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The company was launched in 2014. [1] Its name, Vedantu, is derived from the Sanskrit words Veda (knowledge) and Tantu (network). [2] The organization is run by IIT alumni Vamsi Krishna (co-founder and CEO), Pulkit Jain (co-founder and head of product), Saurabh Saxena (co-founder) and Anand Prakash (co-founder and head of academics).
In 2021, 2022, and 2023, it was conducted by IIT Kharagpur, IIT Bombay and IIT Guwahati respectively. The top 250,000 students of JEE Main qualify to appear for the JEE-Advanced examination. In 2018, 224,000 students appeared to take the JEE-Advanced, [9] a number that had gone up from 220,000 in 2017 and 200,000 in 2016. [10]
However, with 2022 JEE-Main being postponed from April/May to 20–29 June/21–30 July, JEE-Advanced 2022 was also postponed and subsequently held on 28 August 2022. On 5 November 2024, it was announced by IIT Kanpur , and Joint Admission Board(JAB) that the attempts of JEE-Advanced are now increased from 2 to 3. [ 72 ]
The number of attempts which a candidate can avail at the examination is limited to three in consecutive years. As of 2018, the top 2,24,000 rankers of JEE-Main will qualify to take the second and final level of examination: JEE-Advanced. this number of 2.24 lakh is not fixed this may vary as per difficulty level of paper of JEE-Main. [7]
One of the names proposed was the Indian Science Engineering Eligibility Test (ISEET). It was meant as a replacement for the multitude of existing exams, but most specifically the Indian Institute of Technology Joint Entrance Examination (IIT-JEE) and the All India Engineering Entrance Examination. [3]
A norm-referenced test does not seek to enforce any expectation of what test takers should know or be able to do. It measures the test takers' current level by comparing the test takers to their peers. A rank-based system produces only data that tell which students perform at an average level, which students do better, and which students do worse.
The figure illustrates the percentile rank computation and shows how the 0.5 × F term in the formula ensures that the percentile rank reflects a percentage of scores less than the specified score. For example, for the 10 scores shown in the figure, 60% of them are below a score of 4 (five less than 4 and half of the two equal to 4) and 95% are ...
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.