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ASHA 777 [7]
3 years ago
9

Do the pros of interpersonal communication via social media outweigh the cons? Explain.

Computers and Technology
2 answers:
JulijaS [17]3 years ago
6 0
Well in my opinion is that yes they do. The ability to be able to communicate with others so far way really helps society advance towards the future. And i cant stress of how the benefits of being able to share ideas with well anyone is so wonderful.

I hope this helps.
Alexxx [7]3 years ago
6 0

Answer:

Well in my opinion is that yes they do. The ability to be able to communicate with others so far way really helps society advance towards the future. And i cant stress of how the benefits of being able to share ideas with well anyone is so wonderful.

Explanation: I know this is the right answer I love IT!!!

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10. Question<br> What are the drawbacks of purchasing something online? Check all that apply.
max2010maxim [7]

Explanation:

1) the quality of purchased good may be low

2) there might me fraud and cheaters

3) it might be risky

4) we may not get our orders on time

7 0
2 years ago
A power ratio of 9000000:1 corresponds to ... dB?
sertanlavr [38]

Answer:

69.54

Explanation:

A power ratio of 9000000:1 corresponds to 69.54 dB.

The calculation is presented below:

Formula for calculating Power ratio (db) = 10 * log [P(out)/P(in)]

Since the given ratio is 9000000:1, substituting in the formula gives us 10 * log (9000000/1)

Note that log 9000000 = 6.954

Therefore, 10 * log (9000000/1) = 69.54

Hence the required power ratio in db is 69.54 db.

4 0
3 years ago
A common use of color in a document is in Table Headers. Which of these is NOT a common way to use color in a table header.
Lesechka [4]
<span>Use a dark color with light-color text to contrast the headers with the data.</span>
3 0
3 years ago
Write a function sample_median(n,P) that generates n random values using distribution P and returns the median of the collected
TiliK225 [7]

Answer:

import numpy as np

def sample_median(n, P):  

   return np.median( np.random.choice ( np.arange (1, len(P) + 1 ), n, p = P ) )

print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))

print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))

print(sample_median(5, [0.3,0.7])

print(sample_median(5, [0.3,0.7])

Explanation:

  • Bring in the numpy library to use the median function provided by the numpy library.
  • Define the sample_median function that takes in 2 parameters and returns the median with the help of built-in random, choice and arrange functions.
  • Call the sample_median function by providing some values to test and then display the results.    

Output:

4.5

4.0

2.0

1.0

7 0
3 years ago
Which of the following statements is true about mobile devices and procedures?
Zarrin [17]

Answer:

No

Explanation:

No

5 0
3 years ago
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