candidate will have percentiles and normalised marks. Universities need to use the normalized marks given in the score card for preparing the ranking list for admissions.

Credit: The above information taken from https://nta.ac.in/Download/Notice/Notice_20220913233410.pdf

What Score is considered good in CUET?

In CUET (Central Universities Common Entrance Test) or any other competitive exam, the definition of a “good” score can vary depending on various factors such as the difficulty level of the exam, the number of seats available, and the competition among candidates. It is important to note that what may be considered a good score for one university or college may differ for another.

That being said, a score above 650 in CUET is generally considered a safe score to secure admission in top-notch colleges in Delhi University (DU) and other esteemed universities like BHU (Banaras Hindu University). However, it’s important to remember that this is not a fixed cutoff, and admission criteria can vary from year to year.

For candidates who have scored below 650, it doesn’t necessarily mean they cannot get admission. They may still have opportunities to secure admission by being flexible with their preferred list of courses and colleges. It is advisable for them to explore other colleges and courses that align with their interests and where they meet the admission criteria. Additionally, they can consider alternative pathways such as counseling sessions, management quotas, or waiting lists, which may provide additional chances for admission.

It is crucial for candidates to thoroughly research the admission process, cutoff scores, and specific requirements of the colleges they are interested in. This will help them make informed decisions and increase their chances of securing admission, even if their scores are below the perceived “good” score range.

Ultimately, it’s important to remember that academic scores are just one aspect of the admission process. Universities and colleges also consider other factors such as extracurricular activities, personal statements, interviews, and overall profiles of the candidates. So, candidates should focus on presenting a well-rounded profile that showcases their strengths and achievements beyond just the exam scores.

Frequently Asked Questions

Que: DU will consider my Normalised score or Percentile for admission?
Ans: NTA has suggested DU to use the normalised score of a student for admission in the university.

Que: Can I get admission in DU if less than 250 marks in CUET?
Ans: Changes are low but not none. You can fight till end and should remain flexible to make changes in the courses and colleges of your preference.

Que: How many marks is 95 percentile in CUET?
Ans: The 95th percentile range often falls between 670 and 700 points.

Que: What is the lowest score in CUET?
Ans: There is no as such lowest score but to qualify each student needs to score a total of 300-400 marks; but the eligibility criteria of admissions in different universities/colleges can vary .

Que: What is the highest score in CUET?
Ans: 800/800 is the highest core in CUET. Mahalaxmi Swaminathan has got the highest score in CUET 2023.

Also Read:
CUET Exam Queries, Pattern Information