(/25) 11111111.11111111.11111111.10000000 dotted decimal subnet mask equivalent: number of subnets? number of hosts? (/26) 11111111.11111111.11111111.11000000 dotted decimal subnet mask equivalent: number of subnets? number of hosts? (/27) 11111111.11111111.11111111.11100000 dotted decimal subnet mask equivalent: number of subnets? number of hosts? (/28) 11111111.11111111.11111111.11110000 dotted decimal subnet mask equivalent: number of subnets? number of hosts? (/29) 11111111.11111111.11111111.11111000 dotted decimal subnet mask equivalent:

Count the number of 1 bits after the last decimal point. Call this number n.

There will be 2^n subnets and 2^(8-n) - 2 hosts per subnet. (You can mutilply the number of subnets by the number of hosts per subnet to find the total number of hosts.)

/25: 255.255.255.128, 2 subnets, 126 hosts per subnet

/26: 255.255.255.192, 4 subnets, 62 hosts per subnet

/27: 255.255.255.224, 8 subnets, 30 hosts per subnet

/28: 255.255.255.240, 16 subnets, 14 hosts per subnet

/29: 255.255.255.248, 32 subnets, 6 hosts per subnet

i think it would be 42cm

85.560%

step-by-step explanation:

conditional probability is defined as:

p(a|b) = p(a∩b) / p(b)

in other words, the probability that a occurs, given that b has occurred = the probability that both a and b occur / the probability that b occurs.

in this example:

p(turns 64 | turns 44) = p(turns 64 & turns 44) / p(turns 44).

if someone turns 64, they must have already turned 44, so:

p(turns 64 | turns 44) = p(turns 64) / p(turns 44)

on page 42, we see that of the original 100,000, 94944 turn 44, and 81234 turn 64.   therefore:

p(turns 64 | turns 44) = 81234 / 94944

p(turns 64 | turns 44) = 0.85560