Category | Roll Number | Name |
---|---|---|

Seniors | BLRS006 | Abhinav Menon |

NDLS017 | Aditya Agrawal | |

HYDS043 | Akash Singirikonda | |

BLRS009 | Ankit Sharma | |

MUMS008 | Antara Raaghavi Bhattacharya | |

NDLS021 | Anushka Garg | |

NDLS024 | Ayush Sachdeva | |

CHNS007 | C. Prathyussha | |

BLRS028 | Chinmay S. I. | |

NDLS027 | Gauri Batra | |

RAIS035 | Gaurja Aeron | |

RAIS036 | Mansha Kochar | |

RAIS037 | Mihir Bani | |

NDLS038 | Nikunj Taneja | |

NDLS039 | Nishant Dhankar | |

BLRS016 | Niveditha Subramanyam Iyer | |

NDLS042 | Pranava Dhar | |

KOLS013 | Prithu Purkait | |

HYDS053 | Rishika Vadlamudi | |

KOLS018 | Ritam Nag | |

BLRS021 | Sharan Srinivasan | |

NDLS052 | Shashwat Goel | |

KOLS022 | Sourabh Raj Jaiswal | |

NDLS098 | Vivek Gupta | |

KOLS024 | Wrik Karmakar | |

Juniors | BLRJ001 | Anantharaman Subramanyam Iyer |

NDLJ006 | Harshikaa Agrawal | |

KOLJ001 | Khooshi | |

PUNJ001 | Neeraj Ajit Bapat | |

NDLJ011 | Sarthak Mangla | |

BLRJ005 | Vishnu Sampathkumar |

Objective Marks will be up soon.

First, only the objective part of the answers are evaluated that were written in the answer booklet. For each problem, approx. 50-70% marks were in the objective part. A rank list of all the candidates were created and approx. top 2X candidates were selected for complete evaluation, where X is the number of slots we have from that category in round 2. The objective scores per problem, average, median and cut-offs scores in each category are shown below.

Category | Statistic | Problem 1 | Problem 2 | Problem 3 | Problem 4 | Problem 5 | Cut-off (no. of candidates clearing the cut-off.) |
---|---|---|---|---|---|---|---|

Seniors | Total Obj. Score | 13 | 12 | 12 | 14 | 10 | 31(40) |

Mean | 9.85 | 1.70 | 7.15 | 4.44 | 1.16 | ||

Median | 11.5 | 1 | 7.5 | 2 | 0 | ||

Juniors | Total Obj. Score | 13 | 13 | 12 | 12 | 10 | 22(13) |

Mean | 5.51 | 2.4 | 5.98 | 1.34 | 0.25 | ||

Median | 4.5 | 0 | 6.5 | 0 | 0 |

In the second round of evaluation, the explanations for the problems were checked for the candidates clearing the cut-off. The objective and explanation scores were added to obtain the total score for each problem (out of 20). The total score for the 5 problems, out of 100, is the raw score, based on which a rank list was prepared.

For seniors, since we saw a large cluster of candidates between scores 50 and 53, instead of an arbitrary cut-off, we decided to go for a weighted score, where the difficult problems were assigned higher weights. Difficulty level was judged based on the average score of all the candidates (for whom we evaluated both parts) in that problem. Thus, the final score for seniors have been calculated using the following formula:

Here are the maximum, mean and median score for each problem, and the cut-off scores for final selection.

Category | Statistic | Problem 1 (Out of 20) | Problem 2 (Out of 20) | Problem 3 (Out of 20) | Problem 4 (Out of 20) | Problem 5 (Out of 20) | Cut-off (no. of candidates clearing the cut-off.) |
---|---|---|---|---|---|---|---|

Seniors | Maximum | 20 | 16.5 | 17 | 20 | 12 | 42.17(25) *This is the cut-off for the weighted score. |

Mean | 15.77 | 5.53 | 10.17 | 15.70 | 4.58 | ||

Median | 16.5 | 4.75 | 10 | 17.1 | 5.25 | ||

Juniors | Maximum | 19 | 13.25 | 12.8 | 15.5 | 5 | 37(6) |

Mean | 11.30 | 8.96 | 8.161 | 4.18 | 1.92 | ||

Median | 11 | 10 | 7.5 | 0 | 1.5 |

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