Knowing about normalization is vital for RBI Grade B aspirants. It affects how scores are compared between different exam shifts. It’s a matter of importance, especially among aspirants appearing in different exam shifts. Because the RBI Grade B exam is conducted in different shifts, each shift’s difficulty level can be slightly different. Hearing this, many aspirants may feel that the evaluation process is not fair. In this blog, we’ll explore the concept of normalization, whether RBI uses it, how it works, and what impact it has on your results. Let’s understand whether your marks will be calculated under normalization and whether you need to keep this in mind while preparing.
Normalization is a method which is applied in competitive exams so that equality can be maintained among candidates. Because, many competitive exams are conducted in multiple shifts, the difficulty level changes slightly. In some shifts, questions may be a little easier, and in some, a little tougher. That’s why, to balance this difference, and keeping in mind that no candidate should gain an advantage due to more or less difficulty than another candidate, normalization is implemented. In simple words, this process adjusts the marks based on the difficulty level of each shift. So, even if a candidate’s shift is tougher, their score will still be calculated fairly. That’s why, this method provides equal opportunity to all candidates.
Yes, and no. Because nobody knows whether it uses the same normalization as other competitive exams. But, it might be applied by the RBI, especially because this stage is conducted in multiple shifts across different centers. RBI might adopt normalization to level the playing field when shifts have slightly different levels of difficulty. On the other hand, the normalization is not used in the Phase 2 exam, because this Phase is generally conducted in a single shift for all candidates.
Let’s say:
Now compare that with:
Using the normalization formula:
Step-by-step Normalization Example:
So, your actual score (78) becomes 85.6 after normalization. This is a result of the higher difficulty in the exam shift you appeared in.
Only the normalized marks are considered for shortlisting candidates for the Phase 2 exam. So, even if your raw marks are lower, a tougher shift might boost your normalized score. It is believed (not sure) that RBI follows a standard normalization method (used by most major recruiting bodies like IBPS and SSC), though RBI has not disclosed the exact formula.
You need not worry about the normalization process while preparing. Instead:
NOTE: Keep in mind that normalization can work in your favour if your shift is tougher. But, as discussed above, it is not known whether RBI uses such normalization or not, because it hasn’t revealed any such method.
From the given discussion, you must have come to know that there is no confirmed information about whether the RBI uses the normalization method or not. Just many experts believe that it might be used. RBI has never officially disclosed this. But what is confirmed is that the RBI follows a shift-wise cutoff system. While many regulatory exams and banking exams like IBPS and SSC use normalization to balance the difficulty levels of different shifts. RBI follows a shift-wise cutoff system instead. This means that every shift of RBI, according to the difficulty level of its exam slot, has its own cutoff based on the difficulty of that particular slot. So, it’s better to focus on performing your best in your allotted shift instead of worrying about normalization. Attempt mock tests that match RBI’s level to boost your confidence, accuracy, and speed. Smart preparation, not speculation, is the key to success in RBI Grade B.
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Related Blogs:
RBI hasn’t declared whether it uses normalization in the Grade B exam. Though it is believed by many that it uses the method.
No, RBI uses separate cutoffs for each shift instead.
RBI maintains fairness by setting shift-wise cutoffs rather than adjusting scores.
Not always, which is why shift-specific cutoffs are applied.
No, shift-wise cutoffs balance difficulty variations fairly.
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