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Question: A fair coin is tossed four times. Let \[X\] denote a string of heads occurring, find the probability...

A fair coin is tossed four times. Let XX denote a string of heads occurring, find the probability distribution, mean and variance of XX .

Explanation

Solution

Probability distribution: A probability distribution is a statistical function that describes all the possible value and likelihoods that a random variable can take within a given range.
Mean: Mean is the simple mathematical average of a set of two or more numbers.
mean =PiXi= \sum {\,{P_i}{X_i}}
Variance: Variance is the expected value of the squared variation of a random variable from its mean value, in probability and statistic.
=PiXi2(Mean)2= \sum {\,{P_i}{X_i}^2 - {{(Mean)}^2}}

Complete step by step answer:
A fair coin is tossed four times. Let XX denote the number of heads occurring.
As we know, If a coin is tossed 44 times, then the possible outcomes are: HHHH,HHHT,HHTT,HTTT,THHH,....HHHH,HHHT,HHTT,HTTT,THHH,\,....
Total number of outcomes of this will be =16 = 16 .
XX can take the values 0,1,2,30,1,2,3 and 44 .
Let when there is n number of head in 44 coin;
Then, number of such combination will be 4Cn=4!n!(4n)!^4{C_n} = \dfrac{{4!}}{{n!(4 - n)!}}
Here, n>4n > 4
Now, we can write;
When zero head;
P(X=0)=P(0head)=116P\left( {X = 0} \right) = P\left( {0\,head} \right) = \dfrac{1}{{16}}
When one head;
P(X=1)=P(1head)=416P\left( {X = 1} \right) = P\left( {1\,head} \right) = \dfrac{4}{{16}}
When two head;
P(X=2)=P(2heads)=616P\left( {X = 2} \right) = P\left( {2\,heads} \right) = \dfrac{6}{{16}}
When three head;
P(X=3)=P(3heads)=416P\left( {X = 3} \right) = P\left( {3\,heads} \right) = \dfrac{4}{{16}}
When four head;
P(X=4)=P(4heads)=116P\left( {X = 4} \right) = P\left( {4\,heads} \right) = \dfrac{1}{{16}}
Thus, the probability distribution of XX is given by

XXP(X)P(X)
00116\dfrac{1}{{16}}
11416\dfrac{4}{{16}}
22616\dfrac{6}{{16}}
33416\dfrac{4}{{16}}
44116\dfrac{1}{{16}}

Computation of mean and variance. We will create table as per given below;

Xi{X_i}Pi{P_i}PiXi{P_i}{X_i}PiXi2{P_i}{X_i}^2
00116\dfrac{1}{{16}}0000
11416\dfrac{4}{{16}}416\dfrac{4}{{16}}416\dfrac{4}{{16}}
22616\dfrac{6}{{16}}1216\dfrac{{12}}{{16}}2416\dfrac{{24}}{{16}}
33416\dfrac{4}{{16}}1216\dfrac{{12}}{{16}}3616\dfrac{{36}}{{16}}
44116\dfrac{1}{{16}}416\dfrac{4}{{16}}11
PiXi=2\sum {{P_i}{X_i} = 2} PiXi2=5\sum {{P_i}{X_i}^2 = 5}

Mean =PiXi=2 = \sum {\,{P_i}{X_i}} = 2
Variance =PiXi2(Mean)2= \sum {\,{P_i}{X_i}^2 - {{(Mean)}^2}}
Keeping value in it. We get,
=54= 5 - 4
=1= 1

Note: Probability is applied in everyday life in risk assessment and modeling. The insurance industry and markets use actuarial science to determine pricing and make trading decisions. Government apply probabilistic methods in environmental regulation, entitlement analysis and financial regulation.