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gogolik [260]
3 years ago
9

Which information is considered free for use?

Computers and Technology
2 answers:
wlad13 [49]3 years ago
7 0
The internet but you didn't put choices so idk hun
blsea [12.9K]3 years ago
3 0

Information shared on social networking websites.

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Find each of the following products using distributive property a) 735 × 16​
Alekssandra [29.7K]

Answer:

735 * 16 = 11760

Explanation:

Given

735 * 16

Required

The product using distributive property

Express 16 as 10 + 6

735 * 16 = 735 * (10 + 6)

Distributive property states that:

a * (b + c) = a * b + a * c

So, the expression becomes

735 * 16 = 735 * 10 + 735 *6

Evaluate each product

735 * 16 = 7350 + 4410

735 * 16 = 11760

8 0
3 years ago
The valid call to the function installApplication is
Zanzabum

Answer:

B. installApplication(‘A’, 1);

Explanation:

Given

The above code segment

Required

The correct call to installApplication

The function installApplication is declared as void, meaning that it is not expected to return anything.

Also, it receives a character and an integer argument.

So, the call to this function must include a character and an integer argument, in that order.

Option D is incorrect because both arguments are integer

Option C is incorrect because it passes no argument to the function.

Option A is incorrect because it receives an integer value from the function (and the function is not meant not to have a return value).

Option B is correct

8 0
3 years ago
Write a function named shareALetter that takes one parameter, wordList – a list of words. Create and return a dictionary in whic
Arte-miy333 [17]
Can u send anything to understand it
7 0
3 years ago
To prevent rust from forming, a light coating of_____should be applied to all machined surfaces
Fantom [35]
What is that I never heard of that before
4 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
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