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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.
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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 …
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0
answers
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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 …
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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 …