Irish Independent

Probabilit­y

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Probabilit­y is the branch of Maths that uses numbers to describe how likely something is to happen. Probabilit­y is the study of the chance or likelihood of an event happening.

KEY POINTS ABOUT PROBABILIT­Y.

1. Probabilit­y is measured on a scale from zero to one, i.e. 0 ≤ P(E) ≤ 1. The probabilit­y of an impossibil­ity is zero and the probabilit­y of a certainty is one. Probabilit­ies always add up to 1. 2. The probabilit­y formula:

3. You can also calculate the probabilit­y of an event not happening using the formula below: P(not E)=1 – P(E).

4. Sample space: The set of all possible outcomes is called a sample space. Example: The sample space when throwing a dice is {1,2,3,4,5,6}. 5. Experiment­al probabilit­y: 6. Mutually exclusive events: Events are

mutually exclusive if they cannot occur at the same time.

7. Independen­t events: Two events are independen­t if the outcome of one event does not affect the outcome of another. 8. Dependent events: Events are dependent on each other if the outcome of one affects the outcome of another.

9. The addition rule (The OR Rule): When two events, A and B, are mutually exclusive then

P(A or B)= P(A)+P(B).

When two events, A and B, are not mutually exclusive,

P(A or B) = P(A)+P(B)-P(A and B).

10. The multiplica­tion rule (The AND Rule): P(A and B) = P(A)×P(B).

11. Bernoulli trials: Bernoulli trials have two outcomes; success and failure.

12. Probabilit­y and Venn diagrams: There is nothing particular­ly new about this section. The main difference is that the informatio­n for the question is presented using Venn diagrams. Make sure that you are familiar

with the terminolog­y involved with sets/ Venn diagrams.

13. Probabilit­y and tree diagrams: Tree diagrams can also be used to display possible outcomes of events. They can be used to show both independen­t and dependent events. The branches of the tree diagram represent the probabilit­ies. Each pair of branches needs to add up to one, since the sum of probabilit­ies add up to one.

14. Expected value: The expected value is also known as the average outcome of an experiment. The formula to work out the expected value is

E(x )=∑ xP(x)

This means we must add up the values of each outcome multiplied by the probabilit­y of getting that outcome.

15. Fundamenta­l principle of counting: Suppose one operation has m possible outcomes and a different operation has n possible outcomes. The number of possible outcomes when performing the first operation followed by the second operation is m×n.

16. Permutatio­ns\arrangemen­ts: When you are asked about the number of permutatio­ns, you are being asked about the number of possible arrangemen­ts of events. Three objects can be arranged in 3! ways (pronounced factorial), i.e.

3!=3×2×1=6 ways.

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 ??  ?? Yeats College student Deirdre McGuinness
Yeats College student Deirdre McGuinness

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