Page No: 308<\/strong><\/p>\nQuestion 1.
\n<\/strong>Complete the following statements:
\n(i) Probability of an event E + Probability of the event \u2018not E\u2019 = ___________ .
\n(ii) The probability of an event that cannot happen is __________. Such an event is called ________ .
\n(iii) The probability of an event that is certain to happen is _________ . Such an event is called _________ .
\n(iv) The sum of the probabilities of all the elementary events of an experiment is __________ .
\n(v) The probability of an event is greater than or equal to and less than or equal to __________ .<\/p>\nAnswer:
\n<\/strong>(i) 1
\n(ii) 0, impossible event
\n(iii) 1, sure or certain event.
\n(iv) 1
\n(v) 0, 1<\/p>\nQuestion 2.<\/strong>
\nWhich of the following experiments have equally likely outcomes? Explain.
\n(i) A driver attempts to start a car. The car starts or does not start.
\n(ii) A player attempts to shoot a basketball. She\/he shoots or misses the shot.
\n(iii) A trial is made to answer a true-false question. The answer is right or wrong.
\n(iv) A baby is born. It is a boy or a girl.<\/p>\nAnswer:
\n<\/strong>(i) It is not equally likely event as it depends on various factors and factors for both the conditions are not same.
\n(ii) It is not equally likely event, as it depends on the ability of a player.
\n(iii) It is an equally likely event.
\n(iv) It is an equally likely event.<\/p>\nQuestion 3.
\n<\/strong>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?<\/p>\nAnswer:
\n<\/strong>When a coin is tossed, there are only two possible equally likely outcomes. So, tossing of a coin considered to be a fair way of deciding which team should get the ball at the beginning of a football game.<\/p>\nQuestion 4.<\/strong>
\nWhich of the following cannot be the probability of an event?
\n(A) 2\/3 (B) -1.5 (C) 15% (D) 0.7<\/p>\nAnswer:
\n<\/strong>It is known that the probability of an event is always greater than or equal to 0\u00a0and it is always less than or equal to one. Hence, out of the given alternatives \u20141.5 can not be a probability of an event.<\/p>\nQuestion\u00a05.<\/strong>
\nIf P(E) = 0.05, what is the probability of \u2018not E\u2019?<\/p>\nAnswer:
\n<\/strong>P(E’) = 1 – P(E)
\n= 1 – 0.05
\n= 0.95
\nSo, the probability of ‘not E’ is 0.95.<\/p>\nQuestion 6.
\n<\/strong>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
\n(i) an orange flavoured candy?
\n(ii) a lemon flavoured candy?<\/p>\nAnswer:
\n<\/strong>(i) The bag contains lemon flavoured candies only. So, event that Malini will take out a orange flavoured candy, is an impossible event.
\n\u2234 P (an orange flavoured candy) = 0
\n(ii) The bag contains lemon flavoured candies only. So, the event that Malini will take out a lemon flavoured candy, is a sure event.
\n\u2234 P (a lemon flavoured candy) = 1<\/p>\nQuestion 7.<\/strong>
\nIt is given that in a group of 3 students, the probability of 2 students not having the same birthday is 0.992. What is the probability that the 2 students have the same birthday?<\/p>\nAnswer:
\n<\/strong>Probability that two students are not having same birthday = P(E) =\u00a00.992
\n\u2234 Probability that two students are having same birthday P(E’) = 1 – P(E)
\n= 1 –\u00a00.992
\n= 0.008<\/p>\nQuestion 8.<\/strong>
\nA bag contains 3 red balls and 5 black balls. A ball is drawn at random from the bag. What is the probability that the ball drawn is (i) red? (ii) not red?<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 9.<\/strong>
\nA box contains 5 red marbles, 8 white marbles and 4 green marbles. One marble is taken out of the box at random. What is the probability that the marble taken out will be (i) red ? (ii) white ? (iii) not green?<\/p>\nSolution:<\/strong>
\n<\/p>\nPage No: 309<\/strong><\/p>\nQuestion 10.<\/strong>
\nA piggy bank contains hundred 50p coins, fifty \u20b91 coins, twenty \u20b92 coins and ten \u20b95 coins. If it is equally likely that one of the coins will fall out when the bank is turned upside down, what is the probability that the coin (i) will be a 50 p coin ? (ii) will not be a \u20b95 coin?<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 11.<\/strong>
\nGopi buys a fish from a shop for his aquarium. The shopkeeper takes out one fish at random from a tank containing 5 male fish and 8 female fish (see Fig. 15.4). What is the probability that the fish taken out is a male fish?<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 12.<\/strong>
\nA game of chance consists of spinning an arrow which comes to rest pointing at one of the numbers 1, 2, 3, 4, 5, 6, 7, 8 (see Fig. 15.5), and these are equally likely outcomes. What is the probability that it will point at
\n(i) 8 ?
\n(ii) an odd number?
\n(iii) a number greater than 2?
\n(iv) a number less than 9?
\n<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 13.<\/strong>
\nA die is thrown once. Find the probability of getting
\n(i) a prime number; (ii) a number lying between 2 and 6; (iii) an odd number.<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 14.<\/strong>
\nOne card is drawn from a well-shuffled deck of 52 cards. Find the probability of getting
\n(i) a king of red colour (ii) a face card (iii) a red face card (iv) the jack of hearts (v) a spade (vi) the queen of diamonds<\/p>\nSolution:<\/strong>
\n
\n<\/p>\nQuestion 15.<\/strong>
\nFive cards the ten, jack, queen, king and ace of diamonds, are well-shuffled with their face downwards. One card is then picked up at random.
\n(i) What is the probability that the card is the queen?
\n(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?<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 16.<\/strong>
\n12 defective pens are accidentally mixed with 132 good ones. It is not possible to just look at a pen and tell whether or not it is defective. One pen is taken out at random from this lot. Determine the probability that the pen taken out is a good one.<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 17.<\/strong>
\n(i) A lot of 20 bulbs contain 4 defective ones. One bulb is drawn at random from the lot. What is the probability that this bulb is defective?
\n(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?<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 18.<\/strong>
\nA box contains 90 discs which are numbered from 1 to 90. If one disc is drawn at random from the box, find the probability that it bears (i) a two-digit number (ii) a perfect square number (iii) a number divisible by 5.<\/p>\nSolution:<\/strong>
\n<\/p>\nPage No: 310<\/strong><\/p>\nQuestion 19.<\/strong>
\nA child has a die whose six faces show the letters as given below:
\n
\nThe die is thrown once. What is the probability of getting (i) A? (ii) D?<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 20.
\n<\/strong>Suppose you drop a die at random on the rectangular region shown in Fig. 15.6. What is the probability that it will land inside the circle with diameter 1m?
\n
\nAnswer<\/strong>
\n<\/p>\nQuestion 21.<\/strong>
\nA lot consists of 144 ball pens of which 20 are defective and the others are good. Nuri will buy a pen if it is good, but will not buy if it is defective. The shopkeeper draws one pen at random and gives it to her. What is the probability that<\/p>\n(i) She will buy it?
\n(ii) She will not buy it?<\/p>\n
Solution:<\/strong>
\n<\/p>\nQuestion 22.
\n<\/strong>Refer to Example 13. (i) Complete the following table:
\n
\n(ii) A student argues that \u2018there are 11 possible outcomes 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12. Therefore, each of them has a probability 1\/11. Do you agree with this argument? Justify your answer.<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 23.<\/strong>
\nA game consists of tossing a one rupee coin 3 times and noting its outcome each time. Hanif wins if all the tosses give the same result i.e., three heads or three tails, and loses otherwise. Calculate the probability that Hanif will lose the game.<\/p>\nSolution:<\/strong>
\n<\/p>\nQuestion 24.<\/strong>
\nA die is thrown twice. What is the probability that
\n(i) 5 will not come up either time? (ii) 5 will come up at least once?
\n[Hint : Throwing a die twice and throwing two dice simultaneously are treated as the same experiment]<\/p>\nSolution:<\/strong>
\n<\/p>\nPage No: 311<\/strong><\/p>\nQuestion 25.<\/strong>
\nWhich of the following arguments are correct and which are not correct? Give reasons for your answer.
\n(i) If two coins are tossed simultaneously there are three possible outcomes\u2014two heads, two tails or one of each. Therefore, for each of these outcomes, the probability is 1\/3
\n(ii) If a die is thrown, there are two possible outcomes\u2014an odd number or an even number. Therefore, the probability of getting an odd number is 1\/2<\/p>\nSolution:<\/strong>
\n<\/p>\n <\/p>\n
We hope the NCERT Solutions for Class 10 Maths Chapter 15 Probability Ex 15.1 help you. If you have any query regarding NCERT Solutions for Class 10 Maths Chapter 15 Probability Ex 15.1, drop a comment below and we will get back to you at the earliest.<\/p>\n