Skip to topic
    ← Back to course topics

    E4a — AQA GCSE Statistics

    Test yourself on E4a with AQA GCSE practice questions.

    Start free

    7 days Premium · Then free forever · No card, no charge

    Your focus

    1. Know and apply the formal notation for independent events.

    E4a exam tips

    Quick Revision Summary (Key Takeaway)

    AQA GCSE Statistics topic E4a covers the addition laws of probability, including mutually exclusive events where P(A or B) = P(A) + P(B) and general non-mutually exclusive events where P(A U B) = P(A) + P(B) - P(A n B). Mastering these rules allows students to accurately calculate union probabilities from Venn diagrams, contingency tables, and contextual problem-solving scenarios.

    Topic Overview

    Topic E4a focuses on the fundamental addition laws of probability and the structural classification of events. Students learn how to identify mutually exclusive events and apply both the simple addition rule and the general addition rule across multiple representations including tables, lists, and Venn diagrams.

    This topic bridges basic single-event probability with advanced bivariate analysis and risk modelling in AQA GCSE Statistics. Understanding when and how to subtract overlapping outcomes is essential for accurate calculations in both theoretical exam scenarios and real-world data interpretation.

    Key Concepts
    • →Mutually Exclusive Events: Two or more events that cannot occur simultaneously, such that P(A n B) = 0.
    • →Addition Law for Mutually Exclusive Events: P(A U B) = P(A) + P(B).
    • →General Addition Law: P(A U B) = P(A) + P(B) - P(A n B), used when events can occur together to prevent double-counting.
    • →Exhaustive Events: A set of events whose union encompasses the entire sample space, meaning at least one must occur and their total probability sums to 1.
    Examiner Tips
    • 💡Always state the general formula P(A U B) = P(A) + P(B) - P(A n B) before substituting values, as examiners award method marks even if an arithmetic error occurs later.
    • 💡When using two-way contingency tables, identify whether the question asks for an 'or' probability across rows/columns or a conditional probability, and check that totals are used correctly.
    • 💡Keep answers as exact fractions in their simplest form unless the question specifies decimals or percentages.
    Common Mistakes
    • Thinking that 'mutually exclusive' means the same thing as 'independent'. In reality, mutually exclusive events are heavily dependent because if one occurs, the probability of the other occurring becomes 0.
    • Forgetting to subtract P(A n B) when calculating 'P(A or B)' from word problems, resulting in double-counting individuals who belong to both categories.
    • Assuming that if two events are mutually exclusive, they must also be exhaustive. Two events can be mutually exclusive without covering all possible outcomes.
    Revision Plan
    1. 1Day 1-2: Master definitions of mutually exclusive versus independent events and practice writing formal explanations using set notation.
    2. 2Day 3-4: Solve pure calculation problems using the general addition law P(A U B) = P(A) + P(B) - P(A n B) with cards, dice, and spinners.
    3. 3Day 5-6: Practise extracting union and intersection probabilities from Venn diagrams and two-way tables.
    4. 4Day 7: Complete past paper exam questions under timed conditions, specifically focusing on multi-step context questions.
    Exam Question Types
    • 📋Categorisation and justification questions asking whether two named events are mutually exclusive with formal mathematical proof.
    • 📋Numerical calculation questions requiring the application of the general addition formula using given values or Venn diagrams.
    • 📋Contingency table calculations where students must calculate the probability of a compound 'either/or' event.
    Command Word Expectations (AQA)
    State with a reason

    Give a direct decision (e.g. 'Yes' or 'No') accompanied by an explicit statistical reason referencing P(A n B) = 0 or the impossibility of both outcomes coinciding.

    Calculate

    Show full working: write down the relevant formula, substitute numerical values, and provide the final answer as a simplified fraction, decimal, or percentage.

    Show that

    Provide a complete algebraic or numerical chain of reasoning leading unambiguously to the given final value without skipping intermediate arithmetic.

    How Students Lose Marks (Examiner Pitfalls)
    Pitfall: Adding probabilities for non-mutually exclusive events without subtracting the intersection P(A n B), resulting in double-counting and probabilities exceeding 1.
    ❌ Weak Answer (Loses Marks):P(King or Heart) = 4/52 + 13/52 = 17/52.
    Example improved answer:Events are not mutually exclusive because the King of Hearts belongs to both sets. P(King or Heart) = P(King) + P(Heart) - P(King n Heart) = 4/52 + 13/52 - 1/52 = 16/52 = 4/13.
    Examiner Tip: Always check whether two outcomes can happen simultaneously. If they can, you must apply the general addition law and subtract the overlap.
    Pitfall: Confusing mutually exclusive events with independent events when explaining statistical reasoning in written questions.
    ❌ Weak Answer (Loses Marks):The events are mutually exclusive because one event happening does not affect the other event happening.
    Example improved answer:The events are mutually exclusive because they cannot happen at the exact same time, meaning P(A n B) = 0. The definition given in the weak response describes independent events, not mutually exclusive events.
    Examiner Tip: Memorise the exact definitions: mutually exclusive means cannot happen together (overlap is zero); independent means one occurring does not alter the probability of the other.
    Step-by-Step Worked Solutions

    Question: In a group of 80 college students, 45 study Mathematics, 30 study Economics, and 15 study both Mathematics and Economics. A student is selected at random. Calculate the probability that the student studies Mathematics or Economics.

    1. 1.Step 1: Define events and identify given values. Let M be the event a student studies Mathematics and E be the event a student studies Economics. P(M) = 45/80, P(E) = 30/80, and P(M n E) = 15/80.
    2. 2.Step 2: Recognize that M and E are not mutually exclusive since 15 students study both. Apply the general addition law: P(M U E) = P(M) + P(E) - P(M n E).
    3. 3.Step 3: Substitute the known probabilities: P(M U E) = 45/80 + 30/80 - 15/80 = 60/80.
    4. 4.Step 4: Simplify the fraction to simplest form: 60/80 = 3/4 (or 0.75).
    Final Answer: P(Studies Mathematics or Economics) = 3/4 (or 0.75)

    Question: A fair six-sided die is rolled. Event A is rolling an odd number, and Event B is rolling a 6. State, with a mathematical reason, whether events A and B are mutually exclusive. Hence, calculate P(A or B).

    1. 1.Step 1: List the outcomes for each event. Die sample space S = {1, 2, 3, 4, 5, 6}. Event A = {1, 3, 5} and Event B = {6}.
    2. 2.Step 2: Check for common outcomes. A n B = {}, so P(A n B) = 0. Because they share no common outcomes and cannot happen together, they are mutually exclusive.
    3. 3.Step 3: Apply the mutually exclusive addition rule: P(A or B) = P(A) + P(B).
    4. 4.Step 4: Calculate the individual probabilities and sum them: P(A) = 3/6, P(B) = 1/6. P(A or B) = 3/6 + 1/6 = 4/6 = 2/3.
    Final Answer: Events A and B are mutually exclusive because P(A n B) = 0; P(A or B) = 2/3
    Active Recall Memory Test
    What is the general addition rule for any two events A and B?
    Key Fact: P(A U B) = P(A) + P(B) - P(A n B)
    What is the value of P(A n B) if events A and B are mutually exclusive?
    Key Fact: 0
    What does it mean for a set of events to be exhaustive?
    Key Fact: The events cover all possible outcomes in the sample space, so their probabilities sum to 1.
    If P(A) = 0.4, P(B) = 0.3, and A and B are mutually exclusive, what is P(A or B)?
    Key Fact: 0.7 (since P(A or B) = 0.4 + 0.3 = 0.7)
    Frequently Asked Questions
    What is the difference between mutually exclusive and independent events?
    Mutually exclusive events cannot occur at the same time; if one occurs, the other cannot (P(A n B) = 0). Independent events are events where the outcome of one has no impact on the probability of the other occurring (P(A n B) = P(A) x P(B)). In an exam, never say two events are mutually exclusive because they don't affect each other.
    Why do we subtract P(A n B) in the general addition law?
    When you add P(A) and P(B), any outcomes that belong to both A and B are counted twice—once in P(A) and once in P(B). Subtracting P(A n B) removes this duplicated overlap, leaving the true total probability of P(A U B).
    Can two events be both mutually exclusive and independent?
    No, unless one of the events has a probability of 0. If two non-zero events are mutually exclusive, the occurrence of one prevents the other from occurring (reducing its probability to 0), which means they intrinsically affect each other and cannot be independent.
    How should I present probabilities in the AQA GCSE Statistics exam?
    You can express probabilities as proper fractions, decimals between 0 and 1, or percentages. Unless specified otherwise, simplified fractions are generally preferred by examiners to avoid rounding errors.
    What does the symbol U and n mean in probability?
    The symbol U stands for union and translates to 'or' (A occurs, B occurs, or both occur). The symbol n stands for intersection and translates to 'and' (both event A and event B occur simultaneously).