Probability MCQ Quiz - Objective Question with Answer for Probability - Download Free PDF

Last updated on May 24, 2025

Probability is that branch of mathematics that helps you to predict, how likely is an event to occur. Probability covers a major chunk of weightage in various entrance exams such as Banking, State CET, Aptitude Tests, etc. Testbook brings in a variety of probability questions with its solutions and explanations. It also assists you with some tips tricks to solve probability MCQs Quiz with ease. Read this article to ace your probability preparation.

Latest Probability MCQ Objective Questions

Probability Question 1:

If 3 coins are tossed simultaneously, then the probability of getting atleast 2 tails is

Answer (Detailed Solution Below)

Option 2 :

Probability Question 1 Detailed Solution

Given:

Number of coins tossed = 3

We need to find the probability of getting at least 2 tails.

Formula Used:

Probability (P) = Favorable outcomes / Total outcomes

Calculation:

Total outcomes when 3 coins are tossed = 23 = 8

Favorable outcomes for at least 2 tails:

Case 1: Exactly 2 tails = TTH, THT, HTT (3 outcomes)

Case 2: Exactly 3 tails = TTT (1 outcome)

Total favorable outcomes = 3 + 1 = 4

Probability (P) = Favorable outcomes / Total outcomes

⇒ P = 4 / 8

⇒ P = 1 / 2

The probability of getting at least 2 tails is 1/2.

Probability Question 2:

If two dice are thrown simultaneously, then the probability of getting distinct numbers on them is

Answer (Detailed Solution Below)

Option 1 :

Probability Question 2 Detailed Solution

Given:

Total outcomes when two dice are thrown = 6 × 6 = 36

Distinct numbers on two dice = Total outcomes - Outcomes with same numbers

Outcomes with same numbers = 6 (e.g., (1,1), (2,2), ..., (6,6))

Probability = Favorable outcomes / Total outcomes

Formula Used:

Probability = (Total outcomes - Outcomes with same numbers) / Total outcomes

Calculation:

Favorable outcomes = Total outcomes - Outcomes with same numbers

Favorable outcomes = 36 - 6

Favorable outcomes = 30

Probability = Favorable outcomes / Total outcomes

Probability = 30 / 36

Probability = 5 / 6

The probability of getting distinct numbers on two dice is 5/6.

Probability Question 3:

 If a card is drawn at random from a pack of 52 playing cards, then the probability of getting a card having a prime number is

Answer (Detailed Solution Below)

Option 4 :

Probability Question 3 Detailed Solution

Given:

Total cards in a deck = 52

Prime numbered cards: 2, 3, 5, 7 (each repeated in 4 suits) = 4 × 4 = 16 cards

Formula Used:

Probability = (Favorable outcomes) / (Total outcomes)

Calculation:

Favorable outcomes = 16

Total outcomes = 52

Probability = 16 / 52

⇒ Probability = 4 / 13

The probability of getting a card having a prime number is 4/13.

Probability Question 4:

A shelf in a library has nine books of three different subjects. Out of these, two are of physics, four are of chemistry and the rest are English. Find the probability that all the English books are together.

  1. 1/11
  2. 1/13
  3. 1/12
  4. 1/14

Answer (Detailed Solution Below)

Option 3 : 1/12

Probability Question 4 Detailed Solution

Given:

 A shelf in a library has nine books of three different subjects. Out of these, two are of physics, four are of chemistry and the rest are English

Calculation:

Total outcome = 9!/(2! × 4! × 3!) = 1260

Considering all the English books as one unit, we have 2 physics, 4 chemistry and one unit of English = 7

⇒ Now we can arrange all of these in 7!/(2! × 4!) = 105

∴ Required probability = 105/1260 = 1/12

Probability Question 5:

The probability that a leap year selected at random will contain either 53 Tuesdays or 53 Wednesdays is:

Answer (Detailed Solution Below)

Option 3 :

Probability Question 5 Detailed Solution

Given:

We are selecting a leap year at random.

We need the probability that it has either 53 Tuesdays or 53 Wednesdays.

Calculation:

A leap year has 366 days = 52 weeks + 2 extra days.

The extra 2 days can be: (Sun-Mon), (Mon-Tue), (Tue-Wed), (Wed-Thu), (Thu-Fri), (Fri-Sat), or (Sat-Sun)

Favorable outcomes:

53 Tuesdays occur if extra days are: (Mon-Tue) or (Tue-Wed)

53 Wednesdays occur if extra days are: (Tue-Wed) or (Wed-Thu)

So, favorable pairs = (Mon-Tue), (Tue-Wed), (Wed-Thu)

Total possible 2-day combinations = 7

Favorable cases = 3

∴ Required probability = 3 / 7

Answer: Option (3)

Top Probability MCQ Objective Questions

Probability of 3 students solving a question are  and . Probability to solve the question is:

Answer (Detailed Solution Below)

Option 4 :

Probability Question 6 Detailed Solution

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Probability of 3 students,

P(A) = 1/2, P(A̅) = 1/2

P(B) = 1/3, P(B̅) = 2/3

P(C) = 1/4, P(C̅) = 3/4

So, Probability of no one solve the question is =  = 1/4

⇒ P(None) = 1/4

Then, The probability to solve the question is = 1 - 1/4 = 3/4

Hence, the correct answer is "3/4".

Two cards are drawn randomly from a pack of 52 cards. What is the probability of getting one spade card and one diamond card?

  1. 13/51
  2. 1/2
  3. 1/4
  4. 13/102

Answer (Detailed Solution Below)

Option 4 : 13/102

Probability Question 7 Detailed Solution

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Concept used:

Total number of spade cards = 13

Total number of diamond cards = 13

Formula used:

P = Favorable outcomes/Total outcomes 

Calculation:

Total outcomes = 52C2 =  =  = 1326

Favourable outcomes = 13C1 × 13C1

= 13 × 13 = 169

∴ The Required Probability = 169/1326 = 13/102

Probability of getting a multiple of 2 on one dice and a multiple of 3 on the other dice, when both dice are thrown simultaneously is:

Answer (Detailed Solution Below)

Option 3 :

Probability Question 8 Detailed Solution

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Given:

Favorable outcomes are a multiple of 2 on one dice and a multiple of 3 on the other dice.

Concept used:

When two dice are thrown total outcome = 6 × 6 = 36

Probability = favourable outcomes/total outcomes

Explanation:

Favourable outcomes = (2,3), (4,3), (6,3), (2,6), (4,6), (6,6),

(3,2), (3,4), (3,6), (6,2), (6,4) = 11

Total outcomes = 6 × 6 = 36

∴ Probability = 11/36

The sample space of four coins tossed together is:

  1. 8
  2. 64
  3. 32
  4. 16

Answer (Detailed Solution Below)

Option 4 : 16

Probability Question 9 Detailed Solution

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Number of coins tossed = 4

∴ Sample space of four coins tossed = 24 = 16

Ajay rolled two dice together. What is the probability that first dice showed a multiple of 3 and the second dice showed an even number?

Answer (Detailed Solution Below)

Option 1 :

Probability Question 10 Detailed Solution

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GIVEN:

One dice shows a multiple of 3.

Other dice shows even number.

CONCEPT:

Total number of outcomes in two dice is 36.

FORMULA USED:

P = Favorable outcomes/Total outcomes 

CALCULATION:
There are only 6 such cases as required,

(3,2), (3,4) (3,6) (6,2) (6,4) (6,6)

∴ Required probability = 6/36 = 1/6

∴ The probability is 1/6.

The probability of Sita, Gita and Mita passing a test is 60%, 40% and 20% respectively. What is the probability that at Sita and Gita will pass the test and Mita will not?

  1. 38.4%
  2. 60%
  3. 4.8%
  4. 19.2%

Answer (Detailed Solution Below)

Option 4 : 19.2%

Probability Question 11 Detailed Solution

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Given

Probability of passing the test by Sita = 60% = 60/100

Probability of passing the test by Gita = 40% = 40/100

Probability of passing the test by Mita = 20% = 20/100

Formula

Probability of not happening even A = 1 - Probability of  happening even A

Probability of happening A and B = Probability of happening A × Probability of happening B

Calculation

Probability of not passing the test by Mita = 1 - Probability of passing the test by Mita

= 1 - (20/100)

= 80/100

Now,

Probability that at Sita and Gita will pass the test and Mita will not = Probability of passing the test by Sita × Probability of passing the test by Gita × Probability of not passing the test by Mita

= (60/100) × (40/100) × (80/100)

= 192/1000

= (192/10)%

= 19.2%

A bag contains 5 black and 6 white balls; two balls are drawn at random. What is the probability that the balls drawn are white?

  1. 10/11
  2. 4/11
  3. 6/11
  4. 3/11

Answer (Detailed Solution Below)

Option 4 : 3/11

Probability Question 12 Detailed Solution

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Given

Number of black balls = 5

Number of white balls = 6

Formula

Probability = Favorable events/Total possible events

Calculation

Favorable event = 6C2

Total possible events = 11C2

∴ Probability = 6C2/11C2 = (6 × 5)/(11 × 10) = 3/11

Three coins are tossed simultaneously. Find the probability of getting exactly two heads.

  1. 5/8
  2. 1/8
  3. 1/2
  4. 3/8

Answer (Detailed Solution Below)

Option 4 : 3/8

Probability Question 13 Detailed Solution

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Given:

Three coins are tossed simultaneously.

Formula:

Probability = Number of favorable outcomes/ Total number of outcomes.

Calculation:

When three coins are tossed then the outcome will be any one of these combinations. (TTT, THT, TTH, THH. HTT, HHT, HTH, HHH).

So, the total number of outcomes is 8.

Now, for exactly two heads, the favorable outcome is (THH, HHT, HTH).

We can say that the total number of favorable outcomes is 3.

Again, from the formula

Probability = Number of favorable outcomes/Total number of outcomes

Probability = 3/8

The probability of getting exactly two heads is 3/8.

A dice is rolled two times. Find the probability of getting a composite number on first roll and a prime number on second roll?

Answer (Detailed Solution Below)

Option 2 :

Probability Question 14 Detailed Solution

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Calculation

Number of composite number in a dice are  (4 and 6)

⇒ Probabilty of composite number in a dice = 2/6 = 1/3

⇒ Number of prime number in a dice = 2, 3 and 5

⇒ Probability of prime number in a dice = 3/6 = 1/2

∴The probability of getting a composite number on the first roll and a prime number on the second roll = 1/2 × 1/3 = 1/6

Two unbiased dice are rolled simultaneously. Find the probability of getting sum greater than 5.

  1. 13/18
  2. 23/36
  3. 7/9
  4. 5/9
  5. 11/18

Answer (Detailed Solution Below)

Option 1 : 13/18

Probability Question 15 Detailed Solution

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GIVEN:

Number of unbiased dice = 2

CONCEPT:

Probability (Event) = Number of favorable outcome / Total outcome

CALCULATION:

No. of ways of rolling a pair of dice = 6 × 6 = 36

Let E = event of getting a sum greater than 5 = {(1, 6), (1, 5), (2, 6),(2, 5), (2, 4), (3, 6), (3, 5), (3, 4), (3, 3), (4, 6), (4, 5), (4, 4), (4, 3), (4, 2), (5, 6), (5, 5),(5, 4), (5, 3), (5, 2), (5, 1), (6, 6), (6, 5), (6, 4), (6, 3), (6, 2), (6,1)}

n(E) = 26

⇒ Required probability = 26/36 = 13/18

⇒ The probability of getting sum greater than 5 = 13/18

 

GIVEN:

Number of unbiased dice = 2

CONCEPT:

Probability (Event) = 1 - (Number of non favorable outcome / Total outcome)

Probability of getting a sum greater than 5 = 1 - (Probability of getting a sum less than or equal to 5)

CALCULATION:

No. of ways of rolling a pair of dice = 6 × 6 = 36

Let F = event of getting a sum less than or equal to 5 = {(1, 1), (1, 2), (1, 3), (1, 4), (2, 1), (2, 2), (2, 3), (3, 1), (3, 2), (4,1)}

n(F) = 10

⇒ Required probability = 1 - (10/36) = 1 - (5/18) = 13/18

∴ The probability of getting sum greater than 5 = 13/18

Important Points

When we have a large number of cases like 26 in case of Event (E) then we calculate non-favorable outcome(Compliment event i.e. 1 - favourable event)

Mistake Points

In this question, we have to avoid the cases in which sum of digit is equal to five like{(1, 4),(2, 3),(3, 2),(4,1)}

Additional Information

Probabilities for the two dice

The total sum from two dice Number of combinations
2 1
3 2
4 3
5 4
6 5
7 6
8 5
9 4
10 3
11 2
12 1
Total 36

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