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Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE) PDF Download

Q16: Consider a dice with the property that the probability of a face with n dots showing up proportional to n. The probability of the face with three dots showing up is____.      (SET-2 (2014))
(a) 0.1
(b) 0.33
(c) 0.14
(d) 0.66
Ans:
(c)
Sol: Let probability of occurence of one dot is P.
So, writing total probability
P + 2P + 3P + 4P + 5P + 6P = 1
P = 1/21
Hence, problem of occurrence of 3 dot is = 3P = 3/21 = 1/7 = 0.142

Q17: A fair coin is tossed n times. The probability that the difference between the number of heads and tails is (n-3) is      (SET-1 (2014))
(a) 2-n
(b) 0
(c) Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)

(d) 2-n+3
Ans: 
(b)
Sol: Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)when, n = probability of occurrence of head
y = probability of occurrence of tail
Let number of head is P.
Number of tail is q
P + q = n
Total number of tails
Given: |P - q| = n - 3
|P-(n-P)| = n - 3
n = n - 3 which is not posssible.
Here required probability is zero.

Q18: A continuous random variable X has a probability density function f(x) = e−x, 0 < x < ∞. Then P{X > 1} is       (2013)
(a) 0.368
(b) 0.5
(c) 0.632
(d) 1
Ans: 
(a)
Sol: Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)

Q19: A fair coin is tossed till a head appears for the first time. The probability that the number of required tosses is odd, is       (2012)
(a) 1/3
(b) 1/2
(c) 2/3
(d) 3/4
Ans:
(c)
Sol: P(number of tosses is odd) = P(number of tosses is 1, 3, 5, 7?)
P(no. of toss is 1) = P(Head in first toss) = 1/2
P(no. of toss is 3) = P( tail in first toss , tail in second toss and head in third toss) Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
P(no. of toss id 5) = P(T,  T,  T,  T,  H) = (1/2)5 = 1/32
So P(no. of tosses is odd) Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Sum of infinite geometric series with a = 1/2 and r = 1/4
Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q20: Two independent random variables X and Y are uniformly distributed in the interval [-1, 1]. The probability that max [X, Y] is less than 1/2 is      (2012)
(a) 3/4
(b) 9/16
(c) 1/4
(d) 2/3
Ans:
(b)
Sol: −1 ≤ x ≤ 1 and −1 ≤ y ≤ 1 is the entire rectangle.The region in which maximum of {x, y} is less than 1/2 is shown below as shaded regioninside this rectangle. 
Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q21: A box contains 4 white balls and 3 red balls. In succession, two balls are randomly and removed form the box. Given that the first removed ball is white, the probability that the second removed ball is red is      (2010)
(a) 1/3
(b) 3/7
(c) 1/2
(d) 4/7
Ans:
(c)
Sol: Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q22: 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 ?      (2009)
(a) 20
(b) 7
(c) 15
(d) 16
Ans:
(b)

Q23: X is a uniformly distributed random variable that takes values between 0 and 1. The value of E{X3} will be      (2008)
(a) 0
(b) 1/8
(c) 1/4
(d) 1/2
Ans:
(c)
Sol: x is uniformly distributes in [0, 1]
Therefore, probability density function
Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Now,
Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q24: A loaded dice has following probability distribution of occurrences
Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)If three identical dice as the above are thrown, the probability of occurrence of values 1, 5 and 6 on the three dice is      (2007)
(a) same as that of occurrence of 3, 4, 5
(b) same as that of occurrence of 1, 2, 5
(c) 1/128
(d) 5/8
Ans:
(c)
Sol: Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q25: Two fair dice are rolled and the sum r of the numbers turned up is considered     (2006)
(a) 𝑃𝑟(𝑟>6)=16Pr(r > 6) = 1/6
(b) Pr (r/3 is an integer) = 5/6
(c) Pr (r = 8 | r/4 is an integer) = 5/9
(d) Pr (r = 6 |r/5 is an integer) = 1/18
Ans: 
(c)
Sol: If two fair dices are rolles the probability distribution of r where r is the sum of the numbers on each die is given by
Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)The above table has been obtained by taking all different ways of obtaining a particular sum. For example, a sum of 5 can be obtained by (1, 4), (2, 3), (3, 2), and (4, 1).
∴ P(x = 5) = 4/36
Now let us consider choise (A)
Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Consider choise (C)
Pr(r = 8∣r/4 is an integer)= 1/36
Now,
Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Choice (C) is correct.

Q26: 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     (2005)
(a) 1/8
(b) 1/2
(c) 3/8
(d) 3/4
Ans:
(b)
Sol: Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q27: If P and Q are two random events, then the following is TRUE       (2005)
(a) Independence of P and Q implies that probability (P ∩ Q) = 0
(b) Probability (P ∪ Q) ≥ Probability (P) + Probability (Q)
(c) If P and Q are mutually exclusive, then they must be independent
(d) Probability (P ∩ Q) ≤ Probability (P)
Ans:
(d)
Sol: (A) is false since of P and Q are independent
Pr(P ∩ Q) = Pr(P) × Pr(Q)
which need not be zero.
(B) is false since
Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)(C) is false since independence and mutually exclusion are unrelated properties.
(D) is true
Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)

The document Previous Year Questions- Probability and Statistics - 2 | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE) is a part of the Electrical Engineering (EE) Course Engineering Mathematics for Electrical Engineering.
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FAQs on Previous Year Questions- Probability and Statistics - 2 - Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)

1. What is the difference between probability and statistics?
Ans. Probability deals with predicting the likelihood of future events, while statistics involves the collection, analysis, interpretation, presentation, and organization of data.
2. How is probability used in electrical engineering?
Ans. Probability is used in electrical engineering to analyze the reliability of systems, predict the behavior of random variables in circuits, and design communication systems with minimal error rates.
3. What are the common probability distributions used in electrical engineering?
Ans. Common probability distributions used in electrical engineering include the Gaussian (normal) distribution, Poisson distribution, exponential distribution, and binomial distribution.
4. How is statistical inference applied in electrical engineering?
Ans. Statistical inference is used in electrical engineering to make predictions and decisions based on data analysis, such as estimating parameters of a model or testing hypotheses about a system.
5. Can you give an example of how probability and statistics are used in signal processing?
Ans. In signal processing, probability and statistics are used to analyze noise in communication systems, optimize signal detection algorithms, and estimate parameters of signals in noisy environments.
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