12th Standard Syllabus & Materials
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TN 12th Computer Applications வலையமைப்பு வடமிடல் Sample Question Papers Study Material - QB365 Set A

Published on: 02/09/2022
QB365 provides a detailed and simple solution for every Possible Book Back Questions in Class 12 Maths Subject -Probability Distributions, English Medium. It will help Students to get more practice questions, Students can Practice these question papers in addition to score best marks.
Download Tamil Nadu 12th Standard Maths question papers, model tests, one-mark questions, important questions, and public exam papers in PDF format. Free study materials and answer keys for TN State Board students.
Questions + Answers key
Take MCQ Maths Test1.
2.
3.
Let X have a Bernoulli distribution with mean 0.4, then the variance of (2X - 3) is
0.24
0.48
0.6
0.96
4.
The probability mass function of a random variable is defined as:
| x | -2 | -1 | 0 | 1 | 2 |
| f(x) | k | 2k | 3k | 4k | 5k |
Then E(X ) is equal to:
\(\frac { 1 }{ 15 } \)
\(\frac { 1 }{ 10 } \)
\(\frac { 1 }{ 3 } \)
\(\frac { 2 }{ 3 } \)
5.
If \(f(x)=\left\{\begin{array}{ll} 2 x & 0 \leq x \leq a \\ 0 & \text { otherwise } \end{array}\right.\) is a probability density function of a random variable, then the value of a is
1
2
3
4
6.
Which of the following is a discrete random variable?
I. The number of cars crossing a particular signal in a day
II. The number of customers in a queue to buy train tickets at a moment.
III. The time taken to complete a telephone call.
I and II
II only
III only
II and III
7.
8.
The random variable X has the probability density function
\(f(x)=\left\{\begin{array}{lr}
a x+b & 0<x<1 \\
0 & \text { otherwise }
\end{array}\right.\) and \(E(X)=\frac { 7 }{ 12 } \), then a and b are respectively
1 and \(\frac { 1 }{ 2 } \)
\(\frac { 1 }{ 2 } \) and 1
2 and 1
1 and 2
9.
If X is a binomial random variable with expected value 6 and variance 2.4, then P(X = 5) is
\(\left( \frac { 10 }{ 5 } \right) \left( \frac { 3 }{ 5 } \right) ^{ 6 }\left( \frac { 2 }{ 5 } \right) ^{ 4 }\)
\(\left( \frac { 10 }{ 5 } \right) \left( \frac { 3 }{ 5 } \right) ^{ 10 }\)
\(\left( \frac { 10 }{ 5 } \right) { \left( \frac { 3 }{ 5 } \right) }^{ 4 }\left( \frac { 2 }{ 5 } \right) ^{ 6 }\)
\(\left( \frac { 10 }{ 5 } \right) \left( \frac { 3 }{ 5 } \right) ^{ 5 }\left( \frac { 2 }{ 5 } \right) ^{ 5 }\)
10.
11.
12.
Two coins are to be flipped. The first coin will land on heads with probability 0.6, the second with probability 0.5. Assume that the results of the flips are independent, and let X equal the total number of heads that result The value of E(X) is
0.11
1.1
11
1
13.
Four buses carrying 160 students from the same school arrive at a football stadium. The buses carry, respectively, 42, 36, 34, and 48 students. One of the students is randomly selected. Let X denote the number of students that were on the bus carrying the randomly selected student. One of the 4 bus drivers is also randomly selected. Let Y denote the number of students on that bus. Then E(X) and E(Y) respectively are
50,40
40,50
40.75,40
41,41
14.
If the function \(f(x)=\frac { 1 }{ 12 } \) for a < x < b, represents a probability density function of a continuous random variable X, then which of the following cannot be the value of a and b?
0 and 12
5 and 17
7 and 19
16 and 24
15.
Let X represent the difference between the number of heads and the number of tails obtained when a coin is tossed n times. Then the possible values of X are
i + 2n, i = 0,1,2... n
2i- n, i = 0,1,2... n
n - i, i = 0,1,2... n
2i + 2n, i = 0, 1, 2...n
16.
A random variable X has binomial distribution with n = 25 and p = 0.8 then standard deviation of X is
6
4
3
2
17.
A pair of dice numbered 1, 2, 3, 4, 5, 6 of a six-sided die and 1, 2, 3, 4 of a four-sided die is rolled and the sum is determined. Let the random variable X denote this sum. Then the number of elements in the inverse image of 7 is
1
2
3
4
18.
19.
A rod of length 2l is broken into two pieces at random. The probability density function of the shorter of the two pieces is
\(f(x)=\left\{\begin{array}{ll} \frac{1}{l} & 0< x < l \\ 0 & l <x<2l \end{array}\right.\)
The mean and variance of the shorter of the two pieces are respectively.
\(\frac { l }{ 2 } ,\frac { { l }^{ 2 } }{ 3 } \)
\( \frac { l }{ 2 } ,\frac { { l }^{ 2 } }{ 6 } \)
\(l,\frac { { l }^{ 2 } }{ 12 } \)
\(\frac { l }{ 2 } ,\frac { { l }^{ 2 } }{ 12 } \)
20.
Let X be random variable with probability density function
\(f(x)=\left\{\begin{array}{ll} \frac{2}{x^{3}} & x \geq 1 \\ 0 & x<1 \end{array}\right.\)
Which of the following statement is correct
both mean and variance exist
mean exists but variance does not exist
both mean and variance do not exist
variance exists but Mean does not exist
1.
(b)
2.
(b)
3.
(d)
0.96
4.
(d)
\(\frac { 2 }{ 3 } \)
5.
(a)
1
6.
(a)
I and II
7.
(b)
8.
(a)
1 and \(\frac { 1 }{ 2 } \)
9.
(d)
\(\left( \frac { 10 }{ 5 } \right) \left( \frac { 3 }{ 5 } \right) ^{ 5 }\left( \frac { 2 }{ 5 } \right) ^{ 5 }\)
10.
(a)
11.
(d)
12.
(b)
1.1
13.
(c)
40.75,40
14.
(d)
16 and 24
15.
(b)
2i- n, i = 0,1,2... n
16.
(d)
2
17.
(d)
4
18.
(d)
19.
(d)
\(\frac { l }{ 2 } ,\frac { { l }^{ 2 } }{ 12 } \)
20.
(b)
mean exists but variance does not exist
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Tamilnadu Stateboard 12th Standard Subjects

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Biology

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Computer Applications

Computer Science

Business Maths and Statistics

Commerce

Economics

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Chemistry

Physics

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History

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