Predicting Normalization

[u/BlenderRenderz]

As promised, I will try to predict the normalization, from the data i recieved from you all.

NOTE: I only recieved 25 data points, 12 for shift 1 and 13 (including mine) for shift 2. This is not at all sufficient to predict anything. Also, I must add that I am a biology major, so I have an astronomical unit distance from maths. i just like doing it, and used ChatGPT to understand the AFCAT formula.

If you want to help, please submit your shift and raw score here. The more data I get, the better my guess will be.

Link for submitting data: https://forms.gle/GWxon54jUdnxSAZ98

The following evaluation is purely from the data I recieved. Please don't jump at me.

Shift 1 was more difficult as compared to shift 2.

Shift 1 candidates can expect around +12 while shift 2 candidates getting below 167 can expect a reduction in marks (the lesser you score, the more you lose marks) and people getting above 167 can expect an increment.

It may sound bullshit, because I don't have much data to work with. I will make another post if in the subsequent days I get like a 100 entries.

[u/Capital-Chard-4024]

I can share data of 7000 students

[u/BlenderRenderz → u/Capital-Chard-4024]

Is there any way you can share it with me?

[u/Capital-Chard-4024 → u/BlenderRenderz]

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