• retagged by
601 views

1 Answer

0 0 votes
Probability of getting head = $\frac{1}{2}$

Probability of not getting head = probability of getting tail = $\frac{1}{2}$

Coin is tossed odd number of times untill it’s get first head,

i.e., required outcomes of these trials = {$H,TTH,TTTTH,...$}

So, required probability of getting these outcomes $= \frac{1}{2}+(\frac{1}{2})^3+(\frac{1}{2})^5+….$

$$=\frac{\frac{1}{2}}{1-\frac{1}{4}}=\frac{2}{3}$$

Correct Answer: $C$
Answer:
Position:
Show:

Related questions

0 0 votes
0 0 answers
639
639 views
Milicevic3306 asked Mar 25, 2018
639 views
A binary symmetric channel (BSC) has a transition probability of $\frac{1}{8}$. If the binary transmit symbol $X$ is such that $P(X=0)\:=\:\frac{9}{10}$, then the probabi...
0 0 votes
0 0 answers
373
373 views
Milicevic3306 asked Mar 25, 2018
373 views
Two independent random variables $X$ and $Y$ are uniformly distributed in the interval $[-1,1]$. The probability that max$[X,Y]$ is less than $\frac{1}{2}$ is$\frac{3}{4}...
0 0 votes
0 0 answers
646
646 views
Milicevic3306 asked Mar 25, 2018
646 views
A source alphabet consists of $N$ symbols with the probability of the first two symbols being the same. A source encoder increases the probability of the first symbol by ...
0 0 votes
0 0 answers
397
397 views
Milicevic3306 asked Mar 25, 2018
397 views
$A$ and $B$ are friends. They decide to meet between $1:00$pm and $2:00$ pm on a given day. There is a condition that whoever arrives first will not wait for the other fo...

Add Synced Question

×