Question

$$6$$ coins are tossed together $$64$$  times. If throwing a head is considered as a success then the expected frequency of at least $$3$$ successes is :

A. $$64$$
B. $$21$$
C. $$32$$
D. $$42$$  
Answer :   $$42$$
Solution :
$$\eqalign{ & {\text{Here, }}p = \frac{1}{2},\,\,q = 1 - p = 1 - \frac{1}{2} = \frac{1}{2} \cr & n = 6,\,N = 64 \cr & {\text{Then,}} \cr & p\left( r \right) = {}^n{C_r}\,{p^r}{q^{n - r}} \cr & = {}^6{C_r}{\left( {\frac{1}{2}} \right)^r}.{\left( {\frac{1}{2}} \right)^{6 - r}} \cr & = {}^6{C_r}{\left( {\frac{1}{2}} \right)^6} \cr & \therefore \,f\left( r \right) = Np\left( r \right) \cr & = 64.{}^6{C_r}.\frac{1}{{64}} \cr & = {}^6{C_r} \cr & {\text{Now, }}\sum\limits_3^6 {p\left( r \right)} = p\left( 3 \right) + p\left( 4 \right) + p\left( 5 \right) + p\left( 6 \right) \cr & = \left( {{}^6{C_3} + {}^6{C_4} + {}^6{C_5} + {}^6{C_6}} \right)\frac{1}{{{2^6}}} \cr & = \left( {{2^6} - {}^6{C_0} - {}^6{C_1} - {}^6{C_2}} \right)\frac{1}{{{2^6}}} \cr & = \left( {64 - 1 - 6 - 15} \right)\frac{1}{{{2^6}}} \cr & = \frac{{42}}{{64}} \cr & = \frac{{21}}{{32}} \cr & \therefore \,f{\left( r \right)_{r \geqslant 3}} = N\sum\limits_3^6 {p\left( r \right)} = 64.\frac{{21}}{{32}} = 42 \cr} $$

Releted MCQ Question on
Statistics and Probability >> Probability

Releted Question 1

Two fair dice are tossed. Let $$x$$ be the event that the first die shows an even number and $$y$$ be the event that the second die shows an odd number. The two events $$x$$ and $$y$$ are:

A. Mutually exclusive
B. Independent and mutually exclusive
C. Dependent
D. None of these
Releted Question 2

Two events $$A$$ and $$B$$ have probabilities 0.25 and 0.50 respectively. The probability that both $$A$$ and $$B$$ occur simultaneously is 0.14. Then the probability that neither $$A$$ nor $$B$$ occurs is

A. 0.39
B. 0.25
C. 0.11
D. none of these
Releted Question 3

The probability that an event $$A$$ happens in one trial of an experiment is 0.4. Three independent trials of the experiment are performed. The probability that the event $$A$$ happens at least once is

A. 0.936
B. 0.784
C. 0.904
D. none of these
Releted Question 4

If $$A$$ and $$B$$ are two events such that $$P(A) > 0,$$   and $$P\left( B \right) \ne 1,$$   then $$P\left( {\frac{{\overline A }}{{\overline B }}} \right)$$  is equal to
(Here $$\overline A$$ and $$\overline B$$ are complements of $$A$$ and $$B$$ respectively).

A. $$1 - P\left( {\frac{A}{B}} \right)$$
B. $$1 - P\left( {\frac{{\overline A }}{B}} \right)$$
C. $$\frac{{1 - P\left( {A \cup B} \right)}}{{P\left( {\overline B } \right)}}$$
D. $$\frac{{P\left( {\overline A } \right)}}{{P\left( {\overline B } \right)}}$$

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Probability


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