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OlgaM077 [116]
3 years ago
9

1. What are the advantages and disadvantages of technology in communication?

Computers and Technology
2 answers:
Gennadij [26K]3 years ago
7 0

Answer:

ADVANTAGES:

First, the evolution of technology is beneficial to humans for several reasons. At the medical level, technology can help treat more sick people and consequently save many lives and combat very harmful viruses and bacteria.

2-Technology has also increased the productivity of almost every industry in the world. Thanks to technology, we can even pay with bitcoins instead of using banks

DISADVANTAGES:

1-Lack of Privacy. You might think that a quick text or IM offers more privacy than a telephone call in a crowded room. ...

2-Distraction from Real Life. ...

3-Potential for Misunderstanding. ...

4-Decline of Grammar and Spelling...

5- Near people are far and far people are near through communication technology. we have no time to sit with our relatives but constantly communicate far away people . I think this is biggest <em>disadvantage </em>

Explanation:

Mashcka [7]3 years ago
5 0

Answer:

they're right

Explanation:

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Answer:

import numpy as np

import matplotlib.pyplot as plt

def calculate_pi(x,y):

   points_in_circle=0

   for i in range(len(x)):

       if np.sqrt(x[i]**2+y[i]**2)<=1:

           points_in_circle+=1

       pi_value=4*points_in_circle/len(x)

       return pi_value

length=np.power(10,6)

x=np.random.rand(length)

y=np.random.rand(length)

pi=np.zeros(7)

sample_size=np.zeros(7)

for i in range(len(pi)):

   xs=x[:np.power(10,i)]

   ys=y[:np.power(10,i)]

   sample_size[i]=len(xs)

   pi_value=calculate_pi(xs,ys)

   pi[i]=pi_value

 

print("The value of pi at different sample size is")

print(pi)

plt.plot(sample_size,np.abs(pi-np.pi))

plt.xscale('log')

plt.yscale('log')

plt.xlabel('sample size')

plt.ylabel('absolute error')

plt.title('Error Vs Sample Size')

plt.show()

Explanation:

The python program gets the sample size of circles and the areas and returns a plot of one against the other as a line plot. The numpy package is used to mathematically create the circle samples as a series of random numbers while matplotlib's pyplot is used to plot for the visual statistics of the features of the samples.

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Microsoft <br> Excel Module 6
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