Answer:
The probability that all three have type B+ blood is 0.001728
Step-by-step explanation:
For each person, there are only two possible outcomes. Either they have type B+ blood, or they do not. The probability of a person having type B+ blood is independent of any other person. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

In which
is the number of different combinations of x objects from a set of n elements, given by the following formula.

And p is the probability of X happening.
The probability that a person in the United States has type B+ blood is 12%.
This means that 
Three unrelated people in the United States are selected at random.
This means that 
Find the probability that all three have type B+ blood.
This is P(X = 3).


The probability that all three have type B+ blood is 0.001728
Answer:
I think it is maybe 19% but Idk.
Because 14 would seem to low without work and the other are pretty high so im just guessing.
Answer:
The ratios are not equal
Step-by-step explanation:
Let
x ----> the number of dimes
y ----> the number of quarters
we know that
<em> Suri's coin purse</em>
x=6, y=4
The ratio of dimes to quarters is

<em> Martha's coin purse</em>
x=5, y=3
The ratio of dimes to quarters is

Compare the ratios

therefore
The ratios are not equal
We take the distance from points which indicates the location of the park and the mall.
For distance through north and east, we have positive values and negative for west and south.
Mall: (-3, -4)
Park: (3, 5)
The distance is calculate through the equation,
d = sqrt ((x₂ - x₁)² + (y₂ - y₁)²)
Substituting,
d = sqrt ((-4 - 5)² + (-3 - 3)²
d = sqrt 117 = 10.82
Thus, the distance between the mall and the park is approximately 10.82 miles.
First of all we need to know when does two events become independent:
For the two events to be independent, that is if condition on one does not effect the probability of other event.
Here, in our case the only option that satisfies the condition for the events to be independent is . Rest are not in accordance with the definition of independent events.