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Probability And Statistics — Part 2 MCQs with Explanations

Practice high-yield Mathematics & Quantitative Ability MCQs on Probability And Statistics — Part 2 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

Interactive test mode with detailed academic worked solutions

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Question 1 of 40
★ CSS ★ NTS

A fair dice is rolled twice. The probability that an odd number will follow an even number is

Question 2 of 40
★ CSS ★ NTS

Two bags A and B have equal number of bails. Bag A has 20% red balls and 80% green bails. Bag B has 30% red bails. 60% green balls and 10% yellow balls. Contents of Bags A and B are mixed thoroughly and a ball is randomly picked from the mixture. What is the chance that the ball picked is red?

Question 3 of 40
★ CSS ★ NTS

If two fair coins are flipped and at least one of the outcomes is known to be a head, what is the probability that both outcomes are heads?

Question 4 of 40
★ CSS ★ NTS

If the standard deviation of the spot speed of vehicles in a highway is 8.8 kmph and the mean speed of the vehicles is 33 kmph, the coefficient of variation in speed is

Question 5 of 40
★ CSS ★ NTS

The probability that a thermistor randomly picked up from a production unit is defective is 0.1. The probability that out of 10 thermistors randomly picked up, 3 are defective is

Question 6 of 40
★ CSS ★ NTS

In a game, two players X and Y are tossing a coin alternately. Whoever gets a 'head' first, wins the game and the game is terminated. Find the chance that player X will win the game if he starts?

Question 7 of 40
★ CSS ★ NTS

A loaded dice has following probability distribution of occurrences Dice Value 1 2 3 4 5 6 Probability $$\frac{1}{4}$$ $$\frac{1}{8}$$ $$\frac{1}{8}$$ $$\frac{1}{8}$$ $$\frac{1}{8}$$ $$\frac{1}{4}$$ If three identical dice as the above are thrown, the probability of occurrence of values 1, 5 and 6 on the three dice is

Question 8 of 40
★ CSS ★ NTS

Consider a Gaussian distributed random variable with zero mean and standard deviation σ. The value of its cumulative distribution function at the origin will be

Question 9 of 40
★ CSS ★ NTS

Two independent random variables X and Y are uniformly distributed in the interval [-1, 1]. The probability that max [X, Y] is less than $$\frac{1}{2}$$ is

Question 10 of 40
★ CSS ★ NTS

An unbiased coin is tossed an infinite number of times. The probability that the fourth head appears at the tenth toss is

Question 11 of 40
★ CSS ★ NTS

The standard deviation of a uniformly distributed random variable between 0 and 1 is

Question 12 of 40
★ CSS ★ NTS

X and Y are two random independent events. It is known that P(X) = 0.40 and $${\text{P}}\left( {{\text{X}} \cup {{\text{Y}}^{\text{C}}}} \right) = 0.7.$$ Which one of the following is the value of $${\text{P}}\left( {{\text{X}} \cup {\text{Y}}} \right)\,?$$

Question 13 of 40
★ CSS ★ NTS

A screening test is carried out to detect a certain disease. It is found that 12% of the positive reports and 15% of the negative reports are incorrect. Assuming that the probability of a person getting a positive report is 0.01, the probability that a person tested gets in incorrect report is

Question 14 of 40
★ CSS ★ NTS

Suppose afair six-sided die is rolled once. If the value on the die is 1, 2 or 3 the die is rolled a second time. What is the probability that the sum of total values that turn up is at least 6?

Question 15 of 40
★ CSS ★ NTS

If X is a discrete random variable that follows Binomial distribution, then which one of the following response relations is correct?

Question 16 of 40
★ CSS ★ NTS

The number of parameters in the univariate exponential and Gaussian distributions, respectively, are

Question 17 of 40
★ CSS ★ NTS

If the difference between the expectation of the square of a random variable (E[x 2 ]) and the square of the expectation of the random variable (E[x]) 2 is denoted by R, then

Question 18 of 40
★ CSS ★ NTS

The probability density function of a continuous random variable distributed uniformly between x and y (for y > x) is

Question 19 of 40
★ CSS ★ NTS

If P(x) = $$\frac{1}{4}$$, P(Y) = $$\frac{1}{3}$$ and $${\text{P}}\left( {{\text{X}} \cap {\text{Y}}} \right) = \frac{1}{{12}},$$ the value of $${\text{P}}\left( {\frac{{\text{Y}}}{{\text{X}}}} \right)$$ is

Question 20 of 40
★ CSS ★ NTS

The probability that a communication system will have high fidelity is 0.81. The probability that the system will have both high fidelity and high selectivity is 0.18. The probability that a given system with high fidelity will have high selectivity is

Question 21 of 40
★ CSS ★ NTS

Suppose A and B are two independent events with probabilities P(A) ≠ 0 and P(B) ≠ 0. Let $$\overline {\text{A}} $$ and $$\overline {\text{B}} $$ be their complements. Which one of the following statements is FALSE?

Question 22 of 40
★ CSS ★ NTS

Probability density function of a random variable X is given below \[{\text{f}}\left( {\text{x}} \right) = \left[ {\begin{array}{*{20}{c}} {0.25}&{{\text{if }}1 \leqslant {\text{x}} \geqslant 5} \\ 0&{{\text{otherwise}}} \end{array}} \right]\,{\text{P}}\left( {{\text{X}} \leqslant 4} \right)\]

Question 23 of 40
★ CSS ★ NTS

A fail coin is tossed N times. The probability that head does not turn up in any of the tosses is

Question 24 of 40
★ CSS ★ NTS

There are 25 calculators in a box. Two of them are defective. Suppose 5 calculators are randomly picked for inspection (i.e., each has the same chance of being selected), what is the probability that only one of the defective calculators will be included in the inspection?

Question 25 of 40
★ CSS ★ NTS

A single dice is thrown twice. What is the probability that the sum is neither 8 nor 9?

Question 26 of 40
★ CSS ★ NTS

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

Question 27 of 40
★ CSS ★ NTS

Four red balls, four green balls and four blue balls are put in a box. Three balls are pulled our of the box at random one after another without replacement. The probability that all the three balls are red is

Question 28 of 40
★ CSS ★ NTS

The chance of a student passing an exam is 20%. The chance of a student passing the exam and getting above 90% marks in it is 5%. Given that a student passes the examination, the probability that the student gets above 90% marks is

Question 29 of 40
★ CSS ★ NTS

A program consists of two modules executed sequentially. Let f 1 (t) and f 2 (t) respectively denote the probability density functions of time taken to execute the two modules. The probability density function of the overall time taken to execute the program is given by

Question 30 of 40
★ CSS ★ NTS

The random variable X takes on the values 1, 2 (or) 3 with probabilities $$\frac{{2 + 5{\text{P}}}}{5},\frac{{1 + 3{\text{P}}}}{5}$$ and $$\frac{{1.5 + 2{\text{P}}}}{5}$$ respectively the values of P and E(X) are respectively.

Question 31 of 40
★ CSS ★ NTS

There are two containers, with one containing 4 red and 3 green balls and the other containing 3 blue and 4 green balls. One ball is drawn at random from each container. The probability that one of the balls is red and the other is blue will be

Question 32 of 40
★ CSS ★ NTS

A fair coin is tossed independently four times. The probability of the event "the number of times heads show up is more than the number of times tails show up" is

Question 33 of 40
★ CSS ★ NTS

Assume that the duration in minutes of a telephone conversion follows the expo-nential distribution $${\text{f}}\left( {\text{x}} \right) = \frac{1}{5}{{\text{e}}^{ - \frac{{\text{x}}}{5}}},\,{\text{x}} \geqslant {\text{0}}{\text{.}}$$ The probability that the conversion will exceed five minutes is

Question 34 of 40
★ CSS ★ NTS

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

Question 35 of 40
★ CSS ★ NTS

Marks obtained by 100 students in an examination are given in the table: Sr. No. Marks obtained No. of students 1 25 20 2 30 20 3 35 40 4 40 20 What would be mean, median and mode of marks obtained by the students?

Question 36 of 40
★ CSS ★ NTS

If X is a normal variable with mean 30 and standard deviation 5, what is probability (26 ≤ X ≤ 34), given A(z = 0.8) = 0.2881?

Question 37 of 40
★ CSS ★ NTS

If f(x) and g(x) are two probability density functions, \[{\text{f}}\left( {\text{x}} \right) = \left\{ {\begin{array}{*{20}{c}} {\frac{{\text{x}}}{{\text{a}}} + 1}&:&{ - {\text{a}} \leqslant {\text{x}} < 0} \\ { - \frac{{\text{x}}}{{\text{a}}} + 1}&:&{0 \leqslant {\text{x}} \leqslant {\text{a}}} \\ 0&:&{{\text{otherwise}}} \end{array}} \right.;\,\,{\text{g}}\left( {\text{x}} \right) = \left\{ {\begin{array}{*{20}{c}} { - \frac{{\text{x}}}{{\text{a}}}}&:&{ - {\text{a}} \leqslant {\text{x}} < 0} \\ {\frac{{\text{x}}}{{\text{a}}}}&:&{0 \leqslant {\text{x}} \leqslant {\text{a}}} \\ 0&:&{{\text{otherwise}}} \end{array}} \right.\] Which one of the following statements is true?

Question 38 of 40
★ CSS ★ NTS

If three coins are tossed simultaneously, the probability of getting at least one head is

Question 39 of 40
★ CSS ★ NTS

Consider a random variable to which a Poisson distribution is best fitted. It happens that P(x = 1) = $$\frac{2}{3}$$P(x = 2) on this distribution plot. The variance of this distribution will be

Question 40 of 40
★ CSS ★ NTS

A point is randomly selected with uniform probability in the X-Y. plane within the rectangle 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 p 2 is

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