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Aneli [31]
3 years ago
15

What type of coverage pays for damage incurred as a result of theft, vandalism, fire or natural disaster?

Computers and Technology
1 answer:
Sloan [31]3 years ago
5 0

Comprehensive or hazard insurance

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Softa [21]

answer is

o

that's so easy

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3 years ago
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What is shouting pertaining to the internet
Ludmilka [50]
Hi!

What is considered shouting on the internet is when WHEN YOU TYPE IN ALL CAPS LIKE THIS!!! Doing this seems to make the words appear louder and more prominent. You can also add more emphasis to ALL CAP words by adding ***ASTERISKS***.
8 0
3 years ago
cellPhoneBill(m,tx)Write the function cellPhoneBill()that takes two int m and txas input and returns a float.The function takes
lidiya [134]

Answer:

The solution code is written in C++

  1. float cellPhone(int m, int tx){
  2.    float COST_PER_MIN = 0.1;
  3.    float COST_PER_MESSAGE = 0.2;
  4.    
  5.    float bill_amount = m * COST_PER_MIN + tx * COST_PER_MESSAGE;
  6.    
  7.    return bill_amount;
  8. }

Explanation:

Firstly, declare a function named cellPhone() that takes two input parameters, m and tx (Line 1).

Since the policy of the carrier company is not given in the question, I make a presumption that the cost per minutes is $0.10 and the cost per message is $0.20 (Line 2- 3).

Next, apply the formula m * COST_PER_MIN + tx * COST_PER_MESSAGE to calculate the total bill (Line 5) and return the bill_amount as function output (Line 7).

4 0
3 years ago
Petra has an interview with an IT company. What technique can help prepare her?
SVEN [57.7K]
I would go C because that way it gets her prepared to answer any techie questions they would have for her and would make her a better option.
3 0
3 years ago
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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

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3 years ago
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