<p>I need help. Here is my problem, I am testing normal distribution on covid, 2008 crisis, and beetween these. So I have 3 timezone and 7 indexes. When I use SPSS to test the normal distribution with skewness kurtosis shapiro and kolmogorv, the kolmogorov and Shapiro results showing me I have normal distribution but, I have high Kurtosis levels which is not normal. I don't understand how is it possible. Here is a picture about this.
<a href="https://i.sstatic.net/bnmPe.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/bnmPe.png" alt="enter image description here" /></a></p>

CC BY-SA 4.0
2022-05-03T09:26:18.890Z
Hi @user41110. You should reject the null (i.e. reject normality) with your p-values.
EB3112
CC BY-SA 4.0
2022-05-03T09:42:04.250Z
Can you give a more detailed explain please?
user41110
CC BY-SA 4.0
2022-05-03T09:54:36.947Z
Hi @user41110. Sorry for any ambiguity. You should reject your null hypothesis with a p-value less that 0.05. In particular, you should reject the Shapiro null  that 'the data is distributed normally.' Therefore, since .001 < 0.05, you should reject your null; and thus you should reject normality distributed data.
EB3112
CC BY-SA 4.0
2022-05-03T09:57:52.857Z
Thanks for the answer, why are the kurtosis values are this high?
user41110
CC BY-SA 4.0
2022-05-03T10:02:28.153Z
Lots of outliers would make sense. But you should plot your data to get some good visuals of what's going on.
EB3112
<macroeconomics><econometrics><mathematical-economics><finance><financial-economics>
High Kurtosis with normal Distribution
user41110
# High Kurtosis with normal Distribution

(Asked by: username_0 on 2022-05-03)

I need help. Here is my problem, I am testing normal distribution on covid, 2008 crisis, and beetween these. So I have 3 timezone and 7 indexes. When I use SPSS to test the normal distribution with skewness kurtosis shapiro and kolmogorv, the kolmogorov and Shapiro results showing me I have normal distribution but, I have high Kurtosis levels which is not normal. I don't understand how is it possible. Here is a picture about this.
[![enter image description here](https://i.sstatic.net/bnmPe.png)](https://i.sstatic.net/bnmPe.png)

**Tags:** macroeconomics, econometrics, mathematical-economics, finance, financial-economics
> **Comments:**
> **username_1**: Hi @user41110. You should reject the null (i.e. reject normality) with your p-values.  
> **username_0**: Can you give a more detailed explain please?  
> **username_1**: Hi @user41110. Sorry for any ambiguity. You should reject your null hypothesis with a p-value less that 0.05. In particular, you should reject the Shapiro null  that 'the data is distributed normally.' Therefore, since .001 < 0.05, you should reject your null; and thus you should reject normality distributed data.  
> **username_0**: Thanks for the answer, why are the kurtosis values are this high?  
> **username_1**: Lots of outliers would make sense. But you should plot your data to get some good visuals of what's going on.  

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