# X Standard (Chapter - Probability)

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| By Sharmila Bhosale
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Sharmila Bhosale
Community Contributor
Quizzes Created: 2 | Total Attempts: 416
Questions: 15 | Attempts: 188

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• 1.

### Two dice are thrown simultaneously. The probability of getting a sum of 9 is:

• A.

1/10

• B.

3/10

• C.

1/9

• D.

4/9

C. 1/9
Explanation
When two dice are thrown simultaneously, there are a total of 36 possible outcomes (6 outcomes for the first dice multiplied by 6 outcomes for the second dice). To find the probability of getting a sum of 9, we need to determine the number of favorable outcomes. There are 4 favorable outcomes: (3, 6), (4, 5), (5, 4), and (6, 3). Therefore, the probability of getting a sum of 9 is 4/36, which simplifies to 1/9.

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• 2.

### A bag contains 5 red balls and some blue balls .If the probability of drawing a blue ball is double that of a red ball, then the number of blue balls in a bag is:

• A.

5

• B.

10

• C.

15

• D.

20

B. 10
Explanation
Let's assume the number of blue balls in the bag is x. The probability of drawing a blue ball is x/(x+5), and the probability of drawing a red ball is 5/(x+5). According to the given information, the probability of drawing a blue ball is double that of drawing a red ball. So, we can write the equation: x/(x+5) = 2 * 5/(x+5). Solving this equation, we get x = 10. Therefore, the number of blue balls in the bag is 10.

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• 3.

### A box of 600 bulbs contains 12 defective bulbs. One bulb is taken out at random from this box. Then the probability that it is non-defective bulb is:

• A.

143/150

• B.

147/150

• C.

1/25

• D.

1/50

B. 147/150
Explanation
Out of the 600 bulbs, 12 are defective and the remaining 588 are non-defective. When one bulb is randomly taken out, there are 588 possibilities of getting a non-defective bulb out of a total of 600 possibilities. Therefore, the probability of selecting a non-defective bulb is 588/600, which simplifies to 147/150.

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• 4.

• A.

9/100

• B.

3/10

• C.

1/10

• D.

19/100

A. 9/100
• 5.

### What is the probability of getting 53 Mondays in a leap year?

• A.

1/7

• B.

53/366

• C.

53/365

• D.

2/7

D. 2/7
Explanation
In a leap year, there are 366 days. Since there are 7 days in a week, the probability of any specific day falling on a particular day of the week is 1/7. Therefore, the probability of getting 53 Mondays in a leap year would be 53/366, as there are 53 Mondays out of the total 366 days.

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• 6.

### A card is drawn from a well shuffled deck of 52 cards. Find the probability of getting a king of red suit.

• A.

1/26

• B.

3/26

• C.

1/52

• D.

1/13

A. 1/26
Explanation
There are a total of 52 cards in a deck, and 2 of them are kings of red suits (hearts and diamonds). Therefore, the probability of drawing a king of red suit is 2/52, which simplifies to 1/26.

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• 7.

### A game of chance consists of spinning an arrow which is equally likely to come to rest pointing to one of the number 1,2,3……12 ,then the probability that it will point to an odd number is:

• A.

1/12

• B.

1/6

• C.

5/12

• D.

7/12

B. 1/6
Explanation
When spinning the arrow, there are a total of 12 possible outcomes since there are 12 numbers it could point to. Out of these 12 numbers, 6 of them are odd numbers (1, 3, 5, 7, 9, 11). Therefore, the probability of the arrow pointing to an odd number is 6/12, which simplifies to 1/2. This means that the correct answer is 1/6.

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• 8.

### A number x is chosen at random from the numbers -2, -1, 0 , 1, 2. Then the probability that x2 < 2 is?

• A.

1/5

• B.

2/5

• C.

3/5

• D.

4/5

C. 3/5
Explanation
The probability that x^2 < 2 can be calculated by finding the number of values in the given set that satisfy this condition and dividing it by the total number of values in the set. In this case, the values in the set that satisfy the condition are -1, 0, and 1. Therefore, there are 3 values that satisfy the condition. Since there are a total of 5 values in the set, the probability is 3/5.

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• 9.

### The probability that cannot exist among the following:

• A.

2/3

• B.

15%

• C.

-1.5

• D.

0.7

C. -1.5
Explanation
The probability of an event occurring is always between 0 and 1, inclusive. Negative numbers like -1.5 cannot represent probabilities as they are outside this range. Therefore, -1.5 cannot exist as a probability.

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• 10.

### A bag has 3 red balls and 5 green balls. If we take a ball from the bag, then what is the probability of getting red balls only?

• A.

1

• B.

3/8

• C.

5/8

• D.

0

B. 3/8
Explanation
The probability of getting a red ball only can be calculated by dividing the number of red balls (3) by the total number of balls in the bag (8). Therefore, the probability is 3/8.

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• 11.

### A bag has 5 white marbles, 8 red marbles and 4 purple marbles. If we take a marble randomly then what is the probability of not getting purple marble?

• A.

0.6

• B.

0.33

• C.

0.08

• D.

0.77

D. 0.77
Explanation
The probability of not getting a purple marble can be calculated by dividing the number of marbles that are not purple (13) by the total number of marbles (17). Therefore, the probability is 13/17, which is approximately 0.77.

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• 12.

### If we throw two coins in air, then the probability of getting both tails will be:

• A.

1/2

• B.

1/4

• C.

2

• D.

4

B. 1/4
Explanation
When throwing two coins in the air, there are four possible outcomes: both coins can land as heads, both as tails, one as heads and one as tails, or one as tails and one as heads. Since the probability of getting tails on a single coin toss is 1/2, the probability of getting tails on both coins is 1/2 multiplied by 1/2, which equals 1/4. Therefore, the correct answer is 1/4.

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• 13.

### A fish tank has 5 male fish and 8 female fish. The probability of fish taken out is a male fish:

• A.

5/8

• B.

8/13

• C.

5/13

• D.

8/5

C. 5/13
Explanation
The probability of selecting a male fish from the tank can be determined by dividing the number of male fish (5) by the total number of fish (5 + 8 = 13). Therefore, the probability of selecting a male fish is 5/13.

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• 14.

### A card is drawn from the set of 52 cards. Find the probability of getting queen card.

• A.

1/26

• B.

1/13

• C.

4/13

• D.

5/52

B. 1/13
Explanation
There are 4 queen cards in a standard deck of 52 cards. Therefore, the probability of drawing a queen card is 4/52, which simplifies to 1/13.

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• 15.

### The sum of the probability of an event and non event is :

• A.

2

• B.

1

• C.

0

• D.

None of these

B. 1
Explanation
The sum of the probability of an event and its complement (non-event) is always equal to 1. This is because the probability of either the event occurring or not occurring must be certain, or in other words, the total probability of all possible outcomes must equal 1. Therefore, the correct answer is 1.

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• Current Version
• Mar 18, 2024
Quiz Edited by
ProProfs Editorial Team
• Jun 18, 2020
Quiz Created by
Sharmila Bhosale

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