Normalization Calculator
Predict your Final Score after Normalization based on Standard Deviation Formula.
M_norm = [ (M_gt - M_gq) / (M_ti - M_iq) ] * (M_ij - M_iq) + M_gq
Auto-Fill Data:
Normalization Result
0 Raw Score
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0 Normalized
Total Increase: +0.00 Marks
Logic: Since your shift average (0) was lower than the global average (0), the formula considers your shift "Hard" and compensates you with extra marks.
What is Normalization in Exams?
Normalization is a statistical method used in multi-shift exams (like SSC CGL, RRB NTPC, IBPS, GATE) to adjust the difficulty level variations across different question papers.
If your exam shift was tougher than others, your marks are increased to bring everyone to a common playing field. Conversely, if your shift was very easy, marks might decrease slightly.
Key Formula Variables:
- M_ij: Your actual marks (Raw Score).
- M_iq: Average marks of candidates in your specific shift. (Lower Average = Harder Shift).
- M_gq: Average marks of all candidates across all shifts (Global Average).
Frequently Asked Questions
It happens in almost all computer-based exams (CBT) conducted in multiple shifts, including SSC, Railways, Banking, and GATE exams.
Yes. If your shift was significantly easier (high average score) compared to other shifts, your normalized score can be lower than your raw score.
Official data is not released until the final result. However, for prediction, you can use crowd-sourced data from analysis platforms or estimate using "Easy/Medium/Hard" presets.