Answer:
The probability that she succeeds at 10 or more free-throws in a sample of 12 free-throws is 0.5584.
Step-by-step explanation:
For each free throw, there are only two possible outcomes. Either it is a success, or it is not. The probability of a free throw being a success is independent of other free throws. So we use the binomial probability distibution 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.
Sample of 12 free throws.
This means that 
The probability that Shruti succeeds at any given free-throw is 80%, percent.
This means that 
Probability that she succeeds at 10 or more free-throws in a sample of 12 free-throws.

Then





The probability that she succeeds at 10 or more free-throws in a sample of 12 free-throws is 0.5584.
<span>3 4/6 + 1 3/6 = 4 7/6 = 5 1/6
5 1/6 is between 5 and 6
answer is </span><span>5&6 (second choice)</span>
D
Step-by-step explanation:
The number of guests is the independent variable and should be between 1 and 50. We can use a scale of 10's
The cost is the dependent variable and the minimum cost is 100 and should rise from there
The scale would be from 100 's
Answer:
its below
Step-by-step explanation:
a) (0,1) (-1,2) (1,2) (2,5) (-2,5)
b) (0, -1, 1, 2, -2)
c) (1,2,5,5)
#4 a) f(-5) = 39
b) f(1) = -9
Step-by-step explanation:
