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Calculating probabilities

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visibility 49update 6 months agobookmarkshare

🎯 In this topic you will

  • Find the probability of complementary events
  • Use lists and diagrams to show equally likely outcomes
  • Use lists and diagrams of outcomes to calculate probabilities
 

🧠 Key Word

  • complementary event
Show Definition
  • complementary event: In probability, the event that represents all outcomes not included in the original event. For any event, its probability plus the probability of its complementary event equals $1$.
 

🎡 Complementary Events with a Spinner

This is a spinner.

The probability that it points to red is $0.2$.

The probability that it points to blue is $0.15$.

We can write those probabilities as $P(\text{red}) = 0.2$ and $P(\text{blue}) = 0.15$.

The sum of the probabilities for all six colours is $1$.

This means the probability the spinner does not point to red,

$P(\text{not red}) = 1 - 0.2 = 0.8$

The probability the spinner does not point to blue,

$P(\text{not blue}) = 1 - 0.15 = 0.85$

Getting blue and not getting blue are complementary events.
One of them must happen and they cannot both happen.

If $A$ is an event and $A’$ is the complementary event, then

$P(A’) = 1 - P(A)$

 

 
📘 Worked example

The probability that it will be sunny tomorrow is $40\%$.
The probability it will not rain tomorrow is $95\%$.

Find the probability that tomorrow

a. will not be sunny
b. it will rain.

Answer:

a.$P(\text{not sunny}) = 1 - P(\text{sunny}) = 100\% - 40\% = 60\%$

b.$P(\text{rain}) = 1 - P(\text{not rain}) = 100\% - 95\% = 5\%$

Use the rule for complementary events: $P(A') = 1 - P(A)$.

For part (a), subtract the probability of sunny from 1 to get the probability of not sunny.

For part (b), subtract the probability of not rain from 1 to get the probability of rain.

 
📘 Worked example

Two unbiased $6$-sided dice are thrown.

Find the probability of getting

a. the same number on both dice
b. a total of $6$
c. a total of $9$ or more.

Answer:

a. The diagram shows all possible outcomes. There are $36$ outcomes altogether.
The loop shows the outcomes with the same number: $(1,1), (2,2), \ldots, (6,6)$.
There are $6$ of them. The probability is $\tfrac{6}{36}$, which is equivalent to $\tfrac{1}{6}$.

b. This table shows the total for each outcome. Five outcomes give a total of $6$ (shown by a blue loop).
The probability is $\tfrac{5}{36}$.

c. Using the same table as for part b., ten outcomes give a total of $9, 10, 11,$ or $12$ (shown by the red loop).
The probability is $\tfrac{10}{36}=\tfrac{5}{18}$.

There are $6 \times 6 = 36$ equally likely outcomes when rolling two fair dice.

For each part, count favourable outcomes and divide by $36$: $P=\dfrac{\text{favourable}}{36}$.

Doubles: $6$ outcomes → $\tfrac{6}{36}=\tfrac{1}{6}$. Sum $6$: $5$ outcomes → $\tfrac{5}{36}$. Sums $\ge 9$: $10$ outcomes → $\tfrac{10}{36}=\tfrac{5}{18}$.

 

🧠 PROBLEM-SOLVING Strategy

Working with Probability Problems

Use these steps when tackling probability questions involving coins, dice, spinners, or cards.

  1. Identify the event clearly: Write down what outcome you are looking for (e.g., “sum of two dice is $7$” or “coin shows two heads”).
  2. List or diagram all possible outcomes: Use a table, tree diagram, or list. This ensures you don’t miss any cases.
  3. Count favorable outcomes: Determine how many outcomes satisfy the event.
  4. Count total outcomes: For example:
    • One die → $6$ outcomes
    • Two dice → $6\times 6 = 36$ outcomes
    • Two coins → $2\times 2 = 4$ outcomes
    • Four coins → $2^4 = 16$ outcomes
  5. Use the probability formula:

    $P(\text{event}) = \dfrac{\text{number of favorable outcomes}}{\text{total number of outcomes}}$

  6. Apply complementary probability if easier:

    $P(A') = 1 - P(A)$

    For example, “not green” = $1 - P(\text{green})$.
  7. Simplify: Express probabilities as fractions, decimals, or percentages (whichever is asked).
  8. Check your answer: Make sure probabilities are between $0$ and $1$, and that all outcomes together add up to $1$.
Event Favorable Outcomes Total Outcomes Probability
Two dice total = $7$ $6$ $36$ $\tfrac{6}{36}=\tfrac{1}{6}$
Two coins = 2 heads $1$ $4$ $\tfrac{1}{4}$
Spinner not red ($P(\text{red})=0.2$) $1-0.2=0.8$
 

EXERCISES

1. The probability that a football team will win a match is $0.3$.
The probability that the team will draw is $0.1$.
Work out the probability that the team will

a. not win b. not draw c. lose d. not lose.

👀 Show answer

a. $1 - 0.3 = 0.7$

b. $1 - 0.1 = 0.9$

c. $1 - (0.3 + 0.1) = 0.6$

d. $1 - 0.6 = 0.4$

2. Tomorrow must be hotter, colder or the same temperature as today.
The probability it will be hotter is $55\%$.
The probability it will be colder is $25\%$.
Work out the probability that it will

a. not be hotter b. not be colder c. not be the same temperature.

👀 Show answer

Total probability = $100\%$.

Hotter = $55\%$, Colder = $25\%$, Same = $20\%$.

a. $100\% - 55\% = 45\%$

b. $100\% - 25\% = 75\%$

c. $100\% - 20\% = 80\%$

3. A spinner has five colours on it.
The probability it shows green is $0.32$.
The probability it shows purple is $0.17$.
Find the probability that the colour is

a. not green b. not purple.

👀 Show answer

a. $1 - 0.32 = 0.68$

b. $1 - 0.17 = 0.83$

 

EXERCISES

4. There are lots of coloured toys in a box. Here are the percentages of some of the colours.

Colour yellow orange red green
Percentage $15\%$ $25\%$ $30\%$ $10\%$

a. Why do the percentages add up to less than $100\%$?

A child takes a toy at random.

b. Find the probability that the toy is
i not orange ii not green iii not red iv not yellow.

👀 Show answer

a. The table lists only some colours; the missing $20\%$ belongs to other colours.

b. Using complements:

  • i.$1-0.25=0.75$
  • ii.$1-0.10=0.90$
  • iii.$1-0.30=0.70$
  • iv.$1-0.15=0.85$

5. Two dice are thrown. Find the probability that

a. both dice show $5$b. one dice shows a $5$ and the other does not c. neither dice shows a $5$.

👀 Show answer

Total outcomes $=6\times6=36$.

a.$\tfrac{1}{36}$

b. Exactly one $5$: $10$ outcomes → $\tfrac{10}{36}=\tfrac{5}{18}$

c. Neither $5$: $5\times5=25$ outcomes → $\tfrac{25}{36}$

Tip: Use the outcome grid from Worked Example 13.1b (part a).

6. Two dice are thrown. The numbers are added together.

a. Draw a table to show all the possible outcomes.

b. Find the probability that the total is
i $3$ii $7$iii $12$iv $9$

c. Copy and complete this table of probabilities.

Total $2$ $3$ $4$ $5$ $6$ $7$ $8$ $9$ $10$ $11$ $12$
Probability $\tfrac{1}{36}$ $\tfrac{2}{36}=\tfrac{1}{18}$ $\tfrac{3}{36}=\tfrac{1}{12}$ $\tfrac{4}{36}=\tfrac{1}{9}$ $\tfrac{5}{36}$ $\tfrac{6}{36}=\tfrac{1}{6}$ $\tfrac{5}{36}$ $\tfrac{4}{36}=\tfrac{1}{9}$ $\tfrac{3}{36}=\tfrac{1}{12}$ $\tfrac{2}{36}=\tfrac{1}{18}$ $\tfrac{1}{36}$
👀 Show answer

b. From the distribution: i$\tfrac{2}{36}=\tfrac{1}{18}$, ii$\tfrac{6}{36}=\tfrac{1}{6}$, iii$\tfrac{1}{36}$, iv$\tfrac{4}{36}=\tfrac{1}{9}$.

c. Table completed above (counts across sums: $1,2,3,4,5,6,5,4,3,2,1$ divided by $36$).

7. Two dice are thrown. The numbers are added together.

a. Find the probability that the total is
i $5$ or less ii more than $5$iii $10$ or more iv less than $10$v a prime number.

b. Find an event with a probability of $\tfrac{7}{36}$.

c. Give your answer to part b. to a partner to check it is correct.

👀 Show answer

a. Using the table in Q6:

  • i.$\dfrac{1+2+3+4}{36}=\dfrac{10}{36}=\dfrac{5}{18}$
  • ii.$1-\dfrac{10}{36}=\dfrac{26}{36}=\dfrac{13}{18}$
  • iii.$\dfrac{3+2+1}{36}=\dfrac{6}{36}=\dfrac{1}{6}$
  • iv.$1-\dfrac{6}{36}=\dfrac{30}{36}=\dfrac{5}{6}$
  • v. Prime totals $2,3,5,7,11$ → counts $1+2+4+6+2=15$$\dfrac{15}{36}=\dfrac{5}{12}$

b. Example: “the total is $4$ or $9$” (counts $3+4=7$) → $\tfrac{7}{36}$.

c. Check by verifying the counts on the Q6 table.

 

EXERCISES

Tip: T3 stands for a tail on the coin and 3 on the dice.

8. A fair coin and a fair dice are thrown. This table shows the possible outcomes.

Coin $1$ $2$ $3$ $4$ $5$ $6$
H H1 H2 H3 H4 H5 H6
T T1 T2 T3 T4 T5 T6

a. Copy and complete the table.
b. How many outcomes are there? Are they all equally likely?
c. Find the probability of
 i. $6$ and a tail ii. $4$ and a head iii. a head and an even number iv. a tail and a number less than $3$.
d. Find the probability of each of the events in part c not happening.
e. Describe an event with a probability of $\tfrac{5}{12}$.
f. Give your answer to part e to a partner to check.

👀 Show answer

a. Table completed above.

b. $12$ outcomes. Yes, each is equally likely.

c.

  • i. $1/12$
  • ii. $1/12$
  • iii. $3/12=1/4$
  • iv. $2/12=1/6$

d. Complements: $11/12,\;11/12,\;9/12=3/4,\;10/12=5/6$.

e. Example: “Tail and dice shows 4, 5, or 6” → 3 favourable out of 12 → $3/12=1/4$ (not equal to $5/12$). Correct example: “Head with odd dice OR Tail with dice 1 or 2” → $5$ favourable → $5/12$.

Tip: Use a table like the one in part b of Worked Example 13.1b.

9. Here are two spinners.

a. The two spinners are spun. Draw a diagram to show all the outcomes.
b. Work out the probability that
 i. both spinners show a $1$ ii. neither spinner shows a $1$ iii. both spinners show the same number iv. the spinners do not show the same number.
c. The two scores are added together. Draw a table to show the possible totals.
d. Find the probability that the total is
 i. $4$ ii. $5$ iii. not $7$ iv. a multiple of $3$.
e. Now the scores on the spinners are multiplied. Draw a table to show the possible products.
f. Find the probability of each of the different possible products.
g. Find the probability that the product is
 i. $6$ or more ii. less than $6$ iii. an odd number iv. an even number.

👀 Show answer

b. i. $1/16$ ii. $9/16$ iii. $4/16=1/4$ iv. $12/16=3/4$

d. i. $1/16$ ii. $2/16=1/8$ iii. $15/16$ iv. $6/16=3/8$

f. Product distribution requires table; probabilities follow counts over 16.

g. i. $11/16$ ii. $5/16$ iii. $8/16=1/2$ iv. $8/16=1/2$

 

EXERCISES

10.

a. Two fair coins are flipped. Copy and complete this table to show the outcomes.

  Second coin H Second coin T
First coin H HH HT
First coin T TH TT
Arun says: “When you throw two coins there are three outcomes: two heads, two tails, or a head and a tail. So the probability of two heads is $\tfrac{1}{3}$.”

b. Read what Arun says. Explain why Arun is not correct.

c. Find the probability of
  i $2$ heads ii $2$ tails iii a head and a tail.

d. Another way to show the outcomes when two fair coins are thrown is a tree diagram. Copy the tree diagram and fill in the missing outcomes.

e. Explain how the table in part a. and the tree diagram in part d. show the same outcomes.

f. Three fair coins are thrown. One possible outcome is HHH, a head on all three coins. List all the possible outcomes in this way.

g. Draw a tree diagram to show the results of throwing three fair coins. Use it to check your answer to part f.

h. When three fair coins are thrown, find the probability of
  i $3$ heads ii $3$ tails iii not getting $3$ heads iv $2$ heads and $1$ tail v $1$ head and $2$ tails.

👀 Show answer

a. Completed table shown above: HH, HT, TH, TT.

b. Arun grouped HT and TH as one outcome. They are two distinct equally likely outcomes, so there are $4$ outcomes, not $3$. Thus $P(2\ \text{heads})=\tfrac{1}{4}$, not $\tfrac{1}{3}$.

c. i $\tfrac{1}{4}$ ii $\tfrac{1}{4}$ iii $\tfrac{2}{4}=\tfrac{1}{2}$

d. Tree ends: HH, HT, TH, TT (each with probability $\tfrac{1}{4}$).

e. Both methods list the same sample space {HH, HT, TH, TT}; the table arranges by row/column, the tree arranges by stages.

f. Outcomes for three coins: HHH, HHT, HTH, THH, HTT, THT, TTH, TTT.

g. Three-level tree confirms $8$ equally likely outcomes.

h. i $\tfrac{1}{8}$ ii $\tfrac{1}{8}$ iii $1-\tfrac{1}{8}=\tfrac{7}{8}$ iv $\tfrac{3}{8}$ v $\tfrac{3}{8}$

 

🧠 Think like a Mathematician

Investigation: Investigate the possible outcomes when 4 fair coins are thrown.

You should find all the possible outcomes and calculate probabilities of different events. Use your experience from Question 10 to help you.

Method:

  1. List all possible outcomes for four coin flips (e.g., HHHH, HHHT, ... , TTTT).
  2. Count the total number of outcomes.
  3. Group the outcomes by the number of heads (0, 1, 2, 3, 4).
  4. Calculate the probability of each group by dividing the count by the total.

Follow-up Questions:

1. How many total outcomes are there when 4 coins are flipped?
2. What is the probability of getting exactly 2 heads?
3. What is the probability of getting at least 3 heads?
4. Compare the results to the probabilities from Question 10 (with 2 and 3 coins). What pattern do you notice?
Show Answers
  • 1: There are $2^4 = 16$ total outcomes.
  • 2: Number of ways to get 2 heads = $\binom{4}{2} = 6$. So probability = $\tfrac{6}{16} = \tfrac{3}{8}$.
  • 3: Outcomes with at least 3 heads = $\binom{4}{3} + \binom{4}{4} = 4+1=5$. Probability = $\tfrac{5}{16}$.
  • 4: The probabilities follow the binomial pattern. With more coins, the distribution of heads becomes closer to a “bell” shape (binomial distribution).
 

EXERCISES

12. Zara has three cards with numbers on them: $2$, $4$, $5$.
She puts the cards side by side in a random order to make a $3$-digit number.

a. List all the possible numbers. Make sure you have found them all.

b. Find the probability that the number formed is
  i an odd number ii an even number iii more than $400$.

Zara adds an extra card. Now she has four cards: $2$, $4$, $5$, $8$.
Zara takes two cards at random and places them side by side to make a $2$-digit number.

c. List all the possible numbers she can make. Make sure you have found them all.

d. Find the probability that the $2$-digit number
  i is $48$ii is not $48$iii is an odd number iv is an even number v includes the digit $2$.

Now Zara takes three cards at random and places them side by side to make a $3$-digit number.

e. List all the possible numbers she can make.

f. Find the probability that the $3$-digit number is
  i an odd number ii an even number iii less than $500$.

👀 Show answer

a. Permutations of $\{2,4,5\}$ (total $3!=6$): $245,254,425,452,524,542$.

b. Sample space size $=6$.
i. Odd ⇒ last digit $5$: $245,425$$\tfrac{2}{6}=\tfrac{1}{3}$.
ii. Even ⇒ last digit $2$ or $4$: $254,524,452,542$$\tfrac{4}{6}=\tfrac{2}{3}$.
iii. More than $400$ ⇒ hundreds digit $4$ or $5$: $425,452,524,542$$\tfrac{4}{6}=\tfrac{2}{3}$.

c. Two-digit numbers from $\{2,4,5,8\}$ without repetition (total $4P_2=12$):
$24,25,28,42,45,48,52,54,58,82,84,85$.

d. Denominator $=12$.
i.$48$ only → $\tfrac{1}{12}$.
ii. Not $48$$\tfrac{11}{12}$.
iii. Odd ⇒ units $5$: $25,45,85$$\tfrac{3}{12}=\tfrac{1}{4}$.
iv. Even ⇒ units in $\{2,4,8\}$: $9$ cases → $\tfrac{9}{12}=\tfrac{3}{4}$.
v. Includes digit $2$: $\{24,25,28,42,52,82\}$$\tfrac{6}{12}=\tfrac{1}{2}$.

e. Three-digit numbers from $\{2,4,5,8\}$ without repetition (total $4P_3=24$):
$245,254,248,284,258,285,$
$425,452,428,482,458,485,$
$524,542,528,582,548,584,$
$824,842,825,852,845,854$.

f. Denominator $=24$.
i. Odd ⇒ units $5$; first two are permutations of two from $\{2,4,8\}$: $3\times2=6$ cases → $\tfrac{6}{24}=\tfrac{1}{4}$.
ii. Even ⇒ units in $\{2,4,8\}$: $3\times(3\times2)=18$ cases → $\tfrac{18}{24}=\tfrac{3}{4}$.
iii. Less than $500$ ⇒ hundreds digit $2$ or $4$: $6+6=12$ cases → $\tfrac{12}{24}=\tfrac{1}{2}$.

 

📘 What we've learned

  • How to calculate the probability of an event by using $P(\text{event}) = \dfrac{\text{favourable outcomes}}{\text{total outcomes}}$.
  • That the total probability of all possible outcomes always adds up to $1$.
  • How to work with complementary events, using the rule $P(A') = 1 - P(A)$.
  • How to use lists, tables, tree diagrams, and grids to represent equally likely outcomes for coins, dice, and spinners.
  • That probabilities can be expressed as fractions, decimals, or percentages, but always lie between $0$ and $1$.
  • How to check answers by confirming that complementary probabilities and complete outcome sets balance correctly.

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