Help needed in normalizing data

  • Thread starter Weirdzzl
  • Start date
  • #1
6
0
Hi all, i got a set of negative values ranging from -0.0001 to -0.3. How do i effectively make them easier to compare and plot a normal distribution graph. can i just do exponential on the values? Thank you for the help
 

Answers and Replies

  • #2
chiro
Science Advisor
4,790
132
Hey Weirdzzl.

Usually normalizing distributions involves calculating (X-mu)/sigma where if X is Normally distributed, then the result will give N(0,1) or a normalized normal.

Since your data is all negative it is not likely (especially if the sample size is big) that your distribution is normal.

If you want to make it normal you need to transform your data by some function y = f(x) where you apply the function f to all your sample points.

Doing this will depend on the nature of the distribution you have for your sample and what kind of distribution (i.e. population model) you assume the sample belongs to).

This requires graphical attributes of the distribution as well as knowledge about statistics, the nature of the data, and the context of the system that the data belongs in.

In short, it is not a trivial matter.
 

Related Threads on Help needed in normalizing data

  • Last Post
Replies
1
Views
2K
  • Last Post
Replies
4
Views
4K
  • Last Post
Replies
13
Views
4K
  • Last Post
Replies
4
Views
4K
Replies
1
Views
2K
Replies
2
Views
476
Replies
1
Views
2K
Replies
7
Views
251K
Replies
6
Views
1K
Replies
5
Views
46K
Top