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The normal, or Gaussian, distribution has a density function that is a symmetrical bell-shaped curve. It is one of the most important distributions in statistics. Use the [normality-assumption] tag for asking about testing for normality.

1 vote
1 answer
729 views

How to make a johnson unbounded transformation to make my data more gaussian like? in python

I am a novice in stats and I would like to transform my data (house prices) using a johnson unbounded distribution to look more gaussian. I looked at pandas transform() but I can't really understand j …
João Vitor Gomes's user avatar
1 vote
0 answers
559 views

Relationship between Histogram , Scatter plot , Normality , Linearity

I have the following doubt: suppose you have a categorical variable called 'neighborhood' with 20 categorical levels/values ("vila madalena", "mooca", etc). and I want to check for linearity with a y …
João Vitor Gomes's user avatar
1 vote
1 answer
57 views

Why when I increase the standard deviation in the pdf function the graph looks squeezed inst...

So what I am doing is this: #Set mean, s as standard deviation, variance, valores (range of values) valores = np.arange(-10,10,0.01) mean =2 s = 3 variance = np.square(s) # Calculate the pdf pdf = n …
João Vitor Gomes's user avatar