I'm struggling to create 5 histograms for a set of data in Python. Conceptually the code should produce a histogram which gets smoother and closer to a normal curve as the number of values increases in the array. Mine are all plotting on the same graph however and are separated at weird values and I don't know why. They're not curve like at all. For reference, my 5 arrays of values are generated randomly from a normal distribution with a mean of 12, standard deviation of 1, and contain 5, 50, 500, 5000, and 5000000 values respectively.
I'm struggling to create 5 histograms for a set of data in Python. Conceptually the code should produce a histogram which gets smoother and closer to a normal curve as the number of values increases in the array. Mine are all plotting on the same graph however and are separated at weird values and I don't know why. They're not curve like at all. For reference, my 5 arrays of values are generated randomly from a normal distribution with a mean of 12, standard deviation of 1, and contain 5, 50, 500, 5000, and 5000000 values respectively.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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I'm struggling to create 5 histograms for a set of data in Python. Conceptually the code should produce a histogram which gets smoother and closer to a normal curve as the number of values increases in the array. Mine are all plotting on the same graph however and are separated at weird values and I don't know why. They're not curve like at all.
For reference, my 5 arrays of values are generated randomly from a normal distribution with a mean of 12, standard deviation of 1, and contain 5, 50, 500, 5000, and 5000000 values respectively.
Transcribed Image Text:import numpy as np
import matplotlib.pyplot as plt
10
11
12
np.random.normal(loc=12, scale=1, size=5)
np.random.normal(loc=12, scale=1, size=50)
np.random.normal(loc=12, scale=1, size=500)
np.random.normal(loc=12, scale=1, size=5000)
np.random.normal(loc=12, scale=1, size=5000000)
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x1 =
14
x2 =
15
x3 =
16
x4 =
17
x5 =
18
histl - np.histogram(x1)
plt.hist(hist1)
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20
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hist2 =
np.histogram(x2)
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plt.hist(hist2)
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hist3 =
np.histogram(x3)
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plt.hist(hist3)
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hist4 =
np.histogram(x4)
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plt.hist(hist4)
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hist5 =
np.histogram(x5)
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plt.hist(hist5)
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Transcribed Image Text:10
8
6
4
0.00
0.25
0.50
0.75
1.00
125
150
175
lеб
2.
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