Answer:
Check the explanation
Explanation:
223.1.17/24 indicates that out of 32-bits of IP address 24 bits have been assigned as subnet part and 8 bits for host id.
The binary representation of 223.1.17 is 11011111 00000001 00010001 00000000
Given that, subnet 1 has 63 interfaces. To represent 63 interfaces, we need 6 bits (64 = 26)
So its addresses can be from 223.1.17.0/26 to 223.1.17.62/26
Subnet 2 has 95 interfaces. 95 interfaces can be accommodated using 7 bits up to 127 host addresses can represented using 7 bits (127 = 27)
and hence, the addresses may be from 223.1.17.63/25 to 223.1.17.157/25
Subnet 3 has 16 interfaces. 4 bits are needed for 16 interfaces (16 = 24)
So the network addresses may range from 223.1.17.158/28 to 223.1.17.173/28
Answer:
True
Explanation:
Using the t-distribution table, the critical value for a one-tailed test with 6 degrees of freedom and 0.05 significance level is 2.447
Conclusion:
Reject the null hypothesis because the test statistic 2.045 is less than the critical value 2.447
Answer:
ValueError
Explanation:
Required
Determine the error the program returned
The above will return a ValueError error and the reason is as follows.
The first line of the program initializes variable as 'live'.
The next line tries to convert answer to integer and this is where it returns the error'.
On the second line, variable amount expects that the answer variable to contain number e.g. '567' but because it doesn't contain a complete number (i.e. unexpected values), the program returns a ValueError.
ANSWER:
B.
Transforming the data might help Mary notice a different pattern that makes a bigger impact on bus routes than regions of the City.
EXPLANATION:
Mary can check if there are other things or factors that might influence where the bus routes need to be prioritized. For example if the students' age is considered for the bus routes instead of regions. She can achieve this by
By Re-sorting or Transforming the data.
That is to say she will be able to find out if it is only region or if there are different patterns that makes bigger impacts on bus routes, by transforming the data.
