Question

One hundred identical coins, each with probability, $$p,$$ of showing up heads are tossed once. If 0 < $$p$$ < 1 and the probabilitity of heads showing on 50 coins is equal to that of heads showing on 51 coins, then the value of $$p$$ is

A. $$\frac{1}{2}$$
B. $$\frac{49}{101}$$
C. $$\frac{50}{101}$$
D. $$\frac{51}{101}$$  
Answer :   $$\frac{51}{101}$$
Solution :
Prob. of one coin showing head = $$p$$
∴ Prob. of one coin showing tail = $$1 - p$$
ATQ coin is tossed 100 times and prob. of 50 coins showing head = prob. of 51 coins showing head.
Using binomial prob. distribution
$$\eqalign{ & P\left( {X = r} \right) = \,{\,^n}{C_r}{p^r}{q^{n - r}}, \cr & {\text{we get,}}{{\text{ }}^{100}}{C_{50}}{p^{50}}{\left( {1 - p} \right)^{50}} = {\,^{100}}{C_{51}}{p^{51}}{\left( {1 - p} \right)^{49}} \cr & \Rightarrow \,\,\frac{{1 - p}}{p} = \frac{{^{100}{C_{51}}}}{{^{100}{C_{50}}}} = \frac{{50!50!}}{{51!49!}} = \frac{{50}}{{51}} \cr & \Rightarrow \,\,51 - 51p = 50p \cr & \Rightarrow \,\,101p = 51 \cr & \Rightarrow \,\,p = \frac{{51}}{{101}} \cr} $$

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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