Important Questions for CBSE Class 10 Maths Chapter 14 Probability: FREE PDF Download
Probability is one of the most interesting and practical chapters in the CBSE Class 10 Maths syllabus. Chapter 14 introduces students to the basics of probability, including theoretical probability and its applications in everyday scenarios. Understanding this chapter is essential for solving problems related to random experiments, events, and their likelihood, which are common in board exams.
To make preparation easier, we’ve prepared a set of important questions for CBSE Class 10 Maths Chapter 14 Probability. These questions are based on the latest CBSE syllabus and cover all the key concepts and problem types. You can download the FREE PDF Class 10 Maths Important Questions to practice and strengthen your understanding of probability.






CBSE Class 10 Maths Important Questions - Chapter 14 Probability
Access Class 10 Maths Chapter 14 Probability Important Questions
1. An integer is chosen at random from the first two hundreds digit. What is the probability that the integer chosen is divisible by
Ans: First
First
Thus, there are total
So, the probability that the integer chosen is divisible by
2. A box contains
Ans: When some balls are drawn randomly, then it ensures equal likely outcomes.
There are a total
So,
Now, let there are
Thus, the probability that a ball drawn is black
Since,
By the given condition, the probability obtained for drawing black ball in the second case is
Thus, there are
3. A bag contains
Ans: Since, there are
Therefore, the probability that a blue ball is drawn
The probability that a red ball is drawn
So, by the given condition, we have
Thus, the value of
4. A card is drawn from a well shuffled deck of cards.
i) What are the odds in favour of getting spade?
Ans. There are
So, the number of cards remaining is
Therefore, the odds in favour of getting spades is
ii) What are the odds against getting a spade?
Ans. The odds against getting a spade are
iii) What are the odds in favour of getting a face card?
Ans. The odds of obtaining a face card are
The odds in favour of getting a face card
iv) What are the odds in favour of getting a red king
Ans: The odds of obtaining a red king are
The odds of not getting a red king are
Thus, the odds in favour of getting a red king are
5. A die is thrown repeatedly until a six comes up. What is the sample space for this experiment? HINT:
Ans: The sample space for the given experiment is
6. Why is tossing a coin considered to be a fair wav of deciding which team should get the ball at the beginning of a football match?
Ans: Tossing a coin gives equally likely outcomes since they are mutually exclusive events. That’s why tossing a coin is considered to be a fair wav of deciding which team should get the ball.
7. A bag contains
Ans: Suppose that the number of blue balls in the bag is
Therefore, the number of total balls contained in the bag
Then, the probability that a blue ball is drawn,
Also, the probability that a red ball is drawn,
Now, by the given condition,
Thus, the number of blue balls in the bag is
8. A box contains
Ans: The total number of possible outcomes is
Suppose that, the number of favourable outcomes on the event of drawing black ball is
Thus, the probability of getting a black ball
If
Then, the number of black balls
Thus, the probability of drawing a black ball is
Now, by the given condition,
Therefore,
9. If
(i) Blue eves
Ans. The number of black eyes
The number of Brown eyes
The number of blue eyes
Thus, there are a total of
Therefore, the probability of having blue eyes
(ii) Brown or black eves
Ans. The probability of having brown or black eyes
(iii) Blue or black eves
Ans. The probability of having blue or black eyes
(iv) neither blue nor brown eves
Ans: The probability of having neither blue nor brown eyes
10. Find the probability of having
i) a non-leap year
Ans. We know that there are
This day may be any one of the
Thus, the probability that this day is Sunday
Hence, the probability that an ordinary year has
ii) a leap year
Ans: It is known that, there are
These two days can be
11. Five cards - the ten, Jack, queen, king and ace, are well shuffled with their face downwards. One card is then picked up at random.
(i) What is the probability that the card is the queen?
Ans. The number of total possible outcomes is
Since, the number of Queen is
the number of favourable outcomes
Thus, the probability of getting a Queen card
(ii) If the queen is drawn and put aside, what is the probability that the second card picked up is (a) an ace? (b) a queen?
Ans. Since, one card is put aside, so now, the number of total possible outcomes is
(a) Since, there is only one ace card, so the number of favourable outcomes is
Thus, the probability of getting an ace card
(b) Since, there is no queen card left after the first pick up, so the number of favourable outcomes is
Thus, the probability of getting a Queen card
12. A number x is chosen at random from the numbers
Ans:
Now, for
So, the required probability,
13. A number
Ans: Number
Therefore, the number of favourable occurrences is
Thus, the probability that the product will be less than
14. In the adjoining figure a dart is thrown at the dart board and lands in the interior of the circle. What is the probability that the dart will land in the shaded region?

Ans: It is given that,
Then, by the Pythagorean Theorem on the triangle
Therefore, the area of the circle is
Also, the area of
Thus, the area of the shaded region
That is, Area of shaded region
Thus, the probability dart will land in the shaded region
15. In the fig points
Ans: It is given that the radius of the circle is
Therefore, area of the circle
Thus, the side of the square
Therefore, the area of square
So, the area of the shaded region
Hence, the required probability
16. In the adjoining figure

Ans: The area of the
The area of the
The area of the
Therefore, the area of the
Hence, the probability that the point will be selected from the interior of
17. In a musical chair, the person playing the music has been advised to stop playing the music at any time within
Ans: All the numbers between
Let

The points on the number line from Q to P represent the total number of outcomes. That is, from
The required probability,
18. A jar contains
Ans: Suppose that
Therefore,
So, the probability of choosing a blue marble
Since, the probability of choosing a blue marble
Again, the probability of choosing a green marble
Therefore,
Now, putting the obtained values of
Hence, there are a total of
1 Marks Questions
1. Complete the statements:
(i) Probability of event
Ans. Probability of event
(ii) The probability of an event that cannot happen is _________. Such an event is called ________.
Ans. The probability of an event that cannot happen is
(iii) The probability of an event that is certain to happen is________. Such an event is called __________.
Ans. The probability of an event that is certain to happen is
(iv) The sum of the probabilities of all the elementary events of an experiment is _________.
Ans. The sum of the probabilities of all the elementary events of an experiment is
(v) The probability of an event is greater than or equal to ________ and less than or equal to __________.
Ans. The probability of an event is greater than or equal to
2. Which of the following cannot be the probability of an event:
(A)
(B)
(C)
(D)
Ans. By the definition of probability, the maximum and minimum value of probability are
Therefore,
Thus, option (B) is the correct answer.
3. If
Ans. It is known that,
4. It is given that in a group of
Ans. Suppose that
Then,
It is known that,
Thus, the probability that the
5.
Ans. The number of total favourable outcomes
There are
Thus, the probability of getting a good pen
6. Which of the following is polynomial?
(a)
(b)
(c)
(d) none of these
Ans. (d) none of these.
7. Polynomial
(a) linear polynomial
(b) quadratic polynomial
(c) cubic polynomial
(d) bi-quadratic polynomial
Ans. Since, the degree of the polynomial
Thus, option (d) is the correct answer.
8. If
(a)
(b)
(c)
(d)
Ans. Since,
Thus, option (b) is the correct answer.
9. The sum and product of the zeros of a quadratic polynomial are
(a)
(b)
(c)
(d)
Ans. The polynomial with the sum of zeroes
So, option (b) is the correct answer.
10. Cards each marked with one of the numbers
(a)
(b)
(c)
(d)
Ans. The number of possible outcomes is
Now, the only number which is even and prime is
So, the probability of getting an even prime
Thus, option (a) is the correct answer.
11. A bag contains
(a)
(b)
(c)
(d) None of these
Ans. There are a total of
Therefore, the probability of getting a black ball
Thus, option (c) is the correct answer.
12. A dice is thrown once, what is the probability of getting a prime number?
(a)
(b)
(c)
(d)
Ans. The number of possible outcomes while throwing one dice is
Now, the list of
Therefore, the probability of getting a prime number is
Thus, option (b) is the correct answer.
13. What is the probability that a number selected from the numbers
(a)
(b)
(c)
(d)
Ans. The number of total possible outcomes is
The list of
Therefore, the probability of selecting a number that is multiple of
Thus, option (a) is the correct answer.
14. Cards marked with the numbers
(a)
(b)
(c)
(d) None of these
Ans. From
The number of events from
Thus, the probability of getting a card with an even number
Hence, option (a) is the correct answer.
15. The king, queen and jack of clubs are removed from a deck of
(a)
(b)
(c)
(d) none of these
Ans. Since, from the deck of
In
Thus, the probability of getting a king
Hence, option (a) is the correct answer.
16. What is the probability of getting a number less than
(a)
(b)
(c)
(d) none of these
Ans. The number of total possible outcomes is
All the numbers less than
Thus, the probability of getting a number less than
Hence, option (c) is the correct answer.
17. One card is drawn from a well shuffled deck of
(a)
(b)
(c)
(d)
Ans. The number of possible outcomes is
The number of cards with
Thus, the probability of drawing ‘
Hence, option (a) is the correct answer.
18. Cards each marked with one of the numbers
(a)
(b)
(c)
(d)
Ans. The number of possible outcomes is
Now, the only number which is even and prime is
So, the probability of getting an even prime
Thus, option (a) is the correct answer.
19. A bag contains
(a)
(b)
(c)
(d) None of these
Ans. There are a total of
Therefore, the probability of getting a black ball
Thus, option (c) is the correct answer.
20. A dice is thrown once, what is the probability of getting a prime number?
(a)
(b)
(c)
(d)
Ans. The number of possible outcomes while throwing one dice is
Now, the list of
Therefore, the probability of getting a prime number is
Thus, option (b) is the correct answer.
21. What is the probability that a number selected from the numbers
(a)
(b)
(c)
(d)
Ans. The number of possible outcomes is
Now, the list of the
Therefore, the required probability
Thus, option (a) is the correct answer.
22. If
(a)
(b)
(c)
(d)
Ans. By the definition of probability, the maximum and minimum value of probability are
So,
Thus, option (c) is the correct answer.
23. Maximum and minimum value of probability is
(a)
(b)
(c)
(d) none of these
Ans. By the definition of probability, the maximum and minimum value of probability are
Thus, the option (b) is the correct answer.
24. An unbiased die is thrown. What is the probability of getting an even number or a multiple of
(a)
(b)
(c)
(d) none of these
Ans. The number of possible outcomes while throwing an unbiased die is
Also, the numbers, which are multiple of
Thus, the
Hence, the probability of getting an even number or a multiple of
So, option (a) is the correct answer.
25. Let
(a)
(b)
(c)
(d)
Ans. By the definition of probability,
if
So, option (a) is the correct answer.
26. Degree of polynomial
(a)
(b)
(c)
(d)
Ans. It is known that the degree of a polynomial is the highest power of the variable contained in that polynomial.
Therefore, the degree of the polynomial
Thus, option (c) is the correct answer.
27. Zeros of
(a)
(b)
(c)
(d)
Ans. The zeros of the polynomial
Thus, option (b) is the correct answer.
28. The quadratic polynomial whose zeros are
(a)
(b)
(c)
(d) None of these
Ans. The polynomial with the zeroes
So, option (a) is the correct answer.
29. If
(a)
(b)
(c)
(d) none of these
Ans. Since,
and
Therefore,
So, option (a) is the correct answer.
2 Marks Questions
1. Which of the following experiments have equally likely outcomes? Explain.
(i) A driver attempts to start a car. The car starts or does not start.
Ans. “A driver tries to start a car” in the experiment. We cannot presume that each event is equally likely to occur since the car starts or does not start. As a result, there are no equally likely outcomes in the experiment.
(ii) A player attempts to shoot a basketball. She/he shoots or misses the shot.
Ans. “A player tries to shoot a basketball,” says the experiment. We cannot assume that each result is equally likely to occur, whether she shoots or misses the shot. As a result, no equally likely outcomes are possible in the experiment.
(iii) A trial is made to answer a true-false question. The answer is right or wrong.
Ans. During the test, “A true-false question is asked in a trial. The response is correct or incorrect.” We know with certainty that the outcome will be one of two likely outcomes: right or wrong. We can reasonably expect each event, correct or wrong, to occur in the same way.
As a result, the likelihood of doing it right or wrong are equal.
(iv) A baby is born. It is a boy or a girl.
Ans. “A baby is born, it is a boy or a girl,” says the experiment. We know with certainty that the outcome will be one of two likely outcomes: a boy or a girl. We have reason to believe that each event, boy or girl, is equally likely to occur. As a result, both boy and female outcomes are equally likely.
2. Why is tossing a coin considered to be a fair way of deciding which team should get the ball at the beginning of a football game?
Ans. Because we know that a coin toss can only land in one of two ways – head up or tail up – the tossing of a coin is regarded as a fair manner of selecting which team should have the ball at the start of a football game. It is reasonable to infer that either event, whether head or tail, has the same probability of occurring as the other, i.e., the outcomes head and tail are equally likely to occur. So, the outcome of a coin toss is absolutely unexpected.
3. A bag contains lemon flavoured candles only. Malini takes out one candy without looking into the bag. What is the probability that she takes out:
(i) an orange flavoured candy?
Ans. Consider the occurrence with the experiment of removing an orange-flavoured candy from a bag of lemon-flavored candies.
Note that, there are not any outcomes that represent an orange flavoured candy.
Hence, the event is impossible and so its probability is
(ii) a lemon flavoured candy?
Ans. Consider the event of taking a lemon flavoured candy from a bag that contains only lemon flavoured candies.
This event represents a certain event. So, its probability is
4. A bag contains
(i) red?
Ans. The number of total balls in the bag is
Since the bag contains 3 red balls, the number of favourable outcomes is
Thus, the probability of getting a red ball
(ii) not red?
Ans. There are
So, the number of favourable outcomes is
Thus, the probability of obtaining a ball that is not red
5. A box contains
(i) red?
Ans. The number of total marbles in the box
So, the number of possible outcomes is
The number of red marbles in the box is
Therefore, the number of favourable outcomes is
Hence, the probability of getting a red marble
(ii) white?
Ans. The number of white marbles in the box is
So, the number of favourable outcomes
Thus, the probability of getting a white marble
(iii) not green?
Ans. The number of marbles which are not green is
So, the number of favourable outcomes is
Thus, the probability of not obtaining a green marble
6. A piggy bank contains hundred
(i) will be a
Ans. The number of total coins in a piggy bank
That is, the number of total possible outcomes is
Now, since, in the piggy bank, the number of
Thus, the probability of falling out of a
(ii) will not be a Rs.
Ans. Except the Rs.
So, the number of favourable outcomes is
Thus, the probability of falling out of a coin other than Rs.
7. Gopi buys a fish from a shop for his aquarium. The shopkeeper takes out one fish at random from a tank containing
Ans. The total number of fish (male and female) in the tank
So, the total number of possible events is
Now, since, the number of male fishes in the tank is
Thus, the probability of taking out a male fish
8. Five cards – then ten, jack, queen, king and ace of diamonds, are well-shuffled with their face downwards. One card is then picked up at random.
(i) What is the probability that the card is the queen?
Ans. The number of total possible outcomes is
Since, the number of Queen is
the number of favourable outcomes
Thus, the probability of getting a Queen card
(ii) If the queen is drawn and put aside, what is the probability that the second card picked up is (a) an ace? (b) a queen?
Ans. Since, one card is put aside, so now, the number of total possible outcomes is
(a) Since, there is only one ace card, so the number of favourable outcomes is
Thus, the probability of getting an ace card
(b) Since, there is no queen card left after the first pick up, so the number of favourable outcomes is
Thus, the probability of getting a Queen card
9. (i) A lot of
Ans. The number of total possible outcomes is
The number of defective bulbs is
Therefore, the favourable outcomes are
Thus, the probability of getting a defective bulb
(ii) Suppose the bulb drawn in (i) is not defective and is not replaced. Now one bulb is drawn at random from the rest. What is the probability that this bulb is not defective?
Ans. Since, one defective bulb is replaced, so the number of favourable outcomes
Now, there are total
That is, the number of favourable outcomes is
Thus, the probability of getting a non-defective bulb is
10. A box contains
(i) a two-digit number
Ans. Since, there are a total of
So, the number of favourable outcomes is
Thus, the probability of getting a disc with a two-digit number
(ii) a perfect square numbers.
Ans. From 1 to 90, the perfect squares are 1, 4, 9, 16, 25, 36, 49, 64 and 81.
Favourable outcomes = 9
Hence P (getting a perfect square) =
(iii) a number divisible by
Ans. The numbers divisible by 5 from 1 to 90 are 18.
Favourable outcomes = 18
Hence P (getting a number divisible by 5) =
11. A child has a die whose six faces show the letters as given below:
The die is thrown once. What is the probability of getting:
(i)
Ans. The number of total possible outcomes
Since, there are
Thus, the probability of getting a letter
(ii)
Ans. Since, there is only one
Therefore, the probability of getting a letter
12. Suppose you drop a die at random on the rectangular region shown in the figure given on the next page. What is the probability that it will land inside the circle with diameter

Ans. The area of rectangle (in the given figure)
Also, the area of the circle inside the rectangle,
Thus, the probability that the die will land inside the circle
13. A lot consists of
(i) she will buy it
Ans. The total number of ball pens is
There are
So, the number of good pens
That is, there are
Hence, the probability that she will buy
(ii) she will not buy it?
Ans. There are
Thus, the probability that she will not buy
14. A bag contains
Ans. Suppose that the number of blue balls in the bag is
Therefore, the number of total balls contained in the bag
Then, the probability that a blue ball is drawn,
Also, the probability that a red ball is drawn,
Now, by the given condition,
Thus, the number of blue balls in the bag is
15. A box contains
If
Ans. It is given that the box contains
So, there are a total of
Now, let there are
Then, the probability of getting a black ball,
Now, if
Then, there are
Therefore, now, the probability of getting a black ball,
So, the given condition,
Thus, the value of
16. A jar contains
Ans. Since, the jar contains
Suppose that there are
Therefore, the number of favourable outcomes is
So, the probability of getting a green marble is
It is given that the probability that the marble drawn is green
That is,
So, the number of green marbles is
Hence, the number of blue marbles
17. Why is tossing a coin considered is the way of deciding which team should get the ball at the beginning of a football match?
Ans. When a coin is tossed, the probability of getting head
probability of getting a tail
So, both probabilities are the same.
That’s why, tossing a coin is considered to be a fair way of deciding which team should get the ball.
18. An unbiased die is thrown, what is the probability of getting an even prime number?
Ans. When an unbiased die is thrown, the list of
Also, the number of favourable outcomes is
Thus, the probability of getting an even prime number is
19. Two unbiased coins are tossed simultaneously, find the probability of getting two heads.
Ans. The list of
The only favourable outcome is
Thus, the probability of getting two heads while tossing two unbiased coins simultaneously
20. One card is drawn from a well shuffled deck of
Ans. The number of total outcomes is
The only favourable case is
Hence, the probability of getting a jack of hearts
21. A game consists of tossing a one-rupee coin
Ans. It is given that a coin is tossed thrice.
So, the list of possible outcomes is given by
Therefore, the number of possible outcomes is
The outcomes with
So, the number of favourable outcomes is
Thus, the probability that Hanif will win the game
The probability that Hanif will lose the game
22. Gopy buys a fish from a shop for his aquarium. The shopkeeper takes out one fish at random from a tank containing
Ans. The number of total fishes
There are
Thus, the probability that the fish taken out is a male
23. A lot consists of
(i) she will buy it
Ans. The total number of ball pens is
There are
So, the number of good pens
The probability that she will buy
(ii) she will not buy it?
Ans. The probability that she will not buy
24. Harpreet tosses two different coins simultaneously (say one is of Rs
Ans. The list of
The list of
Thus, the probability of getting at least one head
25. Why is tossing a coin considered is the way of deciding which team should get the ball at the beginning of a football match?
Ans. When a coin is tossed, the probability of getting head
probability of getting a tail
That is, both the probabilities are the same.
That’s why, tossing a coin is considered to be a fair way of deciding which team should get the ball.
26. Two unbiased coins are tossed simultaneously, find the probability of getting two heads.
Ans. The list of
Therefore, the only favourable outcome is
Hence, the probability of getting two heads while tossing two unbiased coins
27. One card is drawn from a well shuffled deck of
Ans. The number of total outcomes is
The number of favourable cases is
Hence, the probability of getting a jack of hearts is
28. If two dice are thrown once, find the probability of getting
Ans. The number of total possible outcomes while throwing two dice is
The possible outcomes for getting
That is, the favourable outcomes are
Hence, the probability of getting
29. A card is drawn from a well shuffled deck of playing cards. Find the probability of getting a face card.
Ans. It is known that the deck of playing cards contains
The number of favourable outcomes is
Thus, the probability of getting a face card while drawing a random card from the well shuffled deck is
30. What is the probability of having
Ans. It is known that, there is
These two days can be
31. Cards bearing numbers
Ans. The number of total outcomes is
The list of
So, there are a total of
Thus, the probability of getting a card marked with an even number is
3 Marks Questions
1. A game of chance consists of spinning an arrow which comes to rest pointing at one of the numbers

(i)
Ans. An arrow can point to any of the
Therefore, there are
So, the number
Thus, the probability that the arrow points at
(ii) an odd number?
Ans. In the circle, there are only
So, there are
Thus, the probability that the arrow points at an odd number is
(iii) a number greater than
Ans. In the circle, the numbers greater than
So, there are a total of
Thus, the probability that the arrow points at a number greater than
(iv) a number less than
Ans. In the circle, the numbers that are less than
So, there are
Thus, the probability that the arrow points at a number less than
2. A dice is thrown once. Find the probability of getting:
(i) a prime number.
Ans. The total number of favourable outcomes from a dice roll is
The prime numbers that can appear in the dice are
Thus, the number of possible outcomes is
So, the probability of getting a prime number is
(ii) a number lying between
Ans. On a dice, the numbers which lie between
So, there are a total of
Thus, the probability of getting a number lying between
(iii) an odd number.
Ans. The odd numbers on a dice are
So, there are a total of
Thus, the probability of obtaining an odd number is
3. A game consists of tossing a one-rupee coin
Ans. When a coin is tossed three times, then the outcomes are:
So, there are a total of
The outcomes when he loses the game are:
Therefore, there are a total of
Thus, the probability of losing the game is
4. A die is numbered in such a way that its faces show the numbers
+ | 1 | 2 | 2 | 3 | 3 | 6 |
1 | 2 | 3 | 3 | 4 | 4 | 7 |
2 | 3 | 4 | 4 | 5 | 5 | 8 |
2 | 5 | |||||
3 | ||||||
3 | 5 | 9 | ||||
6 | 7 | 8 | 8 | 9 | 9 | 12 |
What is the probability that the total score is:
(i) even
Ans. The following describes the complete table:
+ | 1 | 2 | 2 | 3 | 3 | 6 |
1 | 2 | 3 | 3 | 4 | 4 | 7 |
2 | 3 | 4 | 4 | 5 | 5 | 8 |
2 | 3 | 4 | 4 | 5 | 5 | 8 |
3 | 4 | 5 | 5 | 6 | 6 | 9 |
3 | 4 | 5 | 5 | 6 | 6 | 9 |
6 | 7 | 8 | 8 | 9 | 9 | 12 |
There are total
Now, the number of favourable outcomes of obtaining a total score that is even is
Thus, the probability of obtaining a total score even is
(ii)
Ans. The favourable outcomes of obtaining a total score
Thus, the probability of obtaining a total score of
(iii) at least
Ans. The favourable outcomes of obtaining a total score at least
5.
(i) an even number.
Ans. From
So, the number of possible outcomes is
Now, the list of the
Thus, the probability of drawing a card marked with an even number
(ii) a number divisible by
Ans. The list of
So, the number of favourable outcomes is
Thus, the probability of drawing a card marked with a number divisible by
6. A bag contains
(a) white
Ans. The bag contains a total of
So, there are a total of
Now, the number of white balls in the bag is
Thus, the probability of drawing a white ball is
(b) neither red nor white
Ans. The number of balls that are neither red nor white
So, the number of possible outcomes is
Hence, the probability of drawing a ball that is neither red nor white
7. A box contains
(i) an odd number
Ans. From
Now, the list of
Thus, the probability of drawing a ball bearing an odd number is
(ii) divisible by
Ans. The list of
The list of
Now, the
So, the numbers divisible by
Thus, there are a total of
Hence, the probability of drawing a ball bearing a number that is divisible by
(iii) prime number
Ans. The list of
So, the number of favourable outcomes is
Thus, the probability of drawing a ball bearing a prime number is
8. A bag contains
(i) if probability of drawing a blue ball from the bag is twice that of a red ball, find the number of blue balls in the bag.
Ans. Suppose that there are
So, there are a total of
Therefore, the probability of drawing a blue ball
the probability of drawing a red ball
Now, by the given condition,
Thus, there are a total of
(ii) if probability of drawing a blue ball from the bag is four times that of a red ball, find the number of blue balls in the bag.
Ans. According to the given condition,
Thus, there are a total of
9. A box contains
Ans. The number of total possible outcomes is
There are a total of
So, the probability of taking a white marble
There are a total of
Therefore, the probability of taking a blue marble
Also, there are a total of
Thus, the probability of getting a red marble
10. The integers from 1 to 30 inclusive are written on cards (one number on one card). These card one put in a box and well mixed. Joseph picked up one card. What is the probability that his card has
(i) number
Ans. From
So, there are a total of
Thus, the probability of getting the number
(ii) an even number
Ans. The list of
So, there are a total of
Hence, the probability of picking up an even number
(iii) a prime number
Ans. The list of
So, there are a total of
Hence, the probability of picking up a prime number
11. A bag contains lemon flavoured candies only. Malini takes out one candy without looking into the bag. What is the probability that she takes out
(i) an orange flavoured candy?
Ans. It is given that the bag has only lemon flavoured candies.
So, the probability of getting an orange flavoured candy
(ii) a lemon flavoured candy?
Ans. It is provided that the bag contains only the lemon flavoured candies.
So, the probability of getting an orange flavoured candy
12. A bag contains
Ans. Let there be
So, the bag contains a total of
Therefore, the probability of drawing a blue ball
the probability of drawing a red ball
Now, by the given condition,
Thus, there are a total of
13. A bag contains
(i) of red colour.
Ans. The bag contains total
Also, the number of red balls contained in the bag is
Hence, the probability of selecting a red ball is
(ii) not of green colour.
Ans. The number of balls except the green ones
So, the number of favourable outcomes is
Thus, the probability of selecting a ball that is not green is
14. From a well shuffled pack of
Ans. A pack of cards contains
Therefore, the number of cards left
So, there are
Also, in
Hence, the probability of drawing a king or a queen is
15. Which of the following experiments have equally likely outcomes? Explain.
(i) A driver attempts to start a car. The car starts or does not start.
Ans. When a driver tries to start a car, the likelihood of the car starting or not starting are not equal.
(ii) A player attempts to shoot a basketball, she/he shoots or misses the shot.
Ans. When a player tries to shoot a basketball, the likelihood of hitting the target or missing the shot are not equal.
(iii) A baby is born. It is a boy or a girl.
Ans. A baby is born; whether it is a boy or a girl, is an equally likely event.
16. Find the probability that a number selected at random from the numbers
(i) prime number
Ans. The list of
Between
Thus, the probability that the chosen number is a prime
(ii) multiple of
Ans. The list of
So, the number of favourable outcomes is
Thus, the probability of choosing a number that is multiple of
(iii) multiple of
Ans. The list of
Also, the list of
Thus, the numbers that are multiple of both
So, the numbers which are multiple of
Thus, the probability of getting a number that is multiple of
4 Marks Questions
1. One card is drawn from a well-shuffled deck of
(i) a king of red colour.
Ans. Total number of outcomes
There are two suits of red cards, that is, diamond and heart.
Each of the suits has one king.
So, there is only one favourable outcome.
Thus, the probability of getting a king of red colour
(ii) a face card
Ans. The number of face cards in a pack is
So, the number of favourable outcomes is
Thus, the probability of getting a face card is
(iii) a red face card
Ans. It is known that there are
Therefore, there are a total of
Thus, the probability of getting a red face card
(iv) the jack of hearts
Ans. Recall that, in a deck of
So, the number of favourable outcomes is
Thus, the probability of getting the jack of hearts
(v) a spade
Ans. It is known that there are
So, the number of favourable outcomes is
Thus, the probability of getting a spade is
(vi) the queen of diamonds.
Ans. Note that, there is only one queen of diamonds.
So, the number of favourable outcomes is
Thus, the probability of getting the queen of diamonds
2. A die is thrown twice. What is the probability that:
(i)
Ans. The following are the outcomes of the experiment where a dice is thrown twice:
So, there are a total
Now let
let
Thus, there are a total
Therefore,
Hence, the probability that
(ii)
Ans. Suppose that,
Therefore,
Then,
and
Thus, the probability that
3. Two customers Shyam and Ekta are visiting a particular shop in the same week (Tuesday to Saturday). Each is equally likely to visit the shop on any day as on another day. What is the probability that both will visit the shop on the following days?
(i) the same day?
Ans. The list of favourable outcomes related with two consumers visiting a specific shop in the same week (Tuesday to Saturday) is:
Therefore, there are a total of
Now, the outcomes of visiting on the same day can be listed as
Thus, the probability that both Shyam and Ekta will visit the shop on the same day is
(ii) consecutive days?
Ans. The list of favourable outcomes of visiting the shop on consecutive days are
So, there are a total of
Thus, the probability that both Shyam and Ekta will visit the shop on consecutive days
(iii) different days?
Ans. There are total
So, there are a total of
Thus, probability that both Shyam and Ekta will visit the shop on different days
4. A card is drawn at random from a well shuffled deck of playing cards. Find the probability that the card drawn is
(i) a card of spades of an ace
Ans. The number of cards in a deck
There are a total of
There is one card which is common [i.e., ace of spade]
So, the number of favourable outcomes
Thus, the probability of getting a card of spades of an ace
(ii) a red king
Ans. The number of red kings
Thus, the probability of getting a red king is
(iii) neither a king nor a queen.
Ans. The total number of kings and queens
The number of cards that are neither king nor a queen
Thus, the probability of getting neither a king nor a queen is
(iv) either a king or a queen
Ans. The total number of kings and queens
Thus, the probability of getting either a king or a queen is
(v) a face card.
Ans. The number of face cards
Therefore, the probability of getting a face card is
(vi) cards which is neither king nor a red card.
Ans. The number of cards that are neither red card nor king
Thus, the probability of getting a card that is neither a king nor a red card
5. Cards marked with numbers
(i) a prime number?
Ans. Total number of outcomes that are possible
There are
Thus, the probability of getting a prime number
(ii) a multiple of
Ans. The numbers that are multiple of
So, there are a total of
Therefore, the probability of getting a multiple of
(iii) an odd number?
Ans. The odd numbers can be listed as
Therefore, there are a total
Thus, the probability of getting an odd number
(iv) neither divisible by
Ans. The numbers that are neither divisible by
So, there are a total of
Thus, the probability of getting a number that is neither divisible by
(v) perfect square?
Ans. The perfect square numbers can be listed as
Therefore, there are a total of
Thus, the probability of getting a perfect square number
(vi) a two-digit number?
Ans. All two-digit numbers can be listed as
So, there are a total
Thus, the probability of getting a two-digit number
6. From a pack of
(i) a black queen
Ans. Total number of cards
Number of cards that are removed
The number of cards remains
Therefore, the total number of outcomes
The number of favourable outcomes
Thus, the probability of getting a black queen
(ii) a red card
Ans. The number of favourable outcomes
Thus, the probability of getting a red card is
(iii) a black jack
Ans. The number of favourable outcomes
Therefore, the probability of getting a black jack
(iv) a picture cards
Ans. The number of picture cards remains
Therefore, the probability of getting a picture card is
(v) a honourable card
Ans. The number of Honourable cards remains
Thus, the probability of getting a honourable card
The Probability Formula is Depicted as Follows
Probability of an event about to occur P(E) = Number of favourable outcomes/Total number of outcomes
Class 10 Maths Chapter 14 Extra Questions for Practise
Q. Which of the given experiments have equally likely outcomes? Explain.
(i) A driver tries to start a car. The car starts or may not start.
(ii) A player strives to shoot a football. He misses or shoots the football.
(iii) A trial is made to get a solution: a true-false question. The solution may be right or wrong.
(iv) A child is born. Whether it is a girl or a boy.
Solution:
(i) This statement doesn’t have a likely outcome, as the car may begin to operate or it may not.
(ii) This statement also doesn’t have a likely outcome as the player may shoot or miss the ball.
(iii) This statement has a likely outcome, as the solution has to be either right or wrong.
(iv) This statement has a likely outcome because the newborn child has to be a girl or a boy.
Q. Pull a random card from a pack of cards. What is the probability that the card pulled has a feminine face?
Solution:
A standard deck of cards has 52 cards.
Total number of outcomes = 52
Number of favorable events = 4 x 1 = 4 (considering Queen only)
Therefore Probability, P = Number of Favourable Outcomes/Total Number of Outcomes = 4/52= 1/13.
Q. If P(E) = 0.25, what is the probability of ‘not E’?
Solution:
We already know that
P(E) + P(not E) = 1
It is provided that, P(E) = 0.25
So, P(not E) = 1 – P(E)
P(not E) = 1 – 0.25
Hence, P(not E) = 0.75
Q. If 10 defective balls are accidentally mixed with 144 good ones. It is not possible to just look at a ball and tell whether or not it is defective. One ball is drawn out at random from this set of balls. Determine the probability that the ball pulled out is a good one.
Solution:
Numbers of balls = Numbers of defective balls + Numbers of good balls
∴ Total number of pens = 144 + 10 = 154 pens
P(E) = (Number of favourable results) / (Total number of results)
P(picking a good ball ) = 144/154 = 72/77 = 0.935
Q. One card is taken out from a well-shuffled deck of 52 cards. State the probability that the card will
(i) be a king,
(ii) not be a king.
Solution:
Well-shuffling of cards ensures fairly possible outcomes.
(i) Card drawn is a king
There are a total of four kings in a deck of cards.
Let A be the event ‘the card is a king’.
The number of outcomes favourable to A = n(A) = 4
The number of possible results = Total number of cards n(S) = 52
Hence, P(A) = n(A)/n(S) = 4/52 = 1/13
(ii) Card drawn is not a king
Let B be the event ‘card drawn is not a king’.
The number of outcomes favourable to the event B = n(B) = 52 – 4 = 48
Hence, P(B) = n(B)/n(S) = 48/52 = 12/13
Probability Important Questions Class 10- State the Different Types of Probability?
Here is the answer to probability class 10 most important questions. There are mainly three types of probability.
Theoretical Probability
Experimental Probability
Axiomatic Probability
Theoretical Probability
It depends on the possible chances of something that is about to occur. The theoretical probability concept originates from the reasoning behind probability. For example, if a dice is rolled, the theoretical probability of getting a sixer will be ⅙.
Experimental Probability
It depends on the basis of observation of an experiment. The experimental probability is generally calculated by the total number of possible outcomes by the total number of trials taken. For example, if a coin is tossed 10 times and out of that head comes 4 times, then the experimental probability of a head is 4/10 or ⅖.
Axiomatic Probability
A set of rules or axioms are established, which are applied to all types in an axiomatic probability. These axioms are set by Kolmogorov and are popularly called the Kolmogorov’s three axioms. In Kolmogorov's axiomatic approach to probability, the chances of non-occurrence and occurrence of an event can be quantified.
Explain Events and Outcomes in Probability Important Questions Class 10?
An outcome is a result obtained through a random experiment. For example, when we toss a coin, the tail is the outcome. An event refers to the set of outcomes. For example, when we roll a dice, the probability of getting a result less than four is an event. This is the answer to important questions of probability class 10.
What are Various Types of Events Based on Probability Class 10 Important Questions?
Here Are the Following Types of Events in Probability
Elementary Events
An event that has only one outcome of an event is referred to as an elementary event. For example: take a coin and toss it in the air for ‘n’ number of times. After the trial of this experiment, it will possibly have two outcomes- Heads and Tails. So, for any individual toss in a coin, the outcome has to be between the head and tail.
In elementary events, the sum of probabilities of all events in an experiment is one. For example- the tossing of a coin experiment P(Heads) + P (Tails)
= (1/2)+ (1/2) =1
Impossible Events
The event that has no chance of happening or occurring is termed as an impossible event, is called as an impossible event, i.e P(E)=0. For example, the probability of getting an eight on a dice is zero. This is because the number 8 can never appear on a dice.
Sure Event
The event where there is a 100% chance of occurrence or happening is termed as a sure event. The probability of occurrence in a sure event is one. For example, the probability of throwing a number less than 7 in dice is 1. So, P(E) = P(Obtaining a number less than 7) = 6/6= 1.
Complementary Event
In complementary events, there are only two outcomes of an event and these are the only two possible outcomes. A simple example is that of a coin where there are only two possible outcomes, the heads, and tails. P(E) + P (È) = 1, where E and È are two complementary events. The event È represents the complement of the event E.
What is Probability Density Function?
The probability density function is an important question of probability class 10. It is represented as a density of a continuous random variable that comes between a certain range of values. It explains the normal distribution and how the mean distribution occurs. The standard normal distribution helps create the statistics and database, which are applicable in science for representing the real-valued variable, whose distribution is unknown.
How Class 10 Probability Questions are Crucial for Preparation?
By referring to CBSE class 10 maths probability important questions, students can stay ahead of the competition.
They can practice important questions and recognize their mistakes.
Students can make notes and highlight the vital information based on these questions.
By solving the important questions, the students can revise the probability topic very well.
These crucial questions are also valuable to help solve their homework problems.
The questions will allow students to understand various sums given in this probability chapter.
Overall, these important questions serve as a resourceful study guide for the students.
Conclusion
Vedantu's CBSE Class 10 Maths Chapter 14 Probability: FREE PDF Download is a valuable resource for students preparing for their board exams. It provides a well-structured collection of important questions that cover all the key concepts, ensuring a thorough understanding of probability and its applications. By practising these questions, students can strengthen their problem-solving skills, boost confidence, and perform exceptionally well in their exams. Download the FREE PDF today and make your preparation for Chapter 14 effective.
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CBSE Class 10 Maths Chapter-wise Important Questions
CBSE Class 10 Maths Chapter-wise Important Questions and Answers include topics from all chapters. They help students prepare well by focusing on important areas, making revision easier.
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FAQs on CBSE Class 10 Maths Important Questions - Chapter 14 Probability
1. What is the main focus of CBSE Class 10 Maths Chapter 14 - Probability?
The main focus of CBSE Class 10 Maths Chapter 14 - Probability is to introduce theoretical probability, random experiments, outcomes, and the calculation of probabilities for single and complementary events.
2. Why is CBSE Class 10 Maths Chapter 14 - Probability important for exams?
CBSE Class 10 Maths Chapter 14 - Probability is essential as it helps students understand how to analyse random events and calculate their likelihood, a skill frequently tested in board exams.
3. How can Important Questions for CBSE Class 10 Maths Chapter 14 - Probability help in revision?
Important Questions for CBSE Class 10 Maths Chapter 14 - Probability focus on key topics, helping students practice problems that are commonly asked in exams and ensuring a thorough revision of the chapter.
4. What types of real-life examples are covered in CBSE Class 10 Maths Chapter 14 - Probability?
CBSE Class 10 Maths Chapter 14 - Probability includes real-life scenarios like tossing coins, rolling dice, selecting cards, and drawing objects from bags to explain random experiments and outcomes.
5. Do Important Questions for CBSE Class 10 Maths Chapter 14 - Probability cover all formulas?
Yes, Important Questions for CBSE Class 10 Maths Chapter 14 - Probability involve using basic probability formulas, including
6. How does CBSE Class 10 Maths Chapter 14 - Probability prepare students for higher studies?
CBSE Class 10 Maths Chapter 14 - Probability lays the foundation for advanced probability concepts taught in higher classes, making it a crucial chapter for academic progression.
7. Are there graphical representations in CBSE Class 10 Maths Chapter 14 - Probability?
No, CBSE Class 10 Maths Chapter 14 - Probability does not include graphical representations, focusing instead on numerical and theoretical probability problems.
8. What are complementary events, and are they included in CBSE Class 10 Maths Chapter 14 - Probability?
Complementary events are pairs of events where one occurs if and only if the other does not. These are an integral part of CBSE Class 10 Maths Chapter 14 - Probability and are covered in the important questions.
9. How can solving Important Questions for CBSE Class 10 Maths Chapter 14 - Probability improve problem-solving skills?
Solving Important Questions for CBSE Class 10 Maths Chapter 14 - Probability helps students enhance logical reasoning and mathematical accuracy, improving their ability to solve complex probability problems.
10. How does solving Important Questions for CBSE Class 10 Maths Chapter 14 - Probability improve exam preparation?
Practising Important Questions for CBSE Class 10 Maths Chapter 14 - Probability helps students strengthen their understanding of probability concepts, improve accuracy, and gain confidence to solve similar problems in exams.











