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DS-1000 / 762 / How to calculate kurtosis (according to Fisher’s definition) without bias…

Problem

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prompt

Problem:
How to calculate kurtosis (according to Fisher’s definition) without bias correction?
A:
<code>
import numpy as np
import scipy.stats
a = np.array([   1. ,    2. ,    2.5,  400. ,    6. ,    0. ])
</code>
kurtosis_result = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Scipy

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Source and history

upstream_id / Original problem ID
762
task_id
2e9611c0-c146-55b5-9e7f-590151403c1c
task_key
default--test--762
task_revision_id
1
config / split
default / test

Official source

initial import