Answer:
The time elapsed is 0.017224 s
Solution:
As per the question:
Analog signal to digital bit stream conversion by Host A =64 kbps
Byte packets obtained by Host A = 56 bytes
Rate of transmission = 2 Mbps
Propagation delay = 10 ms = 0.01 s
Now,
Considering the packets' first bit, as its transmission is only after the generation of all the bits in the packet.
Time taken to generate and convert all the bits into digital signal is given by;
t = 
t = 
(Since, 1 byte = 8 bits)
t = 7 ms = 0.007 s
Time Required for transmission of the packet, t':
Now, the time elapse between the bit creation and its decoding is given by:
t + t' + propagation delay= 0.007 + 
+ 0.01= 0.017224 s
Answer:
Mohammed doesn't believe the cyberbullying exists.
Explanation:
If he knew he wouldn't say they are teasing him. I mean, how would their parents know he is being cyberbullied without evidence? Text messages(such as imessages) are most likely on phones, and not on computers.(Unless its an mac I believe.) And they are bullying him; its not using technology positively.
Answer:
You should consider the number of cells needed for data, labels, titles, and formulas.
Explanation:
Answer:
A “breadcrumb” (or “breadcrumb trail”) is a type of secondary navigation scheme that reveals the user's location in a website or Web application. The term comes from the Hansel and Gretel fairy tale in which the two title children drop breadcrumbs to form a trail back to their home.
Explanation:
A breadcrumb or breadcrumb trail is a graphical control element frequently used as a navigational aid in user interfaces and on web pages. It allows users to keep track and maintain awareness of their locations within programs, documents, or websites. Breadcrumbs make it easier for users to navigate a website – and they encourage users to browse other sections of the site. ... You head to their site and end up on The Nestle company history page. Using their breadcrumbs, you can easily navigate back to About Us, History, or even their home page.
Answer:
import pandas as pd #importing pandas library as pd
import matplotlib.pyplot as plt #importing matplotlib.pyplot as plt
pop=pd.read_csv('nycHistPop.csv') #reading the csv file
borough=input('Enter borough name:') #asking the user for borough namme
# image=input('Enter image name:')
# pop['Fraction']=pop[borough]/pop['Total']
# pop.plot(x='Year', y='Fraction')
print("Minimum population",pop[borough].min()) #printing the minimum population of borough
print("Maximum population",pop[borough].max()) #printing the maximum population of borough
print("Average population",pop[borough].mean()) #printing the average population of borough
print("Standard deviation",pop[borough].std()) #printing the standard deviation of borough
# fig=plt.gcf()
# fig.savefig(image)
Explanation:
