Solveeit Logo

Question

Question: A letter is known to have come down either from \[LONDON\] or \[CLIFTON\]. On the envelope just two ...

A letter is known to have come down either from LONDONLONDON or CLIFTONCLIFTON. On the envelope just two consecutive letters ONON are visible. What is the probability that the letter has come from
(i) LONDONLONDON
(ii) CLIFTONCLIFTON

Explanation

Solution

Hint: To calculate the probability of getting the letters ONON from the words LONDONLONDON and CLIFTONCLIFTON, use conditional probability and Bayes Formula for finding the probability of an event AA (which is the ratio of number of favourable outcomes to the total number of outcomes) given two other events BB and CC which states that P(A)=P(AB)P(B)+P(AC)P(C)P\left( A \right)=P\left( A|B \right)P\left( B \right)+P\left( A|C \right)P\left( C \right).

We have the words LONDONLONDON and CLIFTONCLIFTON. We have to find the probability of getting two consecutive letters ONON from each of the two words.

We know that probability of any event is defined as the ratio of number of favourable outcomes to the number of possible outcomes. We will find the probability of getting ONON from each case.

Let’s denote the event of getting letters ONON by AA and the probability of getting letters LONDONLONDON and CLIFTONCLIFTON by BB and CC respectively.

As we have equal chances of occurring of letters LONDONLONDON and CLIFTONCLIFTON , we have P(B)=P(C)=12P\left( B \right)=P\left( C \right)=\dfrac{1}{2}.

We will evaluate the probability of getting ONON from word LONDONLONDON.
We will find all the possible consecutive two letter words from the word LONDONLONDON. The possible two letter consecutive words from the word LONDONLONDON are LO,ON,ND,DO,ON\\{LO,ON,ND,DO,ON\\}.

The number of times the word ONON occurs is 22 and the number of possible outcomes are 55.

Thus, the probability of getting ONON from word LONDON$$$$=P\left( A|B \right)=\dfrac{2}{5}.

Similarly, we will evaluate the probability of getting ONON from word CLIFTONCLIFTON.
We will find all the possible consecutive two letter words from the word CLIFTONCLIFTON. The possible two letter consecutive words from the word CLIFTONCLIFTON are CL,LI,IF,FT,TO,ON\\{CL,LI,IF,FT,TO,ON\\}.
The number of times the word ONON occurs is 11 and the number of possible outcomes are 66.

Thus, the probability of getting ONON from word CLIFTON$$$$=P\left( A|C \right)=\dfrac{1}{6}.

So, the probability of getting ON=P(A)=P(AB)P(B)+P(AC)P(C)ON=P\left( A \right)=P\left( A|B \right)P\left( B \right)+P\left( A|C \right)P\left( C \right).

Thus, we have P(A)=25×12+16×12=1760P\left( A \right)=\dfrac{2}{5}\times \dfrac{1}{2}+\dfrac{1}{6}\times \dfrac{1}{2}=\dfrac{17}{60}.

(i) We have to find the probability of getting ONON from LONDONLONDON given that the letters ONON are already on the envelope.

Probability of getting ONON from LONDONLONDON given that ONON is already on the envelope =P(BA)=P(AB)P(B)P(A)=25×121760=1217=P\left( B|A \right)=\dfrac{P\left( A|B \right)P\left( B \right)}{P\left( A \right)}=\dfrac{\dfrac{2}{5}\times \dfrac{1}{2}}{\dfrac{17}{60}}=\dfrac{12}{17}.
(ii) We have to find the probability of getting ONON from CLIFTONCLIFTON given that the letters ONON are already on the envelope.

Probability of getting ONON from CLIFTONCLIFTON given that ONON is already on the envelope =P(BA)=P(AC)P(C)P(A)=16×121760=517=P\left( B|A \right)=\dfrac{P\left( A|C \right)P\left( C \right)}{P\left( A \right)}=\dfrac{\dfrac{1}{6}\times \dfrac{1}{2}}{\dfrac{17}{60}}=\dfrac{5}{17}.

Hence, the probability of getting ONON from LONDONLONDON is 1217\dfrac{12}{17} and from CLIFTONCLIFTON is 517\dfrac{5}{17}.

Note: Probability of any event describes how likely an event is to occur or how likely it is that a proposition is true. The value of probability of any event always lies in the range [0,1]\left[ 0,1 \right] where having 00 probability indicates that the event is impossible to happen, while having probability equal to 11 indicates that the event will surely happen. Conditional probability of an event AA is the probability of occurrence of event AA given that event BB has already occurred.