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NCERT Exemplar · Q52

Q.A die is thrown and a card is selected at random from a deck of 5252 playing cards. The probability of getting an even number on the die and a spade card is
(A) 12\dfrac{1}{2}
(B) 14\dfrac{1}{4}
(C) 18\dfrac{1}{8}
(D) 34\dfrac{3}{4}

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The problem asks for the probability of two independent events — an even number on a die and a spade card from a deck. Since the events are independent, we multiply their individual probabilities. The answer is 12×14=18\frac{1}{2} \times \frac{1}{4} = \frac{1}{8}, which corresponds to option (C).

The core idea here is conditional probability — but in its simplest form: independence. When two events do not influence each other, the probability that both occur is just the product of their separate probabilities. That’s exactly the situation when you throw a die and draw a card: the outcome of the die has no effect on which card you pick, and vice versa.

Let’s break it down.

  1. Probability of an even number on the die A standard die has six faces: 1,2,3,4,5,61, 2, 3, 4, 5, 6. The even numbers among these are 2,4,62, 4, 6 — that’s 3 outcomes. So

P(even)=36=12.P(\text{even}) = \frac{3}{6} = \frac{1}{2}.

  1. Probability of drawing a spade from a deck of 52 cards A standard deck has 4 suits (spades, hearts, diamonds, clubs), each with 13 cards. So there are 13 spades. Hence

P(spade)=1352=14.P(\text{spade}) = \frac{13}{52} = \frac{1}{4}.

  1. Since the die throw and card draw are independent, the probability that both happen is P(even and spade)=P(even)×P(spade)=12×14=18.P(\text{even and spade}) = P(\text{even}) \times P(\text{spade}) = \frac{1}{2} \times \frac{1}{4} = \frac{1}{8}. …

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