Counting does more than tell you how many outcomes exist. It also tells you how likely each one is. Flip a coin a million times and heads comes up about half the time, and that steady fraction is what we call probability.
Problem
A fair 6-sided die is rolled once. What is the probability of rolling a \(3\)? Give your answer as a fraction in lowest terms.
Show a hint
- Every roll lands on one of the faces \(1, 2, 3, 4, 5, 6\), and since the die is fair they are all equally likely. How many faces are there in all? That total goes on the bottom of your fraction.
- Now look for the rolls that count as a win. You want to land on a \(3\), so ask how many of the six faces show a \(3\). That favorable count goes on the top of your fraction.
- You have \(1\) favorable face out of \(6\) equally likely faces, so write that as a fraction and check it is already in lowest terms.
Show the full solution
A fair die has \(6\) faces and exactly one of them shows a \(3\), so \(1\) of the \(6\) equally likely outcomes is favorable. The probability is \(\boxed{\frac{1}{6}}\). Favorable over total only works because the faces are equally likely, which is what fair means.
Problem
A fair 6-sided die is rolled once. What is the probability of rolling an odd number? Give your answer as a fraction in lowest terms.
Show a hint
- Start by listing the equally likely outcomes. A fair die can land on \(1, 2, 3, 4, 5,\) or \(6\), so how many faces are there in all?
- Now look at which of those faces count as a win. The odd numbers are \(1, 3, 5\), so how many of the \(6\) faces are favorable?
- You have \(3\) favorable faces out of \(6\) total, which gives \(\frac{3}{6}\). All that is left is to write that fraction in lowest terms.
Show the full solution
The odd faces are \(1, 3, 5\), so \(3\) of the \(6\) equally likely faces are favorable. That gives \(\frac{3}{6} = \boxed{\frac{1}{2}}\). A probability of \(\frac{1}{2}\) is an even chance, so odd and even are equally likely on a die.
Problem
A fair 6-sided die is rolled once. What is the probability of rolling a \(7\)? Answer with \(0\) or \(1\) if certain or impossible.
Show a hint
- First settle what is equally likely. A fair die has faces numbered \(1, 2, 3, 4, 5, 6\), and every one of those faces is equally likely to land up, so there are \(6\) equally likely outcomes in all. That \(6\) is your total count for the bottom of the fraction.
- Now look for the favorable outcomes, the ones where the die shows a \(7\). Go through the faces \(1, 2, 3, 4, 5, 6\) and check whether any of them is a \(7\). How many of the \(6\) faces actually show a \(7\)?
- None of the faces is a \(7\), so the favorable count is \(0\). Put that favorable count over the total of \(6\) and simplify \(\frac{0}{6}\).
Show the full solution
A fair die shows \(1, 2, 3, 4, 5, 6\), and none of those \(6\) faces is a \(7\). The favorable count is \(0\), so the probability is \(\frac{0}{6} = \boxed{0}\). An event that cannot happen sits at \(0\), the far left end of the probability scale.
Problem
An 8-sided die has \(2\) red, \(5\) yellow, and \(1\) blue side, all equally likely. What is the probability of rolling yellow?
Show a hint
- Probability is really a counting question. The equally likely outcomes are the sides of the die, not the colors, so first ask how many sides there are in all. There are \(8\) of them.
- Now count only the outcomes you are hoping for. A roll counts as a win when the side that lands up is yellow, and there are \(5\) yellow sides, so \(5\) of the \(8\) sides are favorable.
- Put the favorable count over the total count, which gives \(\frac{5}{8}\). Check whether that fraction can be made any simpler.
Show the full solution
The die has \(8\) sides and \(5\) of them are yellow, so \(5\) of the \(8\) equally likely outcomes are favorable, giving \(\boxed{\frac{5}{8}}\). Count the sides, not the colors. There are only three colors but eight equally likely sides, and the sides are what carry equal chances.
Problem
A shuffled 52-card deck is drawn from the top. What is the probability the top card is a spade? Give your answer in lowest terms.
Show a hint
- Every card on top is equally likely, so the total number of equally likely outcomes is just the number of cards in the whole deck, which is \(52\).
- Now count the favorable outcomes, the ones you are rooting for. A spade is what counts here, and there are \(13\) spades in the deck.
- Put the favorable count over the total count to get \(\frac{13}{52}\), then simplify that fraction all the way down.
Show the full solution
A shuffled deck puts any of the \(52\) cards on top with the same chance, and \(13\) of them are spades. That gives \(\frac{13}{52} = \boxed{\frac{1}{4}}\). It matches what you would expect, since spades are one of four equal suits and take up a quarter of the deck.
Problem
A shuffled 52-card deck is drawn from the top. What is the probability the top card is a face card (Jack, Queen, or King)? Give your answer in lowest terms.
Show a hint
- Every card in the shuffled deck is equally likely to land on top, so the total number of equally likely outcomes is just the number of cards in the deck, which is \(52\).
- Now count the favorable cards, the ones that make the top card a face card. A face card is a Jack, a Queen, or a King, so there are \(3\) face ranks, and each rank shows up once in every suit. Count how many face cards there are in the whole deck.
- There are \(3\) face ranks in each of \(4\) suits, so \(3 \times 4 = 12\) favorable cards out of \(52\) total. All that is left is to write \(\frac{12}{52}\) and reduce it to lowest terms.
Show the full solution
A face card is a Jack, a Queen, or a King, so there are \(3\) face ranks in each of the \(4\) suits, which is \(3 \times 4 = 12\) face cards. Every one of the \(52\) cards is equally likely on top, so the probability is \(\frac{12}{52}\), and dividing top and bottom by \(4\) gives \(\boxed{\frac{3}{13}}\).
Problem
Two fair 6-sided dice are rolled. What is the probability the sum is \(6\)? Give your answer in lowest terms.
Show a hint
- Start by counting the total. Each die can land \(6\) ways, and the two dice are separate, so the multiplication principle gives \(6 \times 6 = 36\) equally likely pairs to choose from.
- Now hunt for the favorable pairs, the ones whose two numbers add up to \(6\). Go through the first die in order, \(1\) then \(2\) and so on, and ask what the other die must be each time. List them all so you do not miss any.
- The pairs that work are \((1,5), (2,4), (3,3), (4,2), (5,1)\), so count how many that is and put it over \(36\).
Show the full solution
Each die has \(6\) faces, so there are \(6 \times 6 = 36\) equally likely pairs. The pairs that add to \(6\) are \((1,5), (2,4), (3,3), (4,2), (5,1)\), which is \(5\) of them, so the probability is \(\boxed{\frac{5}{36}}\). Order matters here, so \((1,5)\) and \((5,1)\) are two different rolls while \((3,3)\) happens only one way.
Problem
Four fair coins are flipped. What is the probability all four come up heads? Give your answer in lowest terms.
Show a hint
- Think about one coin first. Each flip can land heads or tails, so every coin has \(2\) equally likely results. With four coins flipped together, the total number of equally likely outcomes is \(2 \times 2 \times 2 \times 2 = 2^4 = 16\).
- Now count the favorable outcomes. Only one of those \(16\) outcomes has all four coins showing heads, the one where the penny, nickel, dime, and quarter are all heads. So there is just \(1\) favorable outcome.
- You can also see this by multiplying the chances. Each coin shows heads with probability \(\frac{1}{2}\), and the flips do not affect each other, so multiply \(\frac{1}{2} \times \frac{1}{2} \times \frac{1}{2} \times \frac{1}{2}\). What does that give?
Show the full solution
Each coin has \(2\) results, so four coins give \(2 \times 2 \times 2 \times 2 = 16\) equally likely outcomes, and only \(1\) of them is all heads. The probability is \(\boxed{\frac{1}{16}}\). Multiplying the separate chances gives the same thing, since \(\frac{1}{2} \times \frac{1}{2} \times \frac{1}{2} \times \frac{1}{2} = \frac{1}{16}\).
Problem
A shuffled 52-card deck has 26 red cards. Two cards are drawn without replacement. What is the probability both are red? Give your answer in lowest terms.
Show a hint
- This happens in two stages, the first card and then the second card, so think about each pick on its own. For the first card, every one of the \(52\) cards is equally likely to be on top, and \(26\) of those are red. So what is the chance the first card is red?
- The drawing happens without putting the first card back, so the second pick has one fewer card to choose from. Once a red card is already on top, only \(51\) cards remain and only \(25\) of them are still red. Find the chance the second card is red given that, then remember that to get both stages to happen you multiply the two chances.
- You have the first card red with probability \(\frac{26}{52} = \frac{1}{2}\) and the second red with probability \(\frac{25}{51}\). All that is left is to multiply \(\frac{1}{2} \times \frac{25}{51}\).
Show the full solution
The first card is red with probability \(\frac{26}{52} = \frac{1}{2}\). That card is not put back, so only \(51\) cards remain and only \(25\) of them are red, giving \(\frac{25}{51}\) for the second. Both stages have to happen, so multiply them, $$\frac{1}{2} \times \frac{25}{51} = \boxed{\frac{25}{102}}.$$ Without replacement both counts drop after the first draw, so the second fraction is never a copy of the first.
Problem
Two fair 6-sided dice are rolled and their values multiplied. What is the probability the product is a multiple of \(5\)? Give your answer in lowest terms.
Show a hint
- Start with the whole picture. The red die has \(6\) equally likely faces and the blue die has \(6\), so by the multiplication principle there are \(6 \times 6 = 36\) equally likely pairs in all. Every answer will be some count of these pairs over \(36\).
- Here is the key observation. On a single die the only multiple of \(5\) is the number \(5\) itself, so a product is a multiple of \(5\) exactly when at least one die shows a \(5\). Chasing every winning pair is messy, so flip it around and count the opposite instead, no five at all, then subtract from \(1\).
- No five on the red die has probability \(\frac{5}{6}\), and the same for the blue die, so no five anywhere is \(\frac{5}{6} \times \frac{5}{6} = \frac{25}{36}\). Now just take \(1 - \frac{25}{36}\).
Show the full solution
There are \(6 \times 6 = 36\) equally likely pairs. The only multiple of \(5\) on a die is \(5\) itself, so the product is a multiple of \(5\) exactly when at least one die shows a \(5\). Counting the opposite is faster. One die avoids a five with probability \(\frac{5}{6}\), so neither die shows a five with probability \(\frac{5}{6} \times \frac{5}{6} = \frac{25}{36}\), and subtracting gives $$1 - \frac{25}{36} = \boxed{\frac{11}{36}}.$$ At-least-one questions are usually easier from the complement, since no fives at all is one clean case.
Problem
A shuffled 52-card deck has 26 black and 26 red cards. Two cards are drawn without replacement. What is the probability the first is black and the second is red? Give your answer in lowest terms.
Show a hint
- Think about this in two stages, one card at a time. For the first card off the top, every one of the \(52\) cards is equally likely to be on top, so that is your total to start with. How many of those \(52\) cards are the color you want, which is black?
- There are \(26\) black cards out of \(52\), so the first card is black with probability \(\frac{26}{52} = \frac{1}{2}\). Now move to the second card. One card is already gone, so only \(51\) cards are left. How many of those leftover cards are red, and what fraction does that give for the second stage?
- Stage one gives \(\frac{1}{2}\), and stage two gives \(\frac{26}{51}\) since all \(26\) red cards are still in the deck among the \(51\) that remain. The only thing left is to multiply these two stage probabilities together and write the result in lowest terms.
Show the full solution
The first card is black with probability \(\frac{26}{52} = \frac{1}{2}\). One card is gone, so \(51\) remain, and all \(26\) red cards are still there, which gives \(\frac{26}{51}\). Multiplying the two stages, $$\frac{1}{2} \times \frac{26}{51} = \frac{26}{102} = \boxed{\frac{13}{51}}.$$ Only the black count dropped, because the card removed was black, so the red count stayed at \(26\).
Problem
Two fair 8-sided dice are rolled and multiplied. What is the probability the product is greater than \(36\)? Give your answer in lowest terms.
Show a hint
- Start with the playing field. Each die can land on any of \(8\) faces, and the multiplication principle says the first die has \(8\) choices and the second has \(8\) choices, so the total number of equally likely ordered outcomes is \(8 \times 8 = 64\). Picture them as a \(8\) by \(8\) grid of cells, and now you just need to count the cells where the product beats \(36\).
- Now hunt for the favorable cells, the ones where the two numbers multiply to more than \(36\). Only the bigger numbers can do it. Try fixing the larger die at \(8\), then at \(7\), then at \(6\), then at \(5\), and for each one ask which partners push the product over \(36\). Remember that order matters here, so \((6,7)\) and \((7,6)\) are two different cells.
- Carefully listing them gives \((5,8),(6,7),(6,8),(7,6),(7,7),(7,8),(8,5),(8,6),(8,7),(8,8)\), which is \(10\) favorable cells out of \(64\) total. All that is left is to write \(\frac{10}{64}\) and reduce it to lowest terms by dividing the top and bottom by \(2\).
Show the full solution
Each die has \(8\) faces, so there are \(8 \times 8 = 64\) equally likely ordered pairs. The ones whose product is greater than \(36\) are \((5,8),(6,7),(6,8),(7,6),(7,7),(7,8),(8,5),(8,6),(8,7),(8,8)\), which is \(10\) of them, so the probability is \(\frac{10}{64} = \boxed{\frac{5}{32}}\). Work down from the largest face and find its partners, and keep order in mind so \((6,7)\) and \((7,6)\) both get counted.
Practice these ideas
Practice
An 8-sided die has \(2\) red, \(5\) yellow, and \(1\) blue side, all equally likely. What is the probability of rolling blue?
Show the solution
The die has \(8\) equally likely sides and \(1\) of them is blue, so the probability is \(\boxed{\frac{1}{8}}\). The equally likely outcomes are the sides, not the three colors.
Practice
A fair 6-sided die is rolled. What is the probability of rolling \(4\) or less? Give your answer in lowest terms.
Show the solution
The faces that are \(4\) or less are \(1, 2, 3, 4\), so \(4\) of the \(6\) equally likely faces are favorable. That gives \(\frac{4}{6} = \boxed{\frac{2}{3}}\).
Practice
A fair 6-sided die is rolled. What is the probability of NOT rolling a \(1\)? Give your answer in lowest terms.
Show the solution
The faces that are not a \(1\) are \(2, 3, 4, 5, 6\), which is \(5\) of the \(6\) equally likely faces, so the probability is \(\boxed{\frac{5}{6}}\). The complement gets there too, since one face is a \(1\) and \(1 - \frac{1}{6} = \frac{5}{6}\).
Practice
A shuffled 52-card deck is drawn from the top. What is the probability the top card is a \(10\) or a Jack? Give your answer in lowest terms.
Show the solution
There are \(4\) tens and \(4\) jacks, and no card is both, so \(8\) of the \(52\) equally likely cards are favorable. That gives \(\frac{8}{52} = \boxed{\frac{2}{13}}\). Adding the two counts is only safe because the groups do not overlap.
Practice
Two fair 6-sided dice are rolled. What is the probability the sum is \(4\)? Give your answer in lowest terms.
Show the solution
There are \(6 \times 6 = 36\) equally likely ordered pairs. The ones that add to \(4\) are \((1,3),(2,2),(3,1)\), which is \(3\), so the probability is \(\frac{3}{36} = \boxed{\frac{1}{12}}\). Count ordered pairs, since \((1,3)\) and \((3,1)\) are separate rolls while \((2,2)\) happens only one way.
Practice
Two fair 6-sided dice are rolled. What is the probability the sum is \(11\)? Give your answer in lowest terms.
Show the solution
There are \(6 \times 6 = 36\) equally likely ordered pairs, and the only ones that add to \(11\) are \((5,6)\) and \((6,5)\). Two favorable out of \(36\) gives \(\frac{2}{36} = \boxed{\frac{1}{18}}\).
Practice
Two fair 6-sided dice are rolled. What is the probability the sum is \(2\)? Give your answer in lowest terms.
Show the solution
There are \(6 \times 6 = 36\) equally likely ordered pairs. Each die shows at least a \(1\), so \((1,1)\) is the only way to total \(2\), and the probability is \(\boxed{\frac{1}{36}}\). A sum at the edge of the range can happen just one way, which is why \(2\) and \(12\) are the rarest totals.
Practice
A shuffled 52-card deck has 13 spades. Two cards are drawn without replacement. What is the probability both are spades? Give your answer in lowest terms.
Show the solution
The first card is a spade with probability \(\frac{13}{52} = \frac{1}{4}\). That spade is gone, so \(12\) spades remain among \(51\) cards, giving \(\frac{12}{51}\). Multiplying the two stages, $$\frac{1}{4} \times \frac{12}{51} = \frac{12}{204} = \boxed{\frac{1}{17}}.$$ Both counts drop after the first draw, so the second fraction is never a repeat of the first.
Practice
A shuffled 52-card deck has 4 aces. Two cards are drawn without replacement. What is the probability both are aces? Give your answer in lowest terms.
Show the solution
The first card is an ace with probability \(\frac{4}{52} = \frac{1}{13}\). One ace is gone, so \(3\) aces remain among \(51\) cards, giving \(\frac{3}{51}\). Multiplying the two stages, $$\frac{1}{13} \times \frac{3}{51} = \frac{3}{663} = \boxed{\frac{1}{221}}.$$
Practice
A shuffled 52-card deck has 12 face cards. Two cards are drawn without replacement. What is the probability both are face cards? Give your answer in lowest terms.
Show the solution
The first card is a face card with probability \(\frac{12}{52} = \frac{3}{13}\). That card is set aside, so \(11\) face cards remain among \(51\) cards, giving \(\frac{11}{51}\). Multiplying the two stages, $$\frac{3}{13} \times \frac{11}{51} = \frac{33}{663} = \boxed{\frac{11}{221}}.$$
Practice
Four fair coins are flipped. What is the probability at least one comes up heads? Give your answer in lowest terms.
Show the solution
Four coins give \(2 \times 2 \times 2 \times 2 = 16\) equally likely outcomes, and only one of them, TTTT, has no heads at all. So the probability of at least one head is \(1 - \frac{1}{16} = \boxed{\frac{15}{16}}\). Counting head on would mean handling one head, two heads, three heads, and four heads, while the complement is a single outcome.
Practice
Four fair coins are flipped. What is the probability exactly two come up heads? Give your answer in lowest terms.
Show the solution
Four coins give \(2^4 = 16\) equally likely outcomes. Exactly two heads means choosing which \(2\) of the \(4\) coins are the heads, and each coin pairs with the other \(3\) while every pair gets counted twice, so there are \(\frac{4 \times 3}{2} = 6\) ways. That gives \(\frac{6}{16} = \boxed{\frac{3}{8}}\).
Practice
Two fair 6-sided dice are rolled. What is the probability the product of the two numbers is even? Give your answer in lowest terms.
Show the solution
A product is odd only when both numbers are odd. Each die is odd with probability \(\frac{3}{6}\), so both dice odd is \(\frac{3}{6} \times \frac{3}{6} = \frac{1}{4}\), and even is everything left over, $$1 - \frac{1}{4} = \boxed{\frac{3}{4}}.$$ One even factor is enough to make the whole product even, so the odd case is the small one worth counting.
Practice
A bag holds \(4\) red, \(3\) blue, and \(5\) green marbles. One is drawn at random. What is the probability it is green?
Show the solution
The bag holds \(4 + 3 + 5 = 12\) marbles and \(5\) of them are green, so the probability is \(\boxed{\frac{5}{12}}\).
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