What a probability is, the values it can take, and the complement
Question 1
A bag has red and black balls. One ball is drawn at random. What is the probability that it is red?
(a)
(b)
(c)
(d)
Show answer
(c)
The bag has balls in all, so there are equally likely outcomes. The favourable outcomes are the red ones, and the red balls number . So . Dividing by the black balls instead of the total gives . That compares red with black only, and forgets that red balls belong to the total too. is the probability of drawing a black ball, not a red one. And is only a count, not a probability.
Question 2
A bag contains balls, each red or blue. Each ball is equally likely to be drawn. The probability of drawing a red ball is . How many blue balls are in the bag?
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(b)
(c)
(d)
Show answer
(a)
Every ball is either red or blue, so these events are complementary. Thus . Since each ball is equally likely to be drawn, . Therefore, the number of blue balls is . Adding the red probability to one incorrectly gives blue balls, more than the total. is the number of red balls, and is the total number of balls.
Question 3
In a cricket match a player hit a boundary times in the balls he played. One of those balls is picked at random. What is the probability that he hit a boundary off it?
(a)
(b)
(c)
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(b)
The possible outcomes are the balls he played, and of them were hit for a boundary, so the probability is . The denominator of a probability is always the total number of outcomes, not the number of unfavourable ones. is the ratio of boundaries to other balls, so it is not a probability. Reversed, is even greater than . 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 playing cards. The rest are well shuffled and one card is drawn at random. What is the probability that it is a spade?
(a)
(b)
(c)
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(c)
One card is missing, so the pack holds cards and those are the only possible outcomes. of them answer the description, so the probability is . Leaving the denominator at gives , counting a card that is no longer there. comes from - a true count of the deck, but of a suit where a colour was meant, or of a colour where a suit was. is the probability of the opposite event.
Question 5
From a well-shuffled deck of 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?
(a)
(b)
(c)
(d)
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(a)
Removing a whole suit takes cards away, so the pack in front of you holds cards - and those are the only possible outcomes. of them are a black card, so the probability is . Leaving the denominator at gives , which counts cards that are no longer in the pack. is the probability that the card is not a black card, and 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 playing cards. One card is then drawn at random from the remaining cards. What is the probability that it is an ace?
(a)
(b)
(c)
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Show answer
(a)
The face cards are the kings, queens and jacks - in the deck, in each colour, in each suit - and the aces are not among them. So the red face cards takes cards away and leaves , of which are an ace: . Leaving the denominator at gives , and counting the aces as face cards changes BOTH counts and gives . is the probability of the opposite event.
One object drawn from a bag or a lot
Question 7
A lot of eggs contains bad ones and some good ones. The probability that an egg taken from the lot at random is bad is . How many of the eggs in the lot are good?
(a)
(b)
(c)
(d)
Show answer
(c)
The bad eggs are of the whole lot, so the lot holds eggs, and the good ones number . Writing with the number of GOOD eggs leaves the bad eggs out of the total. It returns , the size of the whole lot, not of its good part. And is only the numerator of , 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 ball pens contains 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?
(a)
(b)
(c)
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Show answer
(c)
The pen is drawn from the whole lot, so there are equally likely outcomes, and of the pens are good: . Dividing the good pens by the bad ones gives . This leaves the good pens out of the denominator, and the denominator of a probability is always ALL the outcomes. is the probability that she does not buy it, and is a count of pens, not a probability.
Question 9
A carton holds balls, blue and yellow in the ratio . How many of them are blue?
(a)
(b)
(c)
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(b)
The ratio splits the carton into equal parts, so one part is balls and the blue balls are parts: . Taking of the carton instead gives , using the ratio as though it were the share. This compares the blue balls to the yellow balls, not to the whole carton. is the number of yellow balls, and 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?
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(b)
(c)
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(c)
The die has equally likely faces, to . The primes among them are , and ; the composites are and ; and is neither, because a prime has exactly two distinct factors while has only one. So a prime number is shown by of the faces, and the probability is . Counting in with the primes makes it faces and gives instead. And on its own is the COUNT of favourable faces: a probability has still to be divided by the possible outcomes.
Question 11
A box contains cards numbered from to , one number to a card. One card is drawn at random. What is the probability that the number on it is a multiple of ?
(a)
(b)
(c)
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Show answer
(c)
Counting both end numbers, the box holds cards. Of these, have numbers that are multiples of . Each card is equally likely to be drawn, so the probability is . Using as the total leaves out one card. The number alone counts favourable outcomes; it is not the probability. The simplified probability has denominator , not .
Question 12
A box contains cards bearing every whole number from to , one number to a card. How many cards are there in the box?
(a)
(b)
(c)
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Show answer
(b)
A run of whole numbers from to , counting both ends, holds numbers. Subtracting the two numbers gives , which counts the gaps between the cards rather than the cards - it is short by exactly one. would be the answer only if the numbering started at , and 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?
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(b)
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Show answer
(c)
The table holds ordered outcomes. Six outcomes show the same number on both dice. The other 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 outcomes, so . Treating a pair and its reverse as one outcome shrinks the table to entries and gives instead. But the two dice can be told apart, so and are two separate outcomes. 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 ?
(a)
(b)
(c)
(d)
Show answer
(a)
The smallest sum two dice can show is and the largest is , so no entry in the table gives a sum equal to . The event is favoured by NO outcome, which makes it impossible: . It is not a small fraction with underneath - would mean one of the thirty-six outcomes does give it, and none does. And 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 ?
(a)
(b)
(c)
(d)
Show answer
(c)
The sums two dice can show run from to , so EVERY one of the outcomes has a sum at least . The event is favoured by all of them, which makes it certain: . would wrongly mean one outcome escapes, but none does. is , left over only if a pair and its reverse are wrongly counted as one outcome. is the value of an IMPOSSIBLE event, not a certain one.
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.
After TTT, the next toss still has two equally likely results.
The probability of heads is ½.
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