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 = FALSE) ## [1] 0.009489893 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")
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 = FALSE) ## [1] 0.009489893 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")
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Hello. Please answer the attached Probability question using the Python code Snippet correctly.
*If you answer the question correctly and completely, I will give you a thumbs up. Thanks.
![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")](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1223c4c6-4ebb-4911-bc0d-edb37c26385f%2F2e64037a-97db-4745-9b6c-34ac4fcaa7d9%2F1jvke6_processed.jpeg&w=3840&q=75)
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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