Answer:
volume of the square pyramid is:
V = s2h/3
where s=side length and h= height
for square pyramid A
h(a)= 8in and s(a)=12in
volume of square pyramid for A =
V(a)=s2(a) h(a)/3
V(a)=122 . 8/3 \implies⟹ 144 . 8/3 \implies⟹ 1152/3 \implies⟹ 384 in3
for square pyramid B
h(b)=24in and s(b)=36in
volume of square pyramid for B =
V(b)=s2(b) h(b)/3
V(b)=362 . 24/3 \implies⟹ 1296 . 24/3 \implies⟹ 31104/3 \implies⟹ 10368 in3
We want to know how many times the volume of pyramid B is bigger than pyramid A :
= V(b)/V(a)
=10368/384
= 27 times
Step-by-step explanation:
hope this helps if not let me know have a great day
One way to write 18/6 is to compute 18/6 to be the whole number of a quotient that is equal to. Another way to write 18/6 is to write it as an improper fraction that's reduced. One more way to write 18/6 is as a decimal. Note how all of these ways of writing the same expression are all equal to writing one same value, and it's the WAY in which you modify what you're writing.
One possible outfit is available because 1 pair of pants and 1 shirt is one outfit
Answer:
For this case we can use the probability mass function and we got:

Step-by-step explanation:
Previous concepts
A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
The probability mass function for the Binomial distribution is given as:
Where (nCx) means combinatory and it's given by this formula:
Solution to the problem
Let X the random variable of interest, on this case we now that:
For this case we can use the probability mass function and we got:
