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Syllabus: Random variables, Uniform, Normal, Exponential, Poisson and Binomial distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem

$$\scriptsize{\overset{{\large{\textbf{Mark Distribution in Previous GATE}}}}{\begin{array}{|c|c|c|c|c|c|c|c|}\hline
\textbf{Year}& \textbf{2022} & \textbf{2021-1}&\textbf{2021-2}&\textbf{2020}&\textbf{2019}&\textbf{2018}&\textbf{2017-1}&\textbf{2017-2}&\textbf{2016-1}&\textbf{2016-2}&\textbf{Minimum}&\textbf{Average}&\textbf{Maximum}
\\\hline\textbf{1 Mark Count} & 0 &1&1&0&2&1&1&0&1&1&0&0.8&2
\\\hline\textbf{2 Marks Count} & 0 &2&2&1&1&1&0&3&1&0&0&1.1&3
\\\hline\textbf{Total Marks} & 0 &5&5&2&4&3&1&6&3&1&\bf{0}&\bf{3}&\bf{6}\\\hline
\end{array}}}$$

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Most viewed questions in Probability

1 votes
2 answers
452
A arrives at office at 8-10am regularly; B arrives at 9-11 am every day
A arrives at office at 8-10am regularly; B arrives at 9-11 am every day. Probability that one day B arrives before A? [Assume arrival time of both A and B are uniformly distributed]
A arrives at office at 8-10am regularly; B arrives at 9-11 am every day. Probability that one day B arrives before A? [Assume arrival time of both A and B are uniformly d...
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1 votes
1 answer
453
Subject Topic- Probability
what is positively skewed ,symmetric and negatively skewed distribution?
what is positively skewed ,symmetric and negatively skewed distribution?
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3 votes
0 answers
454
Hk Dass poisson distribution
If x has a modified Poisson distribution $P_k = P_r(x = k) =$\Large \frac{ ( e^m - 1 )^{-1} m^k}{k!}$, $(k = 1,2,3.....)$, then expected value of x is .......
If x has a modified Poisson distribution$P_k = P_r(x = k) =$$\Large \frac{ ( e^m - 1 )^{-1} m^k}{k!}$, $(k = 1,2,3.....)$, then expected value of x is .......
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2 votes
0 answers
455
NIELIT 2018-26
If $P(A \cap B) = \frac{1}{2}, \: P(\overline{A} \cap \overline{B}) = \frac{1}{2}$ and $2P(A)=P(B)=p$, then the value of $p$ is given by: $\frac{1}{4}$ $\frac{1}{2}$ $\frac{1}{3}$ $\frac{2}{3}$
If $P(A \cap B) = \frac{1}{2}, \: P(\overline{A} \cap \overline{B}) = \frac{1}{2}$ and $2P(A)=P(B)=p$, then the value of $p$ is given by:$\frac{1}{4}$$\frac{1}{2}$$\frac{...
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1 votes
2 answers
458
ISRO 2012: [Mech] Probability
Let E and F be any two events with P(E U F)= 0.8, P(E) = 0.4 and P (E/ F) = 0.3. Then P (F) is (a) 3/7 (b) 4/7 (c) 3/5 (d) 2/5
Let E and F be any two events with P(E U F)= 0.8, P(E) = 0.4 and P (E/ F) = 0.3. Then P (F) is(a) 3/7(b) 4/7(c) 3/5(d) 2/5
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0 votes
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460
probability
A man takes a step forward with probability 0.4 and backwards with probability 0.6 .find the probability that at the end of eleven steps he is just one step away from the starting point
A man takes a step forward with probability 0.4 and backwards with probability 0.6 .find the probability that at the end of eleven steps he is just one step away from the...
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2 votes
2 answers
462
probability dice
1.Probability of getting total of atleast once in three tosses of pair of fair dice is a)125/136  b)91/216  c)117/216 d)99/216 2.How many dice must be thrown so that there is better than even chances of getting 6 a)4 b)5 c)6 d)7
1.Probability of getting total of atleast once in three tosses of pair of fair dice isa)125/136  b)91/216  c)117/216d)99/2162.How many dice must be thrown so that there...
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2 answers
463
Probability
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0 votes
1 answer
469
Probability question of CLRS
In a restaurant each of $n$ customer gives a hat to the hat check person. The hat check person gives the hat back to the customer in a random order. What is expected number of customer who get back their own hat?
In a restaurant each of $n$ customer gives a hat to the hat check person. The hat check person gives the hat back to the customer in a random order. What is expected numb...
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