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:
Explanation:
Distract the audience from the real code by pretending to use silly faces, gestures, or different ways of asking the question as a code. Do the trick two or three times, then stop so the audience doesn't guess your secret. You can also talk to your assistant again and come up with a different code for next time.
Once the pseudocode is accepted by the team, it is rewritten using the vocabulary and syntax of a programming language. The purpose of using pseudocode is an efficient key principle of an algorithm. It is used in planning an algorithm with sketching out the structure of the program before the actual coding takes place.
Poke hole with thin but strong object
Or buy new sharpener
