Write the probability distribution when three coins are tossed.
(a)
\[X\] 0 1 2 3 \[P\left( X \right)\] \[\dfrac{1}{8}\] \[\dfrac{3}{8}\] \[\dfrac{3}{8}\] \[\dfrac{1}{8}\]
(b)
\[X\] 0 1 2 3 \[P\left( X \right)\] \[\dfrac{1}{8}\] \[\dfrac{3}{8}\] \[\dfrac{5}{8}\] \[\dfrac{7}{8}\]
(c)
\[X\] 0 1 2 3 \[P\left( X \right)\] \[\dfrac{7}{8}\] \[\dfrac{5}{8}\] \[\dfrac{3}{8}\] \[\dfrac{1}{8}\]
(d)
\[X\] 0 1 2 3 \[P\left( X \right)\] \[\dfrac{1}{8}\] \[\dfrac{3}{8}\] \[\dfrac{5}{8}\] \[\dfrac{1}{8}\]
| \[X\] | 0 | 1 | 2 | 3 |
| \[P\left( X \right)\] | \[\dfrac{1}{8}\] | \[\dfrac{3}{8}\] | \[\dfrac{3}{8}\] | \[\dfrac{1}{8}\] |
| \[X\] | 0 | 1 | 2 | 3 |
| \[P\left( X \right)\] | \[\dfrac{1}{8}\] | \[\dfrac{3}{8}\] | \[\dfrac{5}{8}\] | \[\dfrac{7}{8}\] |
| \[X\] | 0 | 1 | 2 | 3 |
| \[P\left( X \right)\] | \[\dfrac{7}{8}\] | \[\dfrac{5}{8}\] | \[\dfrac{3}{8}\] | \[\dfrac{1}{8}\] |
| \[X\] | 0 | 1 | 2 | 3 |
| \[P\left( X \right)\] | \[\dfrac{1}{8}\] | \[\dfrac{3}{8}\] | \[\dfrac{5}{8}\] | \[\dfrac{1}{8}\] |
Answer
642.6k+ views
Hint: We solve this problem by using the Bernoulli trials or binomial distribution. Here, if \['n'\] is number of times the event repeated and \['p,q'\] are probabilities of getting the particular result and not getting the particular result respectively then the probability distribution is given as
\[P\left( X=x \right)={}^{n}{{C}_{x}}.{{p}^{x}}.{{q}^{n-x}}\]
By using the above formula we find the probability distribution for \[x=0,1,2,3\].
Complete step by step answer:
We are given that the coin is tossed 3 times, so, let us assume
\[\Rightarrow n=3\]
Let us find the probability distribution of getting the head.
We know that is a coin is tossed then the probability of getting a head is given as
\[p=\dfrac{1}{2}\]
Similarly, we know that the probability of not getting a head as
\[q=\dfrac{1}{2}\]
Here, we can say that this distribution is Bernoulli trails.
We know that if \['n'\] is number of times the event repeated and \['p,q'\] are probabilities of getting the particular result and not getting the particular result respectively then the probability distribution is given as
\[P\left( X=x \right)={}^{n}{{C}_{x}}.{{p}^{x}}.{{q}^{n-x}}\]
Now, by substituting the required values in above formula we get
\[\Rightarrow P\left( X=x \right)={}^{3}{{C}_{x}}.{{\left( \dfrac{1}{2} \right)}^{x}}.{{\left( \dfrac{1}{2} \right)}^{3-x}}........equation(i)\]
Now, let us find the probability distribution for\[x=0,1,2,3\]
By substituting \[x=0\] in equation (i) we get
\[\begin{align}
& \Rightarrow P\left( X=0 \right)={}^{3}{{C}_{0}}.{{\left( \dfrac{1}{2} \right)}^{0}}.{{\left( \dfrac{1}{2} \right)}^{3-0}} \\
& \Rightarrow P\left( X=0 \right)=1\times 1\times \dfrac{1}{8}=\dfrac{1}{8} \\
\end{align}\]
Similarly, by substituting \[x=1\] in equation (i) we get
\[\begin{align}
& \Rightarrow P\left( X=1 \right)={}^{3}{{C}_{1}}.{{\left( \dfrac{1}{2} \right)}^{1}}.{{\left( \dfrac{1}{2} \right)}^{3-1}} \\
& \Rightarrow P\left( X=1 \right)=3\times \dfrac{1}{2}\times \dfrac{1}{4}=\dfrac{3}{8} \\
\end{align}\]
Similarly, by substituting \[x=2\] in equation (i) we get
\[\begin{align}
& \Rightarrow P\left( X=2 \right)={}^{3}{{C}_{2}}.{{\left( \dfrac{1}{2} \right)}^{2}}.{{\left( \dfrac{1}{2} \right)}^{3-2}} \\
& \Rightarrow P\left( X=2 \right)=3\times \dfrac{1}{2}\times \dfrac{1}{2}=\dfrac{3}{8} \\
\end{align}\]
Similarly, by substituting \[x=3\] in equation (i) we get
\[\begin{align}
& \Rightarrow P\left( X=3 \right)={}^{3}{{C}_{3}}.{{\left( \dfrac{1}{2} \right)}^{3}}.{{\left( \dfrac{1}{2} \right)}^{3-3}} \\
& \Rightarrow P\left( X=3 \right)=1\times \dfrac{1}{8}\times 1=\dfrac{1}{8} \\
\end{align}\]
Now, let us create a table containing the values of \[x,P\left( X \right)\] to get the probability distribution.
So, the correct answer is “Option a”.
Note: Students will make mistakes in calculating the probability distribution for \[x=1,2,3\]. We have the formula for binomial distribution as
\[\Rightarrow P\left( X=x \right)={}^{3}{{C}_{x}}.{{\left( \dfrac{1}{2} \right)}^{x}}.{{\left( \dfrac{1}{2} \right)}^{3-x}}\]
While calculating the probability distribution for \[x=1,2,3\], they may calculate as
\[\Rightarrow P\left( X\le 1 \right)=P\left( X=0 \right)+P\left( X=1 \right)\]
\[\Rightarrow P\left( X\le 2 \right)=P\left( X=0 \right)+P\left( X=1 \right)+P\left( X=2 \right)\]
\[\Rightarrow P\left( X\le 3 \right)=P\left( X=0 \right)+P\left( X=1 \right)+P\left( X=2 \right)+P\left( X=3 \right)\]
This will give the wrong answer because the above mentioned formulas are for getting the head at least 1, 2, 3 respectively. But as we need only distribution we no need to go for at least. This part needs to be taken care of.
\[P\left( X=x \right)={}^{n}{{C}_{x}}.{{p}^{x}}.{{q}^{n-x}}\]
By using the above formula we find the probability distribution for \[x=0,1,2,3\].
Complete step by step answer:
We are given that the coin is tossed 3 times, so, let us assume
\[\Rightarrow n=3\]
Let us find the probability distribution of getting the head.
We know that is a coin is tossed then the probability of getting a head is given as
\[p=\dfrac{1}{2}\]
Similarly, we know that the probability of not getting a head as
\[q=\dfrac{1}{2}\]
Here, we can say that this distribution is Bernoulli trails.
We know that if \['n'\] is number of times the event repeated and \['p,q'\] are probabilities of getting the particular result and not getting the particular result respectively then the probability distribution is given as
\[P\left( X=x \right)={}^{n}{{C}_{x}}.{{p}^{x}}.{{q}^{n-x}}\]
Now, by substituting the required values in above formula we get
\[\Rightarrow P\left( X=x \right)={}^{3}{{C}_{x}}.{{\left( \dfrac{1}{2} \right)}^{x}}.{{\left( \dfrac{1}{2} \right)}^{3-x}}........equation(i)\]
Now, let us find the probability distribution for\[x=0,1,2,3\]
By substituting \[x=0\] in equation (i) we get
\[\begin{align}
& \Rightarrow P\left( X=0 \right)={}^{3}{{C}_{0}}.{{\left( \dfrac{1}{2} \right)}^{0}}.{{\left( \dfrac{1}{2} \right)}^{3-0}} \\
& \Rightarrow P\left( X=0 \right)=1\times 1\times \dfrac{1}{8}=\dfrac{1}{8} \\
\end{align}\]
Similarly, by substituting \[x=1\] in equation (i) we get
\[\begin{align}
& \Rightarrow P\left( X=1 \right)={}^{3}{{C}_{1}}.{{\left( \dfrac{1}{2} \right)}^{1}}.{{\left( \dfrac{1}{2} \right)}^{3-1}} \\
& \Rightarrow P\left( X=1 \right)=3\times \dfrac{1}{2}\times \dfrac{1}{4}=\dfrac{3}{8} \\
\end{align}\]
Similarly, by substituting \[x=2\] in equation (i) we get
\[\begin{align}
& \Rightarrow P\left( X=2 \right)={}^{3}{{C}_{2}}.{{\left( \dfrac{1}{2} \right)}^{2}}.{{\left( \dfrac{1}{2} \right)}^{3-2}} \\
& \Rightarrow P\left( X=2 \right)=3\times \dfrac{1}{2}\times \dfrac{1}{2}=\dfrac{3}{8} \\
\end{align}\]
Similarly, by substituting \[x=3\] in equation (i) we get
\[\begin{align}
& \Rightarrow P\left( X=3 \right)={}^{3}{{C}_{3}}.{{\left( \dfrac{1}{2} \right)}^{3}}.{{\left( \dfrac{1}{2} \right)}^{3-3}} \\
& \Rightarrow P\left( X=3 \right)=1\times \dfrac{1}{8}\times 1=\dfrac{1}{8} \\
\end{align}\]
Now, let us create a table containing the values of \[x,P\left( X \right)\] to get the probability distribution.
| \[X\] | 0 | 1 | 2 | 3 |
| \[P\left( X \right)\] | \[\dfrac{1}{8}\] | \[\dfrac{3}{8}\] | \[\dfrac{3}{8}\] | \[\dfrac{1}{8}\] |
So, the correct answer is “Option a”.
Note: Students will make mistakes in calculating the probability distribution for \[x=1,2,3\]. We have the formula for binomial distribution as
\[\Rightarrow P\left( X=x \right)={}^{3}{{C}_{x}}.{{\left( \dfrac{1}{2} \right)}^{x}}.{{\left( \dfrac{1}{2} \right)}^{3-x}}\]
While calculating the probability distribution for \[x=1,2,3\], they may calculate as
\[\Rightarrow P\left( X\le 1 \right)=P\left( X=0 \right)+P\left( X=1 \right)\]
\[\Rightarrow P\left( X\le 2 \right)=P\left( X=0 \right)+P\left( X=1 \right)+P\left( X=2 \right)\]
\[\Rightarrow P\left( X\le 3 \right)=P\left( X=0 \right)+P\left( X=1 \right)+P\left( X=2 \right)+P\left( X=3 \right)\]
This will give the wrong answer because the above mentioned formulas are for getting the head at least 1, 2, 3 respectively. But as we need only distribution we no need to go for at least. This part needs to be taken care of.
Recently Updated Pages
Which of the following graphs shows the variation of class 12 physics CBSE

Draw a labelled diagram of the human male reproductive class 12 biology CBSE

Describe the experiment to compare the emf of two cells class 12 physics CBSE

What is standard hydrogen electrode

What is conventional current and electric current class 12 physics CBSE

2Bromopentane is treated with an alcoholic KOH solution class 12 chemistry CBSE

Trending doubts
Draw a labelled sketch of the human eye class 12 physics CBSE

Which are the Top 10 Largest Countries of the World?

A member of Simon commission later became Prime Minister class 12 social science CBSE

Draw ray diagrams each showing i myopic eye and ii class 12 physics CBSE

Give one example of a reptile that is viviparous class 12 biology CBSE

Which is the correct genotypic ratio of mendel dihybrid class 12 biology CBSE

