Captain Umaima has a ship, the H.M.S. Khan. The ship is two furlongs from the dread pirate Nadia and her merciless band of thieves. The Captain has probability 3/7 of hitting the pirate ship. The pirate only has one good eye, so she hits the Captain's ship with probability 2/5. If both fire their cannons at the same time, what is the probability that the Captain hits the pirate ship, but the pirate misses.

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Answer:

[tex]\frac{9}{35}[/tex].

Step-by-step explanation:

We have been given that captain Umaima has probability 3/7 of hitting the pirate ship.

The pirate only has one good eye, so she hits the Captain's ship with probability 2/5.

The probability that pirate misses the captain's ship will be:

[tex]\text{Probability that pirate misses captain's ship}=\text{1-probability that pirate hits captain's ship}[/tex]    

[tex]\text{Probability that pirate misses captain's ship}=1-\frac{2}{5}[/tex]  

[tex]\text{Probability that pirate misses captain's ship}=\frac{5}{5}-\frac{2}{5}[/tex]

[tex]\text{Probability that pirate misses captain's ship}=\frac{5-2}{5}[/tex]    

[tex]\text{Probability that pirate misses captain's ship}=\frac{3}{5}[/tex]  

So the probability that pirate misses captain's ship will be 3/5.

Since both events are independent, so by the multiplication rule of probability we will get,

[tex]\text{Probability that captain hits the pirate ship, but pirate misses captain's ship}=\frac{3}{7}\times \frac{3}{5}[/tex]

[tex]\text{Probability that captain hits the pirate ship, but pirate misses captain's ship}=\frac{3*3}{7*5}[/tex]

[tex]\text{Probability that captain hits the pirate ship, but pirate misses captain's ship}=\frac{9}{35}[/tex]

Therefore, the probability that the Captain hits the pirate ship, but the pirate misses will be [tex]\frac{9}{35}[/tex].

The probability that the Captain hits the pirate ship, but the pirate misses is 9/35

What is chain rule in probability?

For two events A and B, by chain rule, we have:

[tex]P(A \cap B) = P(B)P(A|B) = P(A)P(B|A)[/tex]

where P(A|B) is probability of occurrence of A given that B already occurred.

How to find if two events are independent?

Suppose that two events are denoted by A and B.

They are said to be independent event if and only if:

[tex]P(A \cap B) = P(A)P(B)[/tex]

It is because

[tex]P(A|B) = P(A)\\P(B|A) = P(B)[/tex]

and therefore, using chain rule and above facts gives:

[tex]P(A \cap B) = P(A)P(B)[/tex]

So, we're specified that:

  • Probability that Captain hist the pirate ship = 3/7
  • Probability that the pirate hits th captain's ship = 2/5

Let we take two events as:

  • A = event that captain successfully hits the pirate ship
  • B = event that pirate misses from hitting the captain's ship.

P(A) = 3/7 as given.

P(B) = 1 - P(event that pirate hits the captain's ship) = 1 - 2/5 = 3/5

Then, the event that Captain hits the pirate ship, but the pirate misses is the intersection of A and B both.

So, P( Captain hits the pirate ship, but the pirate misses) = P(A∩B)

A and B are independent of each other, so we get:

Thus, using the above fact and the chain rule, we get:

[tex]P(A \cap B) = P(A)P(B|A) = P(A)P(B) = \dfrac{3}{7} \times \dfrac{3}{5} = \dfrac{9}{35}[/tex]

Thus, the probability that the Captain hits the pirate ship, but the pirate misses is 9/35

Learn more about probability here:

brainly.com/question/1210781