NZ Level 6 (NZC) Level 1 (NCEA)
topic badge
Using Sample spaces to determine Probabilities
Lesson

We can determine probabilities if we can completely specify an outcome space. In doing this, it is important to distinguish between the physical outcomes of an experiment on the one hand and the feature of interest on the other.

Consider an experiment where a coin is flipped twice in succession. The feature of interest may be the number of heads that occur. What is the probability that exactly one head is flipped?

It would be a mistake to think that since either $0$0$1$1, or $2$2 heads may be flipped that the probability of one head occurring is $\frac{1}{3}$13. Instead we should list all the possible outcomes of the trial:

$\left\{HH,HT,TH,TT\right\}${HH,HT,TH,TT}.

The number of occurrences of the feature of interest (exactly one head) is $2$2 out of the $4$4 possible outcomes, for an overall probability of $\frac{2}{4}=\frac{1}{2}$24=12.

We can now generalise using a random variable. If $X$X is the number of heads in a single trial, we can write 

$P\left(X=1\right)=\frac{1}{2}$P(X=1)=12,

which we read as "the probability that there is exactly $1$1 head is $\frac{1}{2}$12".

Similarly,

$P\left(X=0\right)=\frac{1}{4}$P(X=0)=14 and $P\left(X=2\right)=\frac{1}{4}$P(X=2)=14,

indicating that the probability that there are $0$0 heads is $\frac{1}{4}$14, and the same for $2$2 heads.

In general, the probability of the occurrence of each value depends on the number of times the defining feature of the random variable occurs in the sample space.

Imagine a machine randomly choosing pairs $\left(x,y\right)$(x,y)of numbers from the set $\left\{1,2,3,4\right\}${1,2,3,4}. The outcome space is this set:

$$$\left(1,2\right),\left(1,3\right),\left(1,4\right),\left(2,1\right),\left(2,3\right),\left(2,4\right),$(1,2),(1,3),(1,4),(2,1),(2,3),(2,4),

$\left(3,1\right),\left(3,2\right),\left(3,4\right),\left(4,1\right),\left(4,2\right),\left(4,3\right)$(3,1),(3,2),(3,4),(4,1),(4,2),(4,3).$$

Suppose the feature of interest is the sum of the numbers in each pair. That is, we define a random variable $A=x+y$A=x+y. We might ask: What is the probability that the sum $A=6$A=6? This result occurs twice out of twelve outcomes in the space, and so we conclude that $P(A=6)=\frac{1}{6}$P(A=6)=16.

A useful device for ensuring that all the outcomes of an outcome space have been listed is the tree diagram. The following diagram shows how the experiment described above could be represented.

Example

With the outcome space of the experiment described above, we define a random variable $B$B that has the value $0$0 if the sum of the two numbers is even and the value $1$1 if the sum is odd. What is the probability that $B=1$B=1, that is, that the sum will be odd?

The outcomes are: 

$\left\{12,13,14,21,23,24,31,32,34,41,42,43\right\}${12,13,14,21,23,24,31,32,34,41,42,43}

We perform the further operation of summing each pair of numbers and assigning the values 0 and 1 according to whether the sums are even or odd. This gives the following corresponding set of values of the random variable $B$B:

$\left\{1,0,1,1,1,0,0,1,1,1,0,1\right\}${1,0,1,1,1,0,0,1,1,1,0,1}

Of the 12 outcomes, 8 result in an odd sum. So, $P(B=1)=\frac{2}{3}$P(B=1)=23.

Worked Examples

Question 1

A coin is tossed twice.

  1. Construct a tree diagram to identify the sample space of tossing a coin twice.

  2. Use the tree diagram to find the probability of getting two tails.

  3. Use the tree diagram to find the probability of getting at least one tail.

 

Question 2

A three-digit number is to be formed from the digits $4$4, $5$5 and $9$9, where the digits cannot be repeated.

  1. List all the possible numbers in the sample space. Write the numbers on the same line, separated by a comma.

  2. What is the probability that the number formed is odd?

  3. What is the probability that the number formed is even?

  4. What is the probability that the number formed is less than $900$900?

  5. What is the probability that the number formed is divisible by $5$5?

QUEstion 3

Two dice are rolled, and the combination of numbers rolled on the dice is recorded.

  1. Complete the table of outcomes such that each entry in the table consists of the number rolled on Die 1 followed by the number rolled by Die 2.

            Die 2    
        1 2 3 4 5 6
      1 11 12 $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$
      2 21 $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$
    Die 1 3 $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$
    4 $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$
      5 $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$
      6 $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$ $\editable{}$
  2. Find $P$P$($(rolling a $1$1 and a $4$4$)$).

  3. Find $P$P$($(rolling a $1$1 and then a $4$4$)$).

  4. Find $P$P$($(a difference of $4$4 between the two numbers$)$).

  5. Find $P$P$($(a product of $12$12$)$).

  6. Find $P$P$($( the difference between the two numbers is no more than $2$2$)$).

  7. The numbers appearing on the uppermost faces are added. Which of the following are true?

    A sum greater than $7$7 and a sum less than $7$7 are equally likely.

    A

    A sum greater than $7$7 is more likely than a sum less than $7$7.

    B

    A sum of $5$5 or $9$9 is more likely than a sum of $4$4 or $10$10.

    C

    An even sum is more likely than an odd sum.

    D

    A sum greater than $7$7 and a sum less than $7$7 are equally likely.

    A

    A sum greater than $7$7 is more likely than a sum less than $7$7.

    B

    A sum of $5$5 or $9$9 is more likely than a sum of $4$4 or $10$10.

    C

    An even sum is more likely than an odd sum.

    D

 

Outcomes

S6-3

Investigate situations that involve elements of chance: A comparing discrete theoretical distributions and experimental distributions, appreciating the role of sample size B calculating probabilities in discrete situations.

91038

Investigate a situation involving elements of chance

What is Mathspace

About Mathspace