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Readme [11.4K]
3 years ago
6

The relationship between social media and the Internet is complex. Individual Internet behavior involves a myriad of factors tha

t contribute either safety or risk-taking behaviors that can begin in adolescence. Discuss risks currently derived from online interactions, including coverage of violence trending on social media and identification of its characteristics. Be sure to include at least one example (case) that demonstrates this relationship.
Computers and Technology
1 answer:
Artemon [7]3 years ago
7 0

Answer:

Explanation:

The internet could be regarded has a marketplace or platform which gives individuals, businesses the opportunity to interact, relate, access opportunities, learn in an easy manner with the help of a data connection. The internet has redefined the process and concept of acesing information and interaction with the ease and coverage it brings. The Social media is could be seen a part of the internet platform which allows people to relate and interact, make friends, promote brands and so on. The internet and social media platforms however, in spite of its huge benefits comes with its inherent risk. Including the surge in cyber crime, immorality and information theft to mention a few. Common scenarios whereby banking details are being stolen from databases resulting in wholesale illegal transfer of funds. Issues of blackmail and violent defamation by groups of cohorts has also been a con in the advent of internet and social media, including growing trends of fake news which usually escalate tension, in which the recent unrest in my vicinity benefitted negatively from.

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How to select the entire worksheet?
Archy [21]
Hey there! Hello! 

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3 years ago
For this problem, you will write a function standard_deviation that takes a list whose elements are numbers (they may be floats
Evgesh-ka [11]

Answer:

  1. import math  
  2. def standard_deviation(aList):
  3.    sum = 0
  4.    for x in aList:
  5.        sum += x  
  6.    
  7.    mean = sum / float(len(aList))
  8.    sumDe = 0
  9.    for x in aList:
  10.        sumDe += (x - mean) * (x - mean)
  11.    
  12.    variance = sumDe / float(len(aList))
  13.    SD = math.sqrt(variance)
  14.    return SD  
  15. print(standard_deviation([3,6, 7, 9, 12, 17]))

Explanation:

The solution code is written in Python 3.

Firstly, we need to import math module (Line 1).

Next, create a function standard_deviation that takes one input parameter, which is a list (Line 3). In the function, calculate the mean for the value in the input list (Line 4-8). Next, use the mean to calculate the variance (Line 10-15). Next, use sqrt method from math module to get the square root of variance and this will result in standard deviation (Line 16). At last, return the standard deviation (Line 18).

We can test the function using a sample list (Line 20) and we shall get 4.509249752822894

If we pass an empty list, a ZeroDivisionError exception will be raised.

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Answer:

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