Answer:
a) Yes
b) Yes
c) Yes
d) No
e) Yes
f) No
Explanation:
a) All single-bit errors are caught by Cyclic Redundancy Check (CRC) and it produces 100 % of error detection.
b) All double-bit errors for any reasonably long message are caught by Cyclic Redundancy Check (CRC) during the transmission of 1024 bit. It also produces 100 % of error detection.
c) 5 isolated bit errors are not caught by Cyclic Redundancy Check (CRC) during the transmission of 1024 bit since CRC may not be able to catch all even numbers of isolated bit errors so it is not even.
It produces nearly 100 % of error detection.
d) All even numbers of isolated bit errors may not be caught by Cyclic Redundancy Check (CRC) during the transmission of 1024 bit. It also produces 100 % of error detection.
e) All burst errors with burst lengths less than or equal to 32 are caught by Cyclic Redundancy Check (CRC) during the transmission of 1024 bit. It also produces 100 % of error detection.
f) A burst error with burst length greater than 32 may not be caught by Cyclic Redundancy Check (CRC) during the transmission of 1024 bit.
Cyclic Redundancy Check (CRC) does not detect the length of error burst which is greater than or equal to r bits.
Round about 95% Chance to living in a Simulation
<u>Twitch</u> is an online service that comprises original content in the form of live or recorded streams and it is typically focused on showing various individuals that are playing video games.
Twitch is an online (web) service that was launched in June 2011 and it derived its name from twitch gaming such as video games that are mainly about fast action and the use of reflexes by the game players.
The main purpose of Twitch is to avail game players the opportunity to stream or show live or recorded videos of themselves playing video games.
Read more: brainly.com/question/21694571
Answer:
Option B is the correct answer for the following question.
Explanation:
The following option is true because the pearsonr from scipy module is the method of the Python Programming Language in the submodule i.e., "scipy.stats" which print or return P-value for operating the hypothesis test for the value of correlation coefficient. So, that's why the following option is correct.
I am not sure what the 'following's are
but it should result the sum of all cells between and including C5 and C18.
