Chi-square test vs K-S test of uniformity, is it necessary to normalize values between 0-1?

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shivajikobardan

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Say two digits numbers are given like 10,20,30,55,95,85,12,13,52....etc. Is it necessary to normalize them to numbers between 0 to 1? i.e 0.10 for 10, 0.20 for 20 and so on? I've read this to be the case for K-S test. But I'm not sure for chi-square test. I'm not 100% sure on this information as I've not seen it everywhere.

It looks like it's the case for K-S test as x needs to be between 0 to 1, not sure for Chi-square test?
 
shivajikobardan said:
Say two digits numbers are given like 10,20,30,55,95,85,12,13,52....etc. Is it necessary to normalize them to numbers between 0 to 1? i.e 0.10 for 10, 0.20 for 20 and so on? I've read this to be the case for K-S test. But I'm not sure for chi-square test. I'm not 100% sure on this information as I've not seen it everywhere.

It looks like it's the case for K-S test as x needs to be between 0 to 1, not sure for Chi-square test?
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That's not even the case for the K-S test. Where did you see it says that you have to normalize?
 
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