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
It is True.
According to federal laws in the U.S, an employer is required by law to provide training to all employees. The employees should acquire this knowledge and understanding and any skills necessary for the performance of the duties. The employer is also required to certify that the training has been accomplished.
Answer:
Assessing opportunity cost involves <u>making choices and dealing with consequences.</u>
Explanation:
Opportunity cost means that, the cost to gain something with some consequences. If there are multiple opportunities in front of you and you have to analyze or assess each opportunity. In this assessment you have to assess the consequences of all choices or opportunities. After assessing all the opportunities you will select the opportunity in which you have more gain and less consequences.
So we can say that, while assessing different opportunities, we have to make choices and dealing with consequences.
Answer:
SEO Friendly
Explanation:
Making websites SEO Friendly refers to design styles that makes search engines to easily find contents on the website. The search engines can easily find content on individual page of the website efficiently and interpret effectively.
