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Probability And Statistics — Part 1 MCQs with Explanations

Practice high-yield Mathematics & Quantitative Ability MCQs on Probability And Statistics — Part 1 with worked academic solutions for CSS, NTS, PPSC, FPSC, PMS.

Questions
40
Difficulty Level
Exam-Level
Target Exams
CSS, NTS, PPSC...
Estimated Time
48 mins
Exam-Level CSS NTS PPSC FPSC PMS
Verified for Commission Syllabus • Oct 14, 2026
40

Verified Practice Questions

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Question 1 of 40
★ CSS ★ NTS

Aishwarya studies either computer science or mathematics everyday. If she studies computer science on a day, then the probability that she studies mathematics the next day is 0.6. If she studies mathematics on a day, then the, probability that she studies computer science the next day is 0.4. Given that Aishwarya studies computer science on Monday, what is the probability that she studies computer science on Wednesday?

Question 2 of 40
★ CSS ★ NTS

A coin is tossed 4 times. What is the probability of getting heads exactly 3 times?

Question 3 of 40
★ CSS ★ NTS

A machine produces 0, 1 or 2 defective pieces in a day with associated probability of $$\frac{1}{6},\,\frac{2}{3}$$ and $$\frac{1}{6}$$ respectively. The mean value and the variance of the number of defective pieces produced by the machine in a day, respectively, are

Question 4 of 40
★ CSS ★ NTS

Let X and Y be two independent random variables. Which one of the relations between expectation (E), variance (Var) and covariance (Cov) given below is FALSE?

Question 5 of 40
★ CSS ★ NTS

The box 1 contains chips numbered 3, 6, 9, 12 and 15. The box 2 contains chips numbered 6, 11, 16, 21 and 26. Two chips, one from each box, are drawn at random. The numbers written on these chips are multiplied. The probability for the product to be an even number is

Question 6 of 40
★ CSS ★ NTS

For random variable x($$ - \infty $$ < x < $$\infty $$) following normal distribution, the mean is μ = 100. If probability is P = α for x ≥ 110. Then probability of x lying between 90 and 110 i.e., P(90 ≤ x ≤ 110) is equal to

Question 7 of 40
★ CSS ★ NTS

A box contains 5 black and 5 red balls. Two balls are randomly picked one after another from the box, without replacement. The probability for both balls being red is

Question 8 of 40
★ CSS ★ NTS

In the following table, x is a discrete random variable and p(x) is the probability density. The standard deviation of x is x 1 2 3 p(x) 0.3 0.6 0.1

Question 9 of 40
★ CSS ★ NTS

Three companies X, Y and Z supply computers to a university. The percentage of computers supplied by them and the probability of those being defective are tabulated below: Company % of computer Probability of being supplied defective X 60% 0.01 Y 30% 0.02 Z 10% 0.03 Given that a computer is defective, the probability that it was supplied by Y is

Question 10 of 40
★ CSS ★ NTS

Let X 1 and X 2 be two independent exponentially distributed random variables with means 0.5 and 0.25 respectively. Then Y = min (X 1 , X 2 ) is

Question 11 of 40
★ CSS ★ NTS

A box contains 2 washers, 3 nuts and 4 bolts. Items are drawn from the box at random one at a time without replacement. The probability of drawing 2 washers first followed by 3 nuts and subsequently the 4 bolts is

Question 12 of 40
★ CSS ★ NTS

An examination paper has 150 multiple-choice questions of one mark each, with each question having four choices. Each incorrect answer fetches -0.25 mark. Suppose 1000 students choose all their answers randomly with uniform probability, The sum total of the expected marks obtained by all these students is

Question 13 of 40
★ CSS ★ NTS

The graph of a function f(x) is shown in the figure. For f(x) to be valid probability density function, the value of h is

Question 14 of 40
★ CSS ★ NTS

A sample of 15 data is as follows: 17, 18, 17, 17, 13, 18, 5, 5, 6, 7, 8, 9, 20, 17, 3. The mode of the data is

Question 15 of 40
★ CSS ★ NTS

What is the probability that at most 5 defective fuses will be found in a box of 200 fuses, if 2% of such fuses are defective?

Question 16 of 40
★ CSS ★ NTS

Two cards are drawn at random in succession with replacement from a deck of 52 well shuffled card. Probability of getting both aces is

Question 17 of 40
★ CSS ★ NTS

The annual precipitation data of a city is normally distributed with mean and standard deviation as 1000 mm and 200 mm, respectively. The probability that the annual precipitation will be more than 1200 mm is

Question 18 of 40
★ CSS ★ NTS

The function p(x) is given by $${\text{p}}\left( {\text{x}} \right) = \frac{{\text{A}}}{{{{\text{x}}^\mu }}}$$ where A and μ are constants with μ > 1 and 1 ≤ x < $$\infty $$ and p(x) = 0 for $$ - \infty $$ < x < 1. For p(x) to be a probability density function, the value of A should be equal to

Question 19 of 40
★ CSS ★ NTS

A fair coin is tossed 10 times. What is the probability that ONLY the first two tosses will yield heads?

Question 20 of 40
★ CSS ★ NTS

The number of accidents occurring in a plant in a month follows Poisson distribution with mean as 5.2. The probability of occurrence of less than 2 accidents in the plant during a randomly selected month is

Question 21 of 40
★ CSS ★ NTS

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

Question 22 of 40
★ CSS ★ NTS

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

Question 23 of 40
★ CSS ★ NTS

Consider the finite sequence of random values X = [x 1 , x 2 , ... , x n ]. Let μ x be the mean and σ x be the standard deviation of X. Let another finite sequence Y of equal length be derived from this as y i = a ∗ x i + b, where a and b are positive constant. Let μ y be the mean and σ y be the standard deviation of this sequence. Which one of the following statements INCORRECT?

Question 24 of 40
★ CSS ★ NTS

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

Question 25 of 40
★ CSS ★ NTS

Two coins R and S are tossed. The 4 joint events H R H S , T R T S , H R T S , T R H S 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?

Question 26 of 40
★ CSS ★ NTS

If {x} is a continuous, real valued random variable defined over the interval (-$$\infty $$, +$$\infty $$) and its occurrence is defined by the density function given as: $${\text{f}}\left( {\text{x}} \right) = \frac{1}{{\sqrt {2\pi } * {\text{b}}}}{{\text{e}}^{\frac{{ - 1}}{2}{{\left( {\frac{{{\text{x}} - {\text{a}}}}{{\text{b}}}} \right)}^2}}}$$ where 'a' and 'b' are the statistical attributes of the random variable {x}. The value of the integral $$\int_{ - \infty }^{\text{a}} {\frac{1}{{\sqrt {2\pi } * {\text{b}}}}{{\text{e}}^{\frac{{ - 1}}{2}{{\left( {\frac{{{\text{x}} - {\text{a}}}}{{\text{b}}}} \right)}^2}}}{\text{dx}}} $$

Question 27 of 40
★ CSS ★ NTS

Type II error in hypothesis testing is

Question 28 of 40
★ CSS ★ NTS

A random variable X has a probability density function, \[{\text{f}}\left( {\text{x}} \right) = \left\{ {\begin{array}{*{20}{c}} {{\text{k}}{{\text{x}}^{\text{n}}}{{\text{e}}^{ - {\text{x}}}};}&{{\text{x}} \geqslant {\text{0}}} \\ {0;}&{{\text{otherwise}}} \end{array}} \right.\] (n is an integer) with mean 3. The values of {k, n} are

Question 29 of 40
★ CSS ★ NTS

A six-faced fair dice is rolled five times. The probability (in%) of obtaining "ONE" at least four times is

Question 30 of 40
★ CSS ★ NTS

A probability density function is of the form $${\text{p}}\left( {\text{x}} \right) = {\text{K}}{{\text{e}}^{ - \alpha \left| x \right|}},\,{\text{x}} \in \left( { - \infty ,\,\infty } \right).$$ The value of K is

Question 31 of 40
★ CSS ★ NTS

A box contains 20 defective items and 80 non-defective items. If two items are selected at random without replacement, what will be the probability that both items are defective?

Question 32 of 40
★ CSS ★ NTS

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 Chave 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 instructor to normalize the marks of the students of all batches to have the same mean and standard deviation as that of the entire class. Due to this, the marks of a student in batch C are changed from 8.5 to

Question 33 of 40
★ CSS ★ NTS

Let X be a normal random variable with mean 1 and variance 4. The probability P{X < 0} is

Question 34 of 40
★ CSS ★ NTS

Three cards were drawn from a pack of 52 cards. The probability that they are a king, a queen, and a jack is

Question 35 of 40
★ CSS ★ NTS

A committee of 4 is to be formed from among 4 girls and 5 boys. What is the probability that the committee will have number of boys less than number of girls?

Question 36 of 40
★ CSS ★ NTS

It is estimated that average number of events during an year is three. What is the probability of occurrence of not more than two events over a two year duration? Assume that the number of events follow a Poisson's distribution.

Question 37 of 40
★ CSS ★ NTS

Suppose we uniformly and randomly select a permutation from the 20! permutations of 1, 2, 3 ...., 20. What is the probability that 2 appears at an earlier position that any other even number in the selected permutation?

Question 38 of 40
★ CSS ★ NTS

The standard normal cumulative probability function (probability from $$ - \infty $$ to x n ) can be approximated as $${\text{F}}\left( {{{\text{x}}_{\text{n}}}} \right) = \frac{1}{{1 + {\text{exp}}\left( { - 1.7255{{\text{x}}_{\text{n}}}{{\left| {{{\text{x}}_{\text{n}}}} \right|}^{0.12}}} \right)}}$$ where x n = standard normal deviate. If mean and standard deviation of annual precipitation are 102 cm and 27 cm respectively, the probability that the annual precipitation will be between 90 cm and 102cm is

Question 39 of 40
★ CSS ★ NTS

A probability distribution with right skew is shown in the figure. The correct statement for the probability distribution is

Question 40 of 40
★ CSS ★ NTS

Let X be a random variable following normal distribution with mean +1 and variance 4. Let Y be another normal variable with mean -1 and variance unknown. If P(X ≤ -1) = P(Y ≥ 2) the standard deviation of Y is

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