Engineering Mathematics - Probability and Statistics
Exam Duration: 45 Mins Total Questions : 30
There are two containers, with one containing 4 red and 3 green balls and other containing 3 blue and 4 green balls. One ball is drawn at random from each container. The probability that one of the the balls is red and the other is blue will be
- (a)
17
- (b)
\(\frac { 9 }{ 49 } \)
- (c)
\(\frac { 12 }{ 49 } \)
- (d)
\(\frac { 3 }{ 7 } \)
Two coins are simultaneously tossed. The probability of two heads simultaneously appearing is
- (a)
\(\frac { 1 }{ 8 } \)
- (b)
\(\frac { 1 }{ 6 } \)
- (c)
\(\frac { 1 }{ 4 } \)
- (d)
\(\frac { 1 }{ 2 } \)
The standard deviation of spot speed of vehicles in, a highway is 8.8km/h and the mean speed of the vehicles is 33km/h the coefficient of variation in speed is
- (a)
0.1517
- (b)
0.1867
- (c)
0.2666
- (d)
0.3646
A hydraulic structure has four gates which operate independently. The probability of failure of each gate is 0.2. Given that gate 1 has failed, the probability that both gates 2 and 3 will fail is
- (a)
0.240
- (b)
0.200
- (c)
0.040
- (d)
0.008
If P and Q are two random events, then which of the following is true?
- (a)
Independence of P and Q implies that probability (P\(\cap \)Q)=0
- (b)
Probability (P\(\cup \)Q)\(\ge \)Probability (P)+Probability (Q)
- (c)
If P and Q are mutually exclusive, then they must be independent
- (d)
Probability (P\(\cap \)Q)\(\le \)Probability (P)
A box contains 4 white balls and 3 red balls. In succession, two balls 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
- (a)
\(\frac { 1 }{ 3 } \)
- (b)
\(\frac { 3 }{ 7 } \)
- (c)
\(\frac { 1 }{ 2 } \)
- (d)
\(\frac { 4 }{ 7 } \)
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
- (a)
\(\frac { 1 }{ 8 } \)
- (b)
\(\frac { 1 }{ 2 } \)
- (c)
\(\frac { 3 }{ 8 } \)
- (d)
\(\frac { 3 }{ 4 } \)
If the difference between the exceptation of the square of random variable and the square of the expectation of the random variable is denoted by R,
- (a)
R=0
- (b)
R<0
- (c)
R\(\ge \)0
- (d)
R>0
Let, f(x) be the continuous probability density function of a random variable X. The probability that a<X\(\le \)b is
- (a)
f(b-a)
- (b)
f(b)-f(a)
- (c)
\(\int _{ a }^{ b }{ f(x)dx } \)
- (d)
\(\int _{ a }^{ b }{ xf(x)dx } \)
If a fair coin is tossed four times. What is the probability that two heads and two tails will results?
- (a)
\(\frac { 3 }{ 8 } \)
- (b)
\(\frac { 1 }{ 2 } \)
- (c)
\(\frac { 5 }{ 8 } \)
- (d)
\(\frac { 3 }{ 4 } \)
Let P(E) denotes the probability of the event E. Given, P(A)=1, P(B)=\(\frac { 1 }{ 2 } \), the values of \(P(\frac { A }{ B } )\) and \(P(\frac { B }{ A } )\) respectively are
- (a)
\(\frac { 1 }{ 4 } ,\frac { 1 }{ 2 } \)
- (b)
\(\frac { 1 }{ 2 } ,\frac { 1 }{ 4 } \)
- (c)
\(\frac { 1 }{ 2 } ,1\)
- (d)
\(1,\frac { 1 }{ 2 } \)
An unbalanced dice (with 6 faces, number from 1 to 6) is thrown. The probability that the face value is odd is 90% of the probability that the face value is even. The probability of getting any even numbered face is the same. If the probability that the face is even given that it is greater than 3 is 0.75, which one of the following option is closest to the probability that the face value exceeds 3?
- (a)
0.4533
- (b)
0.468
- (c)
0.485
- (d)
0.492
Two n bit binary string S1 and S2 are chosen randomly with uniform probability. The probability that the Hamming distance between these strings (the number of bit positions where are two strings differ) is equal to d is
- (a)
\(\frac { ^{ n }{ C }_{ d } }{ { 2 }^{ n } } \)
- (b)
\(\frac { ^{ n }{ C }_{ d } }{ { 2 }^{ d } } \)
- (c)
\(\frac { d }{ { 2 }^{ n } } \)
- (d)
\(\frac { 1 }{ { 2 }^{ d } } \)
A program consists of two modulus executed sequentially. Let f1(t) and f2(t) respectively denote the probability density functions of time taken to execute the two modulus. The probability density function of the overall line taken to execute the program is given by
- (a)
f1(t)+f2(t)
- (b)
\(\int _{ 0 }^{ t }{ { { f }_{ 1 }(x).{ f }_{ 2 }(x)dx } } \)
- (c)
\(\int _{ 0 }^{ t }{ { { f }_{ 1 }(x).{ f }_{ 2 }(t-x)dx } } \)
- (d)
max {f1(t),f2(t)}
A fair coin is tossed 10 times. What is the probability that only the first two tosses will yield heads?
- (a)
\({ (\frac { 1 }{ 2 } ) }^{ 2 }\)
- (b)
\(^{ 10 }{ C }_{ 2 }{ (\frac { 1 }{ 2 } ) }^{ 2 }\)
- (c)
\({ (\frac { 1 }{ 2 } ) }^{ 10 }\)
- (d)
\(^{ 10 }{ C }_{ 2 }{ (\frac { 1 }{ 2 } ) }^{ 10 }\)
A probability density function is of the form P(x)=\(k{ e }^{ -\alpha \left| x \right| },x\in (-\infty ,\infty )\). The value of k is
- (a)
0.5
- (b)
1
- (c)
0.5\(\alpha \)
- (d)
\(\alpha \)
A fair dice is rolled twice. The probability that an odd number will follow an even number is
- (a)
\(\frac { 1 }{ 2 } \)
- (b)
\(\frac { 1 }{ 6 } \)
- (c)
\(\frac { 1 }{ 3 } \)
- (d)
\(\frac { 1 }{ 4 } \)
A fair coin is tossed independently four times. The probability of the event 'the number of time heads shown up is more than the number of times tails shown up' is
- (a)
\(\frac { 1 }{ 16 } \)
- (b)
\(\frac { 1 }{ 8 } \)
- (c)
\(\frac { 1 }{ 4 } \)
- (d)
\(\frac { 5 }{ 16 } \)
A fair dice is tossed two times. the probability that the second toss results in a value that is higher than the first toss is
- (a)
\(\frac { 2 }{ 36 } \)
- (b)
\(\frac { 2 }{ 6 } \)
- (c)
\(\frac { 5 }{ 12 } \)
- (d)
\(\frac { 1 }{ 2 } \)
The mean of a set of number is \(\overline { x } \). If each number is increased by \(\lambda \), then variance of the new set is
- (a)
\(\overline { x } \)
- (b)
\(\overline { x } +\lambda \)
- (c)
\(\lambda \overline { x } \)
- (d)
None of these
If \(\mu \) is mean of distribution, then \(\Sigma { f }_{ i }(Y_{ i }-\mu )\) is equal to
- (a)
MD
- (b)
Standard deviation
- (c)
0
- (d)
None of these
If two lines of regression are at right angles, then \(\rho \) (X,Y) is equal to
- (a)
1
- (b)
-1
- (c)
1 or -1
- (d)
0
In a frequency distribution, mid value of a class is 15 and class interval is 4. The lower limit of the class is
- (a)
14
- (b)
13
- (c)
12
- (d)
10
A person on a trip has a choice between private car and public transport.The probability of using a private car is 0.45. While using public transport, further choice available are bus and metro, out of which the probability of commuting by a bus is 0.55. In such a situation, the probability ( rounded up to two decimals ) of using a car, bus and metro, respectively would be
- (a)
0.45, 0.30 and 0.25
- (b)
0.45, 0.25 and 0.30
- (c)
0.45, 0.55 and 0
- (d)
0.45, 0.35, 0.20
A class of first year B.tech students is composed of four batches A, B, C and D, each consisting of 30 students. It is found that the sessional marks of students in Engineering drawing in batch C have a mean of 6.6 and standard deviation of 2.3. The mean and standard deviation of the marks for the entire class are 5.5 and 4.2 respectively. It is decided by the course instructer to normalize the mark o9f the students of all batches to have the same mean and standard deviation as that of the entire class. Due to this, the mark of a student in batch C are changed from 8.5 to
- (a)
6.0
- (b)
7.0
- (c)
8.0
- (d)
9.0
A has one share in a lottery in which there is 1 prize and 2 blanks.B has three shares in a lottery in which there are 3 prizes and 6 blanks compare the probability of A's success of that of B's success is
- (a)
7:16
- (b)
16:7
- (c)
6:14
- (d)
14:6
What will be the mean and standard deviation for the following table given the age distribution of 542 members
Age in years | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 | 80-90 |
Number of members | 3 | 61 | 132 | 153 | 140 | 51 | 2 |
- (a)
54.72 and 11.9
- (b)
50 and 43.1
- (c)
43.5 and 31.8
- (d)
19 and 10
Let X be a random variable following normal distribution with mean +1 and variance 4. Let, Y be another normal variable with -1 and variance unknown. If P(X\(\le \)-1)=P(Y\(\ge \)2), the standard deviation of Y is
- (a)
3
- (b)
2
- (c)
\(\sqrt { 2 } \)
- (d)
1
Examination paper has 150 multiple choice questions of one mark each question having four choices. Each incorrect answer fetches -0.25 mark. Suppose 1000 students choose all their answer randomly with uniform probability. the sum total of the expected marks obtained by all these students
- (a)
0
- (b)
2550
- (c)
7525
- (d)
9375
A point is randomly selected with uniform probability in the X-Y plane within the rectangular with corners at (0,0), (1,0), (1,2) and (0,2). If P is the length of the position vector of the point, the expected value of P2 is
- (a)
\(\frac { 2 }{ 3 } \)
- (b)
1
- (c)
\(\frac { 4 }{ 3 } \)
- (d)
\(\frac { 4 }{ 3 } \)