Photo AI

Last Updated Sep 26, 2025

Calculating Probabilities & Events Simplified Revision Notes

Revision notes with simplified explanations to understand Calculating Probabilities & Events quickly and effectively.

user avatar
user avatar
user avatar
user avatar
user avatar

290+ students studying

3.1.1 Calculating Probabilities & Events

Probability is the measure of how likely an event is to occur. Understanding how to calculate probabilities and the relationships between different events is fundamental in statistics.

Basic Probability Concepts

Probability of an Event (P(E))

The probability of an event EE is calculated as:

P(E)=Number of favourable outcomesTotal number of possible outcomes P(E) = \frac{\text{Number of favourable outcomes}}{\text{Total number of possible outcomes}}
infoNote

Example: The probability of rolling a 33 on a fair 66-sided die:

P(rolling a 3)=16 P(\text{rolling a 3}) = \frac{1}{6}

Complementary Events

The complement of an event EE is the event that EE does not occur.

If P(E)P(E) is the probability of EE , then the probability of the complement EE' is:

P(E)=1P(E)P(E') = 1 - P(E)
infoNote

Example: If P(E)=0.4P(E) = 0.4 ,

then P(E)=10.4=0.6P(E') = 1 - 0.4 = 0.6 .

Mutually Exclusive Events

Events are mutually exclusive if they cannot occur at the same time.

If AA and BB are mutually exclusive, then:

P(A or B)=P(A)+P(B)P(A \text{ or } B) = P(A) + P(B)
infoNote

Example: The probability of rolling either a 11 or a 22 on a 66-sided die:

P(rolling a 1 or 2)=P(1)+P(2)P(\text{rolling a 1 or 2}) = P(1) + P(2) 16+16=26=13\frac{1}{6} + \frac{1}{6} = \frac{2}{6} = \frac{1}{3}

Independent Events

Two events are independent if the occurrence of one does not affect the occurrence of the other.

If AA and BB are independent, then:

P(A and B)=P(A)×P(B)P(A \text{ and } B) = P(A) \times P(B)
infoNote

Example: The probability of flipping a coin and getting heads, and rolling a die and getting a 44:

P(Heads and 4)=P(Heads)×P(4)P(\text{Heads and 4}) = P(\text{Heads}) \times P(4) 12×16=112\frac{1}{2} \times \frac{1}{6} = \frac{1}{12}

Conditional Probability

Conditional probability is the probability of an event occurring given that another event has already occurred. The conditional probability of AA given BB is:

P(AB)=P(A and B)P(B) P(A \mid B) = \frac{P(A \text{ and } B)}{P(B)}
infoNote

Example: In a deck of 5252 cardscards, what is the probability of drawing an Ace given that a red card has been drawn?

Step 1: Work out the data in the probability question.

There are 26 red cards in the deck (1313 HeartsHearts and 1313 DiamondsDiamonds)

2 of these are Aces.


Step 2: Insert this data into the formula

P(AceRed Card)=P(Ace and Red Card)P(Red Card)P(\text{Ace} \mid \text{Red Card}) = \frac{P(\text{Ace and Red Card})}{P(\text{Red Card})} 2522652=226=113\frac{\frac{2}{52}}{\frac{26}{52}} = \frac{2}{26} = \frac{1}{13}

Combined Events

Union of Two Events (A or B)

The probability that either event AA or event B B (or both) occur is given by:

P(A or B)=P(A)+P(B)P(A and B) P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)
infoNote

Example: Calculate the probability of drawing a card that is either a heart or an Ace from a deck of cards:

Step 1: Calculate the probability of drawing a heart from a deck of cards.

There are 52 cards in a deck, and 13 of them are hearts.

P(Heart)=1352=14P(\text{Heart}) = \frac{13}{52} = \frac{1}{4}

Step 2: Calculate the probability of drawing an Ace from a deck of cards.

There are 52 cards in a deck, and 4 of them are Aces.

P(Ace)=452=113P(\text{Ace}) = \frac{4}{52} = \frac{1}{13}

Step 3: Calculate the probability of drawing the Ace of Hearts from a deck of cards.

There are 52 cards in a deck, and only one of them is the Ace of Hearts.

P(Ace of Hearts)=152P(\text{Ace of Hearts}) = \frac{1}{52}


Step 4: Using the formula, calculate the probability of drawing a card that is either a heart or an Ace from a deck of cards:

Use this formula:

P(A or B)=P(A)+P(B)P(A and B) P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)

Insert the values from the previous probability calculations.

P(Heart or Ace)=14+113152P(\text{Heart or Ace}) = \frac{1}{4} + \frac{1}{13} - \frac{1}{52} =1352+452152= \frac{13}{52} + \frac{4}{52} - \frac{1}{52} =1652=413= \frac{16}{52} = \frac{4}{13}

Intersection of Two Events (A and B)

The probability that both event AA and event BB occur is:

P(A and B)=P(A)×P(BA)(if A and B are dependent) P(A \text{ and } B) = P(A) \times P(B \mid A) \quad \text{(if A and B are dependent)}
infoNote

Example: Calculate the probability of drawing two Aces in a row without replacement from a deck of cards:

Step 1: Calculate the probability of drawing the first Ace.

There are 52 cards in a deck, and 4 of them are Aces.

Therefore the probability of drawing the first Ace is:

452=113 \frac{4}{52} = \frac{1}{13}

Step 2: Calculate the probability of drawing the second Ace.

Since one Ace has already been picked up there are now 51 cards in the deck, with 3 Aces.

Therefore the probability of drawing the second Ace is:

351=117 \frac{3}{51} = \frac{1}{17}

Step 3: Using the formula calculate the probability of drawing two Aces in a row without replacement from a deck of cards.

P(Two Aces)=113×117=1221P(\text{Two Aces}) = \frac{1}{13} \times \frac{1}{17} = \frac{1}{221}

Examples of Probability Calculations

infoNote

Example 1: Probability in a Dice Game Question: You roll two six-sided dice. What is the probability of getting a sum of 77?


Step 1: Work out the Possible Outcomes that have a sum of 7

Possible outcomes, where the total on both dice adds up to 7: (1,6),(2,5),(3,4),(4,3),(5,2),(6,1)(1,6), (2,5), (3,4), (4,3), (5,2), (6,1)

There are 6 favourable outcomes.


Step 2: Work out the Total Possible Outcomes

Total possible outcomes: 6×6=366 \times 6 = 36.


Step 3: Calculate the Probability

Use this formula:

P(E)=Number of favourable outcomesTotal number of possible outcomes P(E) = \frac{\text{Number of favourable outcomes}}{\text{Total number of possible outcomes}}

Insert probability values

P(Sum of 7)=636=16P(\text{Sum of 7}) = \frac{6}{36} = \frac{1}{6}
infoNote

Example 2: Conditional Probability with Cards Question: What is the probability of drawing a King given that you have drawn a face card (Jack,Queen,KingJack, Queen, King)?


Step 1: Work out the data needed for the probability question.

There are 12 face cards in a deck (4 Jacks, 4 Queens, 4 Kings).


Step 2: Insert the data into the conditional probability formula

P(KingFace Card)=P(King and Face Card)P(Face Card)P(\text{King} \mid \text{Face Card}) = \frac{P(\text{King and Face Card})}{P(\text{Face Card})}

Probability of drawing a King given that a face card is drawn:

4/5212/52=412=13\frac{4/52}{12/52} = \frac{4}{12} = \frac{1}{3}
infoNote

Example 3: Independent Events with Coin Tossing Question: You flip three coins. What is the probability of getting exactly two heads?


Step 1: Work out the possible outcomes of flipping exactly two heads.

Possible outcomes: HHT,HTH,THHHHT, HTH, THH

3 favourable outcome.


Step 2: Work out the total possible outcomes.

Total possible outcomes: 23=82^3 = 8.


Step 3: Insert the data into the Independent Events formula

P(A and B)=P(A)×P(B)P(A \text{ and } B) = P(A) \times P(B)

Using the data from the question:

P(Exactly 2 Heads)=38P(\text{Exactly 2 Heads}) = \frac{3}{8}

Summary

Calculating probabilities involves understanding the nature of the events (independent, mutually exclusive, etc.) and applying appropriate formulas. Whether dealing with simple events, combined events, or conditional probabilities, the key is to carefully analyze the problem, identify all possible outcomes, and calculate the likelihood of each outcome using the rules of probability. The examples provided illustrate how these concepts are applied in different scenarios.


Books

Only available for registered users.

Sign up now to view the full note, or log in if you already have an account!

500K+ Students Use These Powerful Tools to Master Calculating Probabilities & Events

Enhance your understanding with flashcards, quizzes, and exams—designed to help you grasp key concepts, reinforce learning, and master any topic with confidence!

40 flashcards

Flashcards on Calculating Probabilities & Events

Revise key concepts with interactive flashcards.

Try Maths Statistics Flashcards

4 quizzes

Quizzes on Calculating Probabilities & Events

Test your knowledge with fun and engaging quizzes.

Try Maths Statistics Quizzes

29 questions

Exam questions on Calculating Probabilities & Events

Boost your confidence with real exam questions.

Try Maths Statistics Questions

27 exams created

Exam Builder on Calculating Probabilities & Events

Create custom exams across topics for better practice!

Try Maths Statistics exam builder

15 papers

Past Papers on Calculating Probabilities & Events

Practice past papers to reinforce exam experience.

Try Maths Statistics Past Papers

Other Revision Notes related to Calculating Probabilities & Events you should explore

Discover More Revision Notes Related to Calculating Probabilities & Events to Deepen Your Understanding and Improve Your Mastery

96%

114 rated

Basic Probability

Venn Diagrams

user avatar
user avatar
user avatar
user avatar
user avatar

481+ studying

197KViews

96%

114 rated

Basic Probability

Tree Diagrams

user avatar
user avatar
user avatar
user avatar
user avatar

462+ studying

199KViews
Load more notes

Join 500,000+ A-Level students using SimpleStudy...

Join Thousands of A-Level Students Using SimpleStudy to Learn Smarter, Stay Organized, and Boost Their Grades with Confidence!

97% of Students

Report Improved Results

98% of Students

Recommend to friends

500,000+

Students Supported

50 Million+

Questions answered