GATE EC Probability and Statistics questions
Practise Probability and Statistics questions for GATE EC. Explore official PYQs and original topic-wise quizzes, check answers and view available solutions. Free, no sign-in.
Define the sample space and events first. Distinguish independent events from conditional probabilities, and check that the final probability lies between zero and one.
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Consider the random process Where is a zero-mean Gaussian random variable and V is a random variable uniformly distributed between and . Assume that and are statistically independent. The mean value of the random process at is ________
Passengers try repeatedly to get a seat reservation in any train running between two stations until they are successful. If there is chance of getting reservation in any attempt by a passenger, then the average number of attempts that passengers need to make to get a seat reserved is __________
The second moment of a Poisson-distributed random variable is . The mean of the random variable is _____
Consider a discrete memoryless source with alphabet and respective probabilities of occurence . The entropy of the source (in bits) is _________
An analog pulse is transmitted over an additive white Gaussian noise (AWGN) channel. The received signal is , where is additive white Gaussian noise with power spectral density . The received signal is passed through a filter with impulse response . Let and denote the energies …
A discrete memoryless source has an alphabet with corresponding probabilities The minimum required average codeword length in bits to represent this source for error-free reconstruction is _________
Two random variables and are distributed according to The probability is ________
The probability of getting a “head” in a single toss of a biased coin is . The coin is tossed repeatedly till a head is obtained. If the tosses are independent, then the probability of getting “head” for the first time in the fifth toss is _______
A voice-grade AWGN (additive white Gaussian noise) telephone channel has a bandwidth of and two-sided noise power spectral density . If information at the rate of is to be transmitted over this channel with arbitrarily small bit error rate, then the minimum bit-energy …
The bit error probability of a memoryless binary symmetric channel is . If bits are sent over this channel, then the probability that not more than one bit will be in error is _______
Suppose and are two independent events with probabilities and . Let and be their complements. Which one of the following statements is FALSE?
The input to the Binary Symmetric Channel (BSC) shown in the figure is with probability . The cross-over probability is . If the received bit , the conditional probability that was transmitted is ____________
A source emits bit with probability and bit with probability . The emitted bits are communicated to the receiver. The receiver decides for either or based on the received value . It is given that the conditional density functions of are as …
Let the random variable represent the number of times a fair coin needs to be tossed till two consecutive heads appear for the first time. The expectation of is _______.
A zero mean white Gaussian noise having power spectral density is passed through an LTI filter whose impulse response is shown in the figure. The variance of the filtered noise at is
is an independent and identically distributed (i.i.d.) random process with ܺ equally likely to be or is another random process obtained as ܻ The autocorrelation function of …
Let and be two independent binary random variables. If and then is equal to
A fair die with faces is thrown repeatedly till is observed for the first time. Let denote the number of times the die is thrown. The expected value of is _______.
The variance of the random variable with probability density function is __________.
A random binary wave is given by where is the unit step function and is an independent random variable with uniform distribution in The sequence consist of independent and identically distributed binary valued random variables with …
