1. There are too many actors on Hollywood! Only the most talented or the most good looking would get into movies. Let's assume only actors who are either in 10% of the most talended of 10% of the most good looking in our sample would get roles. How many actors would get roles? 2. Calculate Pearson's correlation coefficient between looks and talent for actors who have roles. What is it equal to? Round the answer to 6 decimal points. Let's build a simple simulation of Hollywood: each actor would have scores on talent and appearance sampledindependently from standard normal distribution. Generate the scores using the following code:1import pandas as pdimport numpy as npimport scipy.stats as stsnp. random.seed (0)actors = pd. DataFrame({'talent': sts.norm(loc=0, scale=1).rvs(size=1000),45'looks': sts.norm(loc=0, scale=1).rvs(size=1000)})

To work out the Pearson item second relationship, one should initially decide the covariance of the…

Answered: Let's build a simple simulation of…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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1. There are too many actors on Hollywood! Only the most talented or the most good looking would get into movies. Let's assume only actors who are either in 10% of the most talended of 10% of the most good looking in our sample would get roles. How many actors would get roles?

2. Calculate Pearson's correlation coefficient between looks and talent for actors who have roles. What is it equal to? Round the answer to 6 decimal points.