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Probability: questions with answers

Class 10 Maths, Chapter 14 (NCERT). 15 questions by concept. Open “Show answer” for the answer and why.

How to teach this chapter · Common misconceptions & worked visual for this chapter

What a probability is, the values it can take, and the complement

Question 1

A bag has 11 red and 99 black balls. One ball is drawn at random. What is the probability that it is red?

  1. (a)99
  2. (b)910\dfrac{ 9 }{ 10 }
  3. (c)110\dfrac{ 1 }{ 10 }
  4. (d)19\dfrac{ 1 }{ 9 }
Show answer

(c) 110\dfrac{ 1 }{ 10 }

The bag has 1+9=101 + 9 = 10 balls in all, so there are 1010 equally likely outcomes. The favourable outcomes are the red ones, and the red balls number 11. So P(red)=110P(\text{red}) = \dfrac{ 1 }{ 10 }. Dividing by the 99 black balls instead of the total gives 19\dfrac{ 1 }{ 9 }. That compares red with black only, and forgets that red balls belong to the total too. 910\dfrac{ 9 }{ 10 } is the probability of drawing a black ball, not a red one. And 99 is only a count, not a probability.

Question 2

A bag contains 3030 balls, each red or blue. Each ball is equally likely to be drawn. The probability of drawing a red ball is 210\dfrac{ 2 }{10}. How many blue balls are in the bag?

  1. (a)2424
  2. (b)3030
  3. (c)3636
  4. (d)66
Show answer

(a) 2424

Every ball is either red or blue, so these events are complementary. Thus P(blue)=1−210=810P(\text{blue}) = 1 - \dfrac{ 2 }{10} = \dfrac{ 8 }{10}. Since each ball is equally likely to be drawn, number of blue balls30=810\dfrac{\text{number of blue balls}}{ 30 } = \dfrac{ 8 }{10}. Therefore, the number of blue balls is 30×810=2430 \times \dfrac{ 8 }{10} = 24. Adding the red probability to one incorrectly gives 3636 blue balls, more than the total. 66 is the number of red balls, and 3030 is the total number of balls.

Question 3

In a cricket match a player hit a boundary 1212 times in the 2727 balls he played. One of those balls is picked at random. What is the probability that he hit a boundary off it?

  1. (a)54\dfrac{ 5 }{ 4 }
  2. (b)49\dfrac{ 4 }{ 9 }
  3. (c)59\dfrac{ 5 }{ 9 }
  4. (d)45\dfrac{ 4 }{ 5 }
Show answer

(b) 49\dfrac{ 4 }{ 9 }

The possible outcomes are the 2727 balls he played, and 1212 of them were hit for a boundary, so the probability is 1227=49\dfrac{ 12 }{ 27 } = \dfrac{ 4 }{ 9 }. The denominator of a probability is always the total number of outcomes, not the number of unfavourable ones. 45\dfrac{ 4 }{ 5 } is the ratio of boundaries to other balls, so it is not a probability. Reversed, 54\dfrac{ 5 }{ 4 } is even greater than 11. 59\dfrac{ 5 }{ 9 } is the probability that he did NOT hit a boundary.

One card from a deck of fifty-two

Question 4

A heart is lost from a deck of 5252 playing cards. The rest are well shuffled and one card is drawn at random. What is the probability that it is a spade?

  1. (a)2651\dfrac{ 26 }{ 51 }
  2. (b)14\dfrac{ 1 }{ 4 }
  3. (c)1351\dfrac{ 13 }{ 51 }
  4. (d)3851\dfrac{ 38 }{ 51 }
Show answer

(c) 1351\dfrac{ 13 }{ 51 }

One card is missing, so the pack holds 52−1=5152 - 1 = 51 cards and those 5151 are the only possible outcomes. 1313 of them answer the description, so the probability is 1351\dfrac{ 13 }{ 51 }. Leaving the denominator at 5252 gives 14\dfrac{ 1 }{ 4 }, counting a card that is no longer there. 2651\dfrac{ 26 }{ 51 } comes from 2626 - a true count of the deck, but of a suit where a colour was meant, or of a colour where a suit was. 3851\dfrac{ 38 }{ 51 } is the probability of the opposite event.

Question 5

From a well-shuffled deck of 5252 playing cards, all the hearts are removed. One card is then drawn at random from the remaining cards. What is the probability that it is a black card?

  1. (a)23\dfrac{ 2 }{ 3 }
  2. (b)13\dfrac{ 1 }{ 3 }
  3. (c)12\dfrac{ 1 }{ 2 }
  4. (d)913\dfrac{ 9 }{ 13 }
Show answer

(a) 23\dfrac{ 2 }{ 3 }

Removing a whole suit takes 1313 cards away, so the pack in front of you holds 52−13=3952 - 13 = 39 cards - and those 3939 are the only possible outcomes. 2626 of them are a black card, so the probability is 2639=23\dfrac{ 26 }{39} = \dfrac{ 2 }{ 3 }. Leaving the denominator at 5252 gives 12\dfrac{ 1 }{ 2 }, which counts cards that are no longer in the pack. 13\dfrac{ 1 }{ 3 } is the probability that the card is not a black card, and 913\dfrac{ 9 }{ 13 } forgets that one card of that kind went with the suit.

Question 6

All the red face cards are removed from a well-shuffled deck of 5252 playing cards. One card is then drawn at random from the remaining cards. What is the probability that it is an ace?

  1. (a)223\dfrac{ 2 }{ 23 }
  2. (b)113\dfrac{ 1 }{ 13 }
  3. (c)122\dfrac{ 1 }{ 22 }
  4. (d)2123\dfrac{ 21 }{ 23 }
Show answer

(a) 223\dfrac{ 2 }{ 23 }

The face cards are the kings, queens and jacks - 1212 in the deck, 66 in each colour, 33 in each suit - and the aces are not among them. So the red face cards takes 66 cards away and leaves 4646, of which 44 are an ace: P=446=223P = \dfrac{ 4 }{ 46 } = \dfrac{ 2 }{ 23 }. Leaving the denominator at 5252 gives 113\dfrac{ 1 }{ 13 }, and counting the aces as face cards changes BOTH counts and gives 122\dfrac{ 1 }{ 22 }. 2123\dfrac{ 21 }{ 23 } is the probability of the opposite event.

One object drawn from a bag or a lot

Question 7

A lot of eggs contains 1616 bad ones and some good ones. The probability that an egg taken from the lot at random is bad is 25\dfrac{ 2 }{ 5 }. How many of the eggs in the lot are good?

  1. (a)4040
  2. (b)1616
  3. (c)2424
  4. (d)33
Show answer

(c) 2424

The 1616 bad eggs are 25\dfrac{ 2 }{ 5 } of the whole lot, so the lot holds 16×52=40\dfrac{ 16 \times 5 }{ 2 } = 40 eggs, and the good ones number 40−16=2440 - 16 = 24. Writing 16x=25\dfrac{ 16 }{x} = \dfrac{ 2 }{ 5 } with xx the number of GOOD eggs leaves the bad eggs out of the total. It returns 4040, the size of the whole lot, not of its good part. And 33 is only the numerator of 35\dfrac{ 3 }{ 5 }, the probability that an egg is good. A probability is a share of the whole, becoming a count only after multiplying by the total.

Question 8

A lot of 108108 ball pens contains 4848 bad ones and the rest are good. Nuri will buy a pen only if it is good. One pen is drawn at random and given to her. What is the probability that she buys it?

  1. (a)54\dfrac{ 5 }{ 4 }
  2. (b)49\dfrac{ 4 }{ 9 }
  3. (c)59\dfrac{ 5 }{ 9 }
  4. (d)6060
Show answer

(c) 59\dfrac{ 5 }{ 9 }

The pen is drawn from the whole lot, so there are 108108 equally likely outcomes, and 108−48=60108 - 48 = 60 of the pens are good: P=60108=59P = \dfrac{ 60 }{ 108 } = \dfrac{ 5 }{ 9 }. Dividing the good pens by the bad ones gives 54\dfrac{ 5 }{ 4 }. This leaves the good pens out of the denominator, and the denominator of a probability is always ALL the outcomes. 49\dfrac{ 4 }{ 9 } is the probability that she does not buy it, and 6060 is a count of pens, not a probability.

Question 9

A carton holds 105105 balls, blue and yellow in the ratio 2:52 : 5. How many of them are blue?

  1. (a)4242
  2. (b)3030
  3. (c)7575
  4. (d)105105
Show answer

(b) 3030

The ratio splits the carton into 2+5=72 + 5 = 7 equal parts, so one part is 1057=15\dfrac{ 105 }{ 7 } = 15 balls and the blue balls are 22 parts: 2×15=302 \times 15 = 30. Taking 25\dfrac{ 2 }{ 5 } of the carton instead gives 4242, using the ratio as though it were the share. This compares the blue balls to the yellow balls, not to the whole carton. 7575 is the number of yellow balls, and 105105 is the whole carton.

One throw of a die, or one number chosen from a list

Question 10

A fair die is thrown once. What is the probability of getting a prime number?

  1. (a)13\dfrac{1}{3}
  2. (b)33
  3. (c)12\dfrac{1}{2}
  4. (d)23\dfrac{2}{3}
Show answer

(c) 12\dfrac{1}{2}

The die has 66 equally likely faces, 11 to 66. The primes among them are 22, 33 and 55; the composites are 44 and 66; and 11 is neither, because a prime has exactly two distinct factors while 11 has only one. So a prime number is shown by 33 of the 66 faces, and the probability is 36=12\dfrac{ 3 }{6} = \dfrac{1}{2}. Counting 11 in with the primes makes it 44 faces and gives 23\dfrac{2}{3} instead. And 33 on its own is the COUNT of favourable faces: a probability has still to be divided by the 66 possible outcomes.

Question 11

A box contains cards numbered from 33 to 2020, one number to a card. One card is drawn at random. What is the probability that the number on it is a multiple of 33?

  1. (a)14\dfrac{1}{ 4 }
  2. (b)617\dfrac{ 6 }{ 17 }
  3. (c)13\dfrac{1}{ 3 }
  4. (d)66
Show answer

(c) 13\dfrac{1}{ 3 }

Counting both end numbers, the box holds 20−3+1=1820 - 3 + 1 = 18 cards. Of these, 66 have numbers that are multiples of 33. Each card is equally likely to be drawn, so the probability is 618=13\dfrac{ 6 }{ 18 } = \dfrac{1}{ 3 }. Using 20−3=1720 - 3 = 17 as the total leaves out one card. The number 66 alone counts favourable outcomes; it is not the probability. The simplified probability has denominator 33, not 44.

Question 12

A box contains cards bearing every whole number from 44 to 4040, one number to a card. How many cards are there in the box?

  1. (a)3636
  2. (b)3737
  3. (c)4040
  4. (d)4141
Show answer

(b) 3737

A run of whole numbers from 44 to 4040, counting both ends, holds 40−4+1=3740 - 4 + 1 = 37 numbers. Subtracting the two numbers gives 3636, which counts the gaps between the cards rather than the cards - it is short by exactly one. 4040 would be the answer only if the numbering started at 11, and 4141 counts one card too many, one place past the last card.

Two coins, two dice, and writing down the whole sample space

Question 13

Two dice are thrown together. What is the probability of getting the same number on both dice?

  1. (a)27\dfrac{ 2 }{ 7 }
  2. (b)66
  3. (c)16\dfrac{ 1 }{ 6 }
  4. (d)56\dfrac{ 5 }{ 6 }
Show answer

(c) 16\dfrac{ 1 }{ 6 }

The 6×66 \times 6 table holds 3636 ordered outcomes. Six outcomes show the same number on both dice. The other 3030 outcomes show different numbers, split evenly between a first number that is greater and one that is smaller. Here the same number on both dice covers 66 outcomes, so P=636=16P = \dfrac{ 6 }{36} = \dfrac{ 1 }{ 6 }. Treating a pair and its reverse as one outcome shrinks the table to 2121 entries and gives 27\dfrac{ 2 }{ 7 } instead. But the two dice can be told apart, so (2,5)(2, 5) and (5,2)(5, 2) are two separate outcomes. 56\dfrac{ 5 }{ 6 } is the probability of the opposite event.

Question 14

Two dice are thrown together. What is the probability that the sum of the numbers on the two upper faces is equal to 1515?

  1. (a)00
  2. (b)16\dfrac{1}{6}
  3. (c)136\dfrac{1}{36}
  4. (d)11
Show answer

(a) 00

The smallest sum two dice can show is 1+1=21 + 1 = 2 and the largest is 6+6=126 + 6 = 12, so no entry in the 6×66 \times 6 table gives a sum equal to 1515. The event is favoured by NO outcome, which makes it impossible: P=036=0P = \dfrac{0}{36} = 0. It is not a small fraction with 3636 underneath - 136\dfrac{1}{36} would mean one of the thirty-six outcomes does give it, and none does. And 11 is the value of a CERTAIN event, the opposite extreme.

Question 15

Two dice are thrown together. What is the probability that the sum of the numbers on the two upper faces is at least 22?

  1. (a)712\dfrac{7}{12}
  2. (b)00
  3. (c)11
  4. (d)3536\dfrac{35}{36}
Show answer

(c) 11

The sums two dice can show run from 1+1=21 + 1 = 2 to 6+6=126 + 6 = 12, so EVERY one of the 6×6=366 \times 6 = 36 outcomes has a sum at least 22. The event is favoured by all of them, which makes it certain: P=3636=1P = \dfrac{36}{36} = 1. 3536\dfrac{35}{36} would wrongly mean one outcome escapes, but none does. 712\dfrac{7}{12} is 2136\dfrac{21}{36}, left over only if a pair and its reverse are wrongly counted as one outcome. 00 is the value of an IMPOSSIBLE event, not a certain one.

Common misconception in Probability

Open full misconception guide →

Does a losing streak change the next fair toss?

Wrong

After three tails, heads is more likely on the next toss.

Why it feels right. I expect the short run to balance out.

Right

Independent fair tosses keep the same probabilities.

Worked example

Next toss · heads
TTT→H · 1/2
Next toss · tails
TTT→T · 1/2
After TTT, each next outcome still has the same probability for a fair coin.
  1. After TTT, the next toss still has two equally likely results.
  2. The probability of heads is ½.