Basic Probability (Cambridge (CIE) IGCSE International Maths)

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Basic Probability

What is probability?

  • Probability describes the likelihood of something happening

    • In real-life you might use words such as impossible, unlikely and certain

  • In maths we use the probability scale to describe probability

    • This means giving it a number between 0 and 1

      • 0 means impossible

      • Between 0 and 0.5 means unlikely

      • 0.5 means even chance

      • Between 0.5 and 1 means likely

      • 1 means certain

  • Probabilities can be given as fractions, decimals or percentages

The probability scale goes from 0 to 1

What key words and terminology are used in probability?

  • An experiment is an activity that is repeated to produce a set of results

    • Results can be observed (seen) or recorded

    • Each repeat is called a trial

  • An outcome is a possible result of a trial

  • An event is an outcome (or a collection of outcomes)

    • For example:

      • a dice lands on a six

      • a dice lands on an even number

    • Events are usually given capital letters

    • n(A) is the number of possible outcomes from event A

      • A = a dice lands on an even number (2, 4 or 6)

      • n(A) = 3 

  • A sample space is the set of all possible outcomes of an experiment

    • It can be represented as a list or a table

  • The probability of event A is written P(A)

  • An event is said to be fair if there is an equal chance of achieving each outcome

    • If there is not an equal chance, the event is biased

    • For example, a fair coin has an equal chance of landing on heads or tails

How do I calculate basic probabilities?

  • If all outcomes are equally likely then the probability for each outcome is the same

    • The probability for each outcome is fraction numerator 1 over denominator Total space number space of space outcomes end fraction

      • If there are 50 marbles in a bag then the probability of selecting a specific one is 1 over 50

  • The theoretical probability of an event can be calculated by dividing the number of outcomes of that event by the total number of outcomes

    • straight P left parenthesis A right parenthesis equals fraction numerator Total space number space of space outcomes space for space the space event over denominator Total space number space of space outcomes end fraction 

    • This can be calculated without actually doing the experiment 

  • If there are 50 marbles in a bag and 20 are blue, then the probability of selecting a blue marble is 20 over 50

How do I find missing probabilities?

  • The probabilities of all the outcomes add up to 1

    • If you have a table of probabilities with one missing, find it by making them all add up to 1 

  • The complement of event A is the event where A does not happen

    • This can be thought of as not A

    • P(event does not happen) = 1 - P(event does happen)

      • For example, if the probability of rain is 0.3, then the probability of not rain is 1 - 0.3 = 0.7

What are mutually exclusive events?

  • Two events are mutually exclusive if they can not both happen at once

    • When rolling a dice, the events “getting a prime number” and “getting a 6” are mutually exclusive

  • If A and B are mutually exclusive events, then the probability of either A or B happening is P(A) + P(B)

  • Complementary events are mutually exclusive

Examiner Tips and Tricks

  • If you are not told in the question how to leave your answer, then fractions are best for probabilities.

Worked Example

Emilia is using a spinner that has outcomes and probabilities as shown in the table.

Outcome

Blue

Yellow

Green

Red

Purple

Probability

 

0.2

0.1

 

0.4

The spinner has an equal chance of landing on blue or red.

(a) Complete the probability table.

The probabilities of all the outcomes should add up to 1

1 - 0.2 - 0.1 - 0.4 = 0.3

The probability that it lands on blue or red is 0.3
As the probabilities of blue and red are equal you can halve this to get each probability

0.3 ÷ 2 = 0.15

Now complete the table

Outcome

Blue

Yellow

Green

Red

Purple

Probability

0.15

0.2

0.1

0.15

0.4

(b) Find the probability that the spinner lands on green or purple.

As the spinner cannot land on green and purple at the same time they are mutually exclusive
This means you can add their probabilities together

0.1 + 0.4 = 0.5

P(Green or Purple) = 0.5 

(c) Find the probability that the spinner does not land on yellow.

The probability of not landing on yellow is equal to 1 minus the probability of landing on yellow

1 - 0.2 = 0.8

P(Not Yellow) = 0.8

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Mark Curtis

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Mark graduated twice from the University of Oxford: once in 2009 with a First in Mathematics, then again in 2013 with a PhD (DPhil) in Mathematics. He has had nine successful years as a secondary school teacher, specialising in A-Level Further Maths and running extension classes for Oxbridge Maths applicants. Alongside his teaching, he has written five internal textbooks, introduced new spiralling school curriculums and trained other Maths teachers through outreach programmes.

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Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.