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Engineering Mathematics
Probability and Statistics

Practice questions from Probability and Statistics.

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Q#1 Probability and Statistics GATE EE 2025 (Set 1) MCQ +1 mark -0.33 marks

Consider discrete random variables  and  with probabilities as follows:

 

Given , the expected value of  is

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Q#2 Probability and Statistics GATE EE 2025 (Set 1) MCQ +2 marks -0.66 marks

Let  and  be continuous random variables with probability density functions  and , respectively. Further, let  and

 

Which one of the following options is correct?

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Q#3 Probability and Statistics GATE EE 2024 (Set 1) MSQ +1 mark -0 marks

Let  be a discrete random variable that is uniformly distributed over the set . Which of the following random variables is/are uniformly distributed?

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Q#4 Probability and Statistics GATE EE 2023 (Set 1) MCQ +1 mark -0.33 marks

One million random numbers are generated from a statistically stationary process with a Gaussian distribution with mean zero and standard deviation .

The  is estimated by randomly drawing out 10,000 numbers of samples . The estimates  are computed in the following two ways.

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Q#5 Probability and Statistics GATE EE 2023 (Set 1) NAT +1 mark -0 marks

Three points in the -y plane are  and . The value of the slope of the best fit straight line in the least square sense is __________ (Round off to 2 decimal places).

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Q#6 Probability and Statistics GATE EE 2023 (Set 1) NAT +2 marks -0 marks

The expected number of trials for first occurrence of a "head" in a biased coin is known to be 4. The probability of first occurrence of a "head" in the second trial is __________ (Round off to 3 decimal places).

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Q#7 Probability and Statistics GATE EE 2022 (Set 1) NAT +2 marks -0 marks

Let the probability density function of a random variable  be given as

 

The value of  is  __________.

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Q#8 Probability and Statistics GATE EE 2021 (Set 1) MCQ +2 marks -0.66 marks

Suppose the probability that a coin toss shows "head" is , where . The coin is tossed repeatedly until the first "head" appears. The expected number of tosses required is

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Q#9 Probability and Statistics GATE EE 2019 (Set 1) MCQ +1 mark -0.33 marks

The mean-square of a zero-mean random process is  where k is Boltzmann’s constant, T is the absolute temperature, and C is a capacitance. The standard deviation of the random process is        

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Q#10 Probability and Statistics GATE EE 2019 (Set 1) NAT +2 marks -0 marks

The probability of a resistor being defective is 0.02. there are 50 such resistors in a circuit. The probability of two or more defective resistors in the circuit (round off to two decimal places) is ________.

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Q#11 Probability and Statistics GATE EE 2017 (Set 2) MCQ +1 mark -0.33 marks

An urn contains 5 red balls and 5 black balls. In the first draw, one ball is picked at random and discarded without noticing its color. The probability to get a red ball in the second draw is

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Q#12 Probability and Statistics GATE EE 2017 (Set 2) NAT +1 mark -0 marks

Assume that in a traffic junction, the cycle of the traffic signal lights is 2 minutes of green (vehicle does not stop) and 3 minutes of red (vehicle stops). Consider that the arrival time of vehicles at the junction is uniformly distributed over 5 minute cycle. The expected waiting time (in minutes) for the vehicle at the junction is __________.

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Q#13 Probability and Statistics GATE EE 2017 (Set 2) MCQ +2 marks -0.66 marks

A person decides to toss a fair coin repeatedly until he gets a head. He will make at most 3 tosses. Let the random variable Y denote the number of heads. The value of var {Y}, where var denotes the variance, equals

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Q#14 Probability and Statistics GATE EE 2016 (Set 1) NAT +2 marks -0 marks

Candidates were asked to come to an interview with 3 pens each. Black, blue, green and red were the permitted pen colors that the candidates could bring. The probability that a candidates comes with all 3 pens having the same colour is _______.

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Q#15 Probability and Statistics GATE EE 2016 (Set 2) MCQ +2 marks -0.66 marks

Let the probability density function of a random variable, X, be given as:

where u(x) is the unit step function.

Then the value of ‘a’ and , respectively, are

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Q#16 Probability and Statistics GATE EE 2015 (Set 1) NAT +1 mark -0 marks

A random variable X has probability density function f(x) as given below:

If the expected value , then Pr[X < 0.5] is___________.

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Q#17 Probability and Statistics GATE EE 2015 (Set 1) MCQ +2 marks -0.66 marks

Two players, A and B, alternately keep rolling a fair dice. The person to get a six first wins the game. Given that player A starts the game, the probability that A wins the game is

5/11

1/2

7/13

6/11

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Q#18 Probability and Statistics GATE EE 2015 (Set 2) MCQ +2 marks -0.66 marks

Two coins R and S are tossed. The 4 joint events  have probabilities 0.28, 0.18, 0.30, 0.24, respectively, where H represents head and T represents tail. Which one of the following is TRUE?

The coin tosses are independent.

R is fair, S is not.

S is fair, R is not.

The coin tosses are dependent.

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Q#19 Probability and Statistics GATE EE 2014 (Set 1) MCQ +2 marks -0.66 marks

A fair coin is tossed n times. The probability that the difference between the number of heads and tails is (n – 3) is

0

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Q#20 Probability and Statistics GATE EE 2014 (Set 2) NAT +1 mark -0 marks

Consider a dice with the property that the probability of a face with n dots showing up is proportional to n. The probability of the face with three dots showing up is _______.

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Q#21 Probability and Statistics GATE EE 2014 (Set 2) NAT +2 marks -0 marks

Let x be a random variable with probability density function

The probability  is ____________.

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Q#22 Probability and Statistics GATE EE 2014 (Set 3) NAT +1 mark -0 marks

Lifetime of an electric bulb is a random variable with density, where x is measured in years. If the minimum and maximum lifetimes of bulb are 1 and 2 years respectively, then the value of k is ___________.

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Q#23 Probability and Statistics GATE EE 2013 (Set 1) MCQ +1 mark -0.33 marks

A continuous random variable  has a probability density function. Then P is

0.368

0.5

0.632

1.0

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Q#24 Probability and Statistics GATE EE 2012 (Set 1) MCQ +1 mark -0.33 marks

Two independent random variables X and Y are uniformly distributed in the interval [-1, 1]. The probability that max [X, Y] is less than ½ is

3/4

9/16

1/4

2/3

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Q#25 Probability and Statistics GATE EE 2012 (Set 1) MCQ +2 marks -0.66 marks

A fair coin is tossed till a head appears for the first time. The probability that the number of required tosses is odd, is

1/3

1/2

2/3

3/4

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Q#26 Probability and Statistics GATE EE 2010 (Set 1) MCQ +2 marks -0.66 marks

A box contains 4 white balls and 3 red balls, In succession, two balls are randomly selected and removed from the box. Given that the first removed ball is white, the probability that the second removed ball is red is

1/3

3/7

1/2

4/7

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Q#27 Probability and Statistics GATE EE 2009 (Set 1) MCQ +2 marks -0.66 marks

Assume for simplicity that N people, all born in April (a month of 30 days), are collected in a room.  Consider the event of at least two people in the room being born on the same date of the month, even if in different years. e.g. 1980 and 1985. What is the smallest N so that the probability of this event exceeds 0.5 ?        

20

7

15

16

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Q#28 Probability and Statistics GATE EE 2008 (Set 1) MCQ +1 mark -0.33 marks

X is a uniformly distributed random variable that takes values between 0 and 1. The value of  will be

0

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Q#29 Probability and Statistics GATE EE 2007 (Set 1) MCQ +2 marks -0.66 marks

A loaded dice has following probability distribution of occurrences

Dice value

1

2

3

4

5

6

Probability

If three identical dice as the above are thrown, the probability of occurrence of values

1, 5 and 6 on the three dice is

Same as that of occurrence of 3, 4, 5

Same as that of occurrence of 1, 2, 5

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Q#30 Probability and Statistics GATE EE 2006 (Set 1) MCQ +2 marks -0.66 marks

Two fair dice are rolled and the sum r of the numbers turned is considered.

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Q#31 Probability and Statistics GATE EE 2005 (Set 1) MCQ +1 mark -0.33 marks

If P and Q are two random events, then the following is TRUE:

Independence of P and Q implies that probability (P  Q) = 0

Probability (P  Q)  Probability (P) + Probability (Q)

If P and Q are mutually exclusive, then they must be independent

Probability (P  Q)  ≤ Probability (P)

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Q#32 Probability and Statistics GATE EE 2005 (Set 1) MCQ +2 marks -0.66 marks

A fair coin is tossed three times in succession. If the first toss produces a head, then the probability of getting exactly two heads in three tosses is:

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