Answer:
84.38% probability that he succeeds on at least two of them
Step-by-step explanation:
For each free throw, there are only two possible outcomes. Either Giannis makes it, or he does not. The free throws are independent. 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.
He has a 3/4 probability of success.
This means that 
Giannis shoots three free throws
This means that 
What is the probability that he succeeds on at least two of them





84.38% probability that he succeeds on at least two of them
By definition we have the following equation:
t = d / v
Where,
t: time
d: distance
v: speed
For this case we have:
d / 30 + d / 4 = 17
Rewriting we have:
2d + 15d = 17 (60)
17d = 17 (60)
d = 60 mi
Then, the walking time is
t = d / v
t = 60/4
t = 15 hours
Answer:
She walked
t = 15 hours
Answer:
Y=20
X=10
Step-by-step explanation:
The standard notation would be 5,380.67. Hope this helps!<span />
Answer:
a.
b.
\
c.
Step-by-step explanation:
Let
are the events that denotes the good drive, medium drive and poor risk driver.

Let A be the event that denotes an accident.



The company sells Mr. Brophyan insurance policy and he has an accident.
a.We have to find the probability Mr.Brophy is a good driver
Bayes theorem,
We have to find 
Using the Bayes theorem

Substitute the values then we get


b.We have to find the probability Mr.Brophy is a medium driver

c.We have to find the probability Mr.Brophy is a poor driver
