A Binomial distribution is defined as a number of successes in a sequence of independent Bernoulli trials. A company called Birrus Mac has deployed a malicious worm on the net. The effects of that malware on the file system is unknown. Suppose any possible PC can be infected. If the probability of an infection in any local PC is 0.705 and the probability that it does not corrupt your files is 0.196. What do you thing will happen if your organization have 10 local PC computers, and the average number of files in there are 20. Treat each situation as a separate problem set.seed (74) Could you please solve the following questions: What is the probability that more than 3 PC are infected ? pbinom (3, size=10, prob-0.196, lower.tail = FALSE) ## [1] 0.1139337 What is the probability that we have between 2 and 9 PC's infected ? pbinom (2:9, size=10, prob=0.196) ## [1] 0.6898470 0.8860663 0.9697768 0.9942653 0.9992401 0.9999331 0.9999965 ## [8] 0.9999999

Database System Concepts
7th Edition
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Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Chapter1: Introduction
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Hello. Please answer the attached Probability questions using the Python code Snippets correctly.

*If you answer the question and its two parts correctly and completely, I will give you a thumbs up. Thanks.

A Binomial distribution is defined as a number of successes in a sequence of independent Bernoulli
trials.
A company called Birrus Mac has deployed a malicious worm on the net. The effects of that malware
on the file system is unknown. Suppose any possible PC can be infected. If the probability of an
infection in any local PC is 0.705 and the probability that it does not corrupt your files is 0.196. What
do you thing will happen if your organization have 10 local PC computers, and the average number
of files in there are 20. Treat each situation as a separate problem
set.seed (74)
Could you please solve the following questions:
What is the probability that more than 3 PC are infected?
pbinom (3, size=10, prob-0.196, lower.tail = FALSE)
## [1] 0.1139337
What is the probability that we have between 2 and 9 PC's infected?
pbinom (2:9, size=10, prob=0.196)
## [1] 0.6898470 0.8860663 0.9697768 0.9942653 0.9992401 0.9999331 0.9999965
## [8] 0.9999999
Transcribed Image Text:A Binomial distribution is defined as a number of successes in a sequence of independent Bernoulli trials. A company called Birrus Mac has deployed a malicious worm on the net. The effects of that malware on the file system is unknown. Suppose any possible PC can be infected. If the probability of an infection in any local PC is 0.705 and the probability that it does not corrupt your files is 0.196. What do you thing will happen if your organization have 10 local PC computers, and the average number of files in there are 20. Treat each situation as a separate problem set.seed (74) Could you please solve the following questions: What is the probability that more than 3 PC are infected? pbinom (3, size=10, prob-0.196, lower.tail = FALSE) ## [1] 0.1139337 What is the probability that we have between 2 and 9 PC's infected? pbinom (2:9, size=10, prob=0.196) ## [1] 0.6898470 0.8860663 0.9697768 0.9942653 0.9992401 0.9999331 0.9999965 ## [8] 0.9999999
A geometric distribution is defined as the number of trials until the first success is observed. Or in
other words, the number of Bernoulli experiments needed to obtain the first sucessful outcome.
A group of coders are trying to prepare themselves to get a position at google. They already know
no bugs permitted, at all. They can also decide to code with Python which google supports or Javi (a
Java new implementation no one likes) What do you think will happen if the probability that you
make a bug coding in Python is 0.705. You are coding different methods, programs and functions.
Could you please solve the following questions if you need to write a good method or program in
order to start interviews with google:
What is the probability that at least 6 attempts are needed to get a program with no bugs (Javi)?
X <- 6
probabilitat <- 0.48
dgeom (x, probabilitat, log
## [1] 0.009489893
=
FALSE)
Draw the pmf of the number of attempts up to and including the first No Bug code (Python)
plot (pgeom (0:20, 1-0.705), col="red", ylab="No Bug code")
Transcribed Image Text:A geometric distribution is defined as the number of trials until the first success is observed. Or in other words, the number of Bernoulli experiments needed to obtain the first sucessful outcome. A group of coders are trying to prepare themselves to get a position at google. They already know no bugs permitted, at all. They can also decide to code with Python which google supports or Javi (a Java new implementation no one likes) What do you think will happen if the probability that you make a bug coding in Python is 0.705. You are coding different methods, programs and functions. Could you please solve the following questions if you need to write a good method or program in order to start interviews with google: What is the probability that at least 6 attempts are needed to get a program with no bugs (Javi)? X <- 6 probabilitat <- 0.48 dgeom (x, probabilitat, log ## [1] 0.009489893 = FALSE) Draw the pmf of the number of attempts up to and including the first No Bug code (Python) plot (pgeom (0:20, 1-0.705), col="red", ylab="No Bug code")
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