FAQ: Statistical Distributions with NumPy - Standard Deviations and Normal Distribution, Part II


#1

This community-built FAQ covers the “Standard Deviations and Normal Distribution, Part II” exercise from the lesson “Statistical Distributions with NumPy”.

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This exercise can be found in the following Codecademy content:

Data Science

Introduction to Statistics with NumPy

FAQs on the exercise Standard Deviations and Normal Distribution, Part II

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#2

Need a help with below things

Q. The average score on the SATs is 1000 and the standard deviation is 100.
2000 students took the exam. How many would you expect to have scores within the range of one_above and one_below ?

Save your response to the variable one_std and print it to the terminal.

My Code :

import numpy as np

one_above = 1000 + 100
one_below = 1000 -100

print(one_above, one_below)

one_std = np.random.normal(1000,100,2000)

expected_std= one_std[(one_std > one_below) | (one_std< one_above)]

count = 0

for x in expected_std :
count = count + 1
#print(one_std[(one_std > one_below) | (one_std< one_above)])
print(count)

Query : But I am getting count as 2000 which is wrong , please help with the correct logic