How to use these solutions
These are step-by-step worked solutions to the Practice questions of the lesson Sample Spaces, Events and the Axioms. Attempt each question on your own first, then compare your working with every step here. One habit will save you many mistakes: always write down the sample space before you count anything in it.
Question 1: Writing sample spaces
The problem
Write the sample space for each experiment:
(a) a coin tossed three times;
(b) a die rolled twice (how many points?);
(c) a family's two children, by sex, older child first.
Understanding the problem
The sample space is the list of all possible outcomes of the experiment, with nothing repeated and nothing missing. In each part the order matters: the first toss is different from the second, and the older child is written first.
The idea
Build each outcome stage by stage. If the first stage has possible results and the second has , there are combined outcomes. List them in a system (for example alphabetical) so none is missed.
Step-by-step solution
Part (a)
Step 1. Each toss gives H (head) or T (tail): choices per toss.
Step 2. Three tosses give outcomes. Write them in order, the first letter for the first toss:
Part (b)
Step 1. Record an outcome as an ordered pair , where is the first roll and the second. Each of and can be .
Step 2. Count: choices for and for .
Note that and are different outcomes, because the rolls are in order.
Part (c)
Step 1. Write B for boy and G for girl; the first letter is the older child.
Step 2. Each child is B or G, giving outcomes:
Here (older boy, younger girl) and (older girl, younger boy) are different outcomes.
Checking the answer
The counts match the multiplication rule: , , . Each list has no repeats.
Answer
(a) , points; (b) the ordered pairs with ; (c) .
Question 2: A two-stage experiment where the second stage depends on the first
The problem
A coin is tossed and, if it shows a head, a die is rolled. Describe the sample space .
Understanding the problem
The die is rolled only when the coin shows a head. If the coin shows a tail, the experiment stops there. So the outcomes are not all of the same shape.
The idea
Follow each branch of the experiment separately (a tree diagram in your head): the head branch splits into six, the tail branch ends at once.
Step-by-step solution
Step 1. Head branch: the die then shows to . Write these outcomes as .
Step 2. Tail branch: nothing more happens, so there is a single outcome, .
Step 3. Put both branches together.
Step 4. Count: sample points.
Checking the answer
A common wrong answer is points (). That would mean the die is rolled after a tail too, which the question rules out.
Answer
, with sample points.
Question 3: Events when two dice are rolled
The problem
Two dice are rolled. List the events = the sum is ; = both dice show the same number; = the first die shows . Find , , and in terms of counts.
Understanding the problem
The sample space is the ordered pairs from Question 1(b). Each event is a subset of these. means "both and happen", and means " or (or both) happens". For you are asked for the number of points.
The idea
List each event in full, then read off common points for the intersections. For the union, use the counting rule
subtracting the overlap so it is not counted twice.
Step-by-step solution
Step 1. Event : pairs whose sum is . Go through the first die from to ; the second must be , which must lie between and .
Step 2. Event : doubles.
Step 3. Event : first die shows .
Step 4. : look for pairs in both lists. Only has sum and is a double.
Step 5. : pairs with first die and sum . The second die must be .
Step 6. For , first find the overlap: a double whose first die is is , so . Then
Checking the answer
List directly: the doubles plus the pairs that are not already doubles. That is points.
Answer
( point); ( point); .
Question 4: Mutually exclusive pairs
The problem
Which pairs of events from Question 3 are mutually exclusive?
Understanding the problem
Two events are mutually exclusive when they cannot happen together, that is, when their intersection is the empty set. There are three pairs to test: , and .
The idea
Use the intersections already found in Question 3. A pair is mutually exclusive only if its intersection is .
Step-by-step solution
Step 1. . Rolling makes both happen, so and are not mutually exclusive.
Step 2. . Not mutually exclusive.
Step 3. . Not mutually exclusive.
Checking the answer
For each pair you can name one actual roll that makes both events happen: , and . That settles it.
Answer
None of the three pairs is mutually exclusive.
Question 5: Events from a pack of cards
The problem
A card is drawn from a well-shuffled pack of . Let = the card is a heart, = the card is a king, = the card is red. Describe , and .
Understanding the problem
A pack has four suits of cards: hearts and diamonds are red, spades and clubs are black. There are four kings, one in each suit. means "heart and king", means "heart or red", and means "red but not heart".
The idea
Translate each symbol into words, then think about which cards fit. Notice that every heart is red, so sits inside .
Step-by-step solution
Step 1. : a heart that is also a king. Only one card fits.
Step 2. : a card that is a heart or red. Since every heart is already red, , and adding the hearts to the red cards adds nothing new.
Step 3. : red cards that are not hearts. The red cards are hearts and diamonds, so removing the hearts leaves the diamonds.
Checking the answer
Counts: ; ; . All consistent.
Answer
is the king of hearts; is the set of all red cards; is the set of diamonds.
Question 6: Testing a probability assignment
The problem
Check whether , , is a valid probability assignment on .
Understanding the problem
An assignment is valid only if it obeys the axioms: every probability is , and the probabilities of all the sample points add up to .
The idea
Check both conditions. The first is easy to see; the second needs a sum of fractions.
Step-by-step solution
Step 1. Non-negativity: , and are all positive. This condition holds.
Step 2. Total. Use the common denominator .
Step 3. Compare with : , so . The second axiom fails.
Checking the answer
In decimals: , which is more than .
Answer
Not valid: the probabilities add up to , not .
Question 7: A biased coin
The problem
A coin is biased so that heads is three times as likely as tails. Find and .
Understanding the problem
The two outcomes are not equally likely, so you cannot use . You are told a ratio: . The sample space is .
The idea
Call the smaller probability , express the other in terms of , and use the axiom that the probabilities of all outcomes add to .
Step-by-step solution
Step 1. Let . Then .
Step 2. The two probabilities must add to .
Step 3. Substitute back.
Checking the answer
, and is indeed three times .
Answer
and .
Question 8: A prime number on the loaded die
The problem
For the loaded die of Example 3, in which each even number is twice as likely as each odd number, find .
Understanding the problem
You need the probability of each face first. Then pick out the prime faces. On a die the primes are , and (remember is not prime).
The idea
As in Example 3, give each odd face probability and each even face , use the fact that all six add to , and then add the probabilities of the prime faces.
Step-by-step solution
Step 1. Odd faces each have probability ; even faces each have . The total must be .
Step 2. So each odd face has probability and each even face .
Step 3. The prime faces are (even), (odd) and (odd).
Checking the answer
The non-prime faces are with total , and .
Answer
.
Common mistake to avoid
Counting as a prime, which would wrongly give .
Question 9: Mutually exclusive but not exhaustive
The problem
Give an example of three events that are mutually exclusive but not exhaustive.
Understanding the problem
You need three events such that no two can happen together (mutually exclusive: every pairwise intersection is empty), yet together they do not cover the whole sample space (not exhaustive: their union is not ).
The idea
Choose a simple experiment and pick three separate outcomes, leaving some outcomes unused.
Step-by-step solution
Step 1. Take the roll of one die: .
Step 2. Let , , .
Step 3. Mutually exclusive: , since one roll cannot show two different numbers.
Step 4. Not exhaustive: . A roll of , or makes none of them happen.
Checking the answer
Both conditions are shown by direct listing, so the example works. (Many other examples are correct too.)
Answer
On one roll of a die, the events , and are mutually exclusive but not exhaustive.
Question 10: An event and its complement
The problem
Show that and are always mutually exclusive and exhaustive.
Understanding the problem
This is a proof. You must show two facts for any event in any sample space : (i) , and (ii) . Recall , the outcomes of that are not in .
The idea
Take an arbitrary outcome of and ask where it can lie. It is either in or not in , never both and never neither.
Step-by-step solution
Step 1 (mutually exclusive). Suppose some outcome were in . Then , and also , which means . An outcome cannot both be in and not be in , so no such exists.
Step 2 (exhaustive). Take any outcome . Either , or , in which case by the definition of . Either way . So every outcome of is in , and contains nothing outside .
Step 3. Having shown both facts, and are mutually exclusive and exhaustive.
Checking the answer
Test with Example 1: gives ; these share nothing and together make .
Answer
(they cannot occur together) and (one of them must occur), so and are always mutually exclusive and exhaustive.