Answer:
Complete working code is available now.
Explanation:
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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
Answer:A)Smart-card PINs
Explanation: A pin is the defines as the personal identification number that is allotted to the smart card uniquely that is no other smart can have same number.This number is only known by the smart card holder only.
This number is important because it works for the unlocking of the data that is securely stored and by entering the pin ,it can be decoded.Thus, the other given options are incorrect because they don't use enumeration to hide the data .Thus the correct option is option (A)
