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Edexcel International AS Maths: Statistics 1

Revision Notes

Home / International AS / Maths: Statistics 1 / Edexcel / Revision Notes / 2. Probability / 2.2 Further Probability / 2.2.1 Conditional Probability


2.2.1 Conditional Probability


Set Notation

What is set notation?

  • Set notation is a formal way of writing groups of numbers (or other mathematical entities such as shapes) that share a common feature – each number in a set is called an element of the set
    • You should have come across common sets of numbers such as the natural numbers, denoted by straight natural numbers , or the set of real numbers, denoted by straight real numbers
  • In probability, set notation allows us to talk about the sample space and events within in it
    • S, U, xi , calligraphic E are common symbols used for the Universal set
      In probability this is the entire sample space, or the rectangle in a Venn diagram
    • Events are denoted by capital letters, A, B, C etc
    • The events “n o t space A ”, “n o t space B”, “begin mathsize 16px style n o t space C end style” are denoted by begin mathsize 16px style A apostrophe comma space B apostrophe comma space C apostrophe end style etc
      (Strictly pronounced “A  prime” but often called “A  dash”)
       begin mathsize 16px style A apostrophe end styleis called the complement of A
  • In probability we are often looking at combined events
    • The event A and B is called the intersection of events A and B , and the symbol ∩  is used
      i.e.  A and B  is written as A intersection B
      • On a Venn diagram this would be the overlap between the bubble for event A and the bubble for event B
      • From Basic Probability, for independent events

straight P left parenthesis A intersection B right parenthesis equals straight P left parenthesis A right parenthesis cross times straight P left parenthesis B right parenthesis

    • The event A or B is called the union of events A and B , and the symbol union is used
      i.e.  A or B  is written as A union B
      • On a Venn diagram this would be both the bubbles for event A and event B including their overlap (intersection)
      • From Basic Probability, for mutually exclusive events

straight P left parenthesis A union B right parenthesis equals straight P left parenthesis A right parenthesis plus straight P left parenthesis B right parenthesis

    • The other set you may come across in probability is the empty set
      The empty set has no elements and is denoted by empty set

The intersection of mutually exclusive events is the empty set, empty set

  • And finally,  straight P left parenthesis A apostrophe right parenthesis equals 1 minus straight P left parenthesis A right parenthesis

3-2-1-fig1-venn-and-set-notation

How do I solve problems given in set notation?

  • Recognise the notation and symbols used and then interpret them in terms of AND (begin mathsize 16px style intersection end style), OR (union) and/or NOT (‘) statements
  • Venn diagrams lend themselves particularly well to deducing which sets or parts of sets are involved- draw mini-Venn diagrams and shade them
  • Practice shading various parts of Venn diagrams and then writing what you have shaded in set notation
  • With combinations of union, intersection and complement there may be more than one way to write the set required
    • e.g.   left parenthesis A union B right parenthesis apostrophe equals A apostrophe intersection B apostrophe
               left parenthesis A intersection B right parenthesis apostrophe equals A apostrophe union B apostrophe          
      Not convinced?  Sketch a Venn diagram and shade it in!
    • In such questions it can be the unshaded part that represents the solution

Worked Example

The members of a local tennis club can decide whether to play in a singles competition, a doubles competition, both or neither.

Once all members have made their choice the chairman of the club selects, at random, one member to interview about their decision.

S is the event a member selected the singles competition.

D is the event a member selected the doubles competition.

Given that straight P left parenthesis S right parenthesis equals 2 straight P left parenthesis D right parenthesis comma space straight P left parenthesis S union D right parenthesis space equals space 0.9 spaceand straight P left parenthesis S intersection D right parenthesis equals space 0.3 , find

(i)   straight P left parenthesis S apostrophe right parenthesis

(ii)         straight P left parenthesis S apostrophe intersection D right parenthesis

(iii)        straight P left parenthesis S union D apostrophe right parenthesis

(iv)        straight P left parenthesis left parenthesis S union D right parenthesis apostrophe right parenthesis

 

3-2-1-fig2-we-solution-part-1

3-2-1-fig2-we-solution-part-2

3-2-1-fig2-we-solution-part-3

Exam Tip

  • Do not try to do everything using a single diagram – whether given one in the question or using your own; use mini-Venn diagrams and shading for each part of a question
  • Do double check whether you are dealing with union (begin mathsize 16px style union end style) or intersection (begin mathsize 16px style intersection end style) (or both) – when these symbols are used several times near each other in a question, it is easy to get them muddled up or misread them

Conditional Probability

What is conditional probability?

Conditional probability is where the probability of an event happening can vary depending on the outcome of a prior event

  • You have already been using conditional probability
    e.g.  drawing more than one counter/bead/etc from a bag without replacement

                   (Note that, mathematically, that drawing one, not replacing then

                    drawing another is the same as drawing two at the same time.)

  • Consider the following example

e.g.        Bag with 6 white and 3 red buttons. One is drawn at random and not  replaced.  A second button is drawn. The probability that the second button is white given that the first button is white is begin mathsize 16px style 5 over 8 end style.

  • The key phrase here is “given that” – it essentially means something has already happened.
    • In set notation, “given that” is indicated by a vertical line ( | ) so the above example would be written begin mathsize 16px style text P( end text right enclose 2 to the power of nd space is space white end enclose space 1 to the power of st space is space white right parenthesis equals 5 over 8 end style
    • There are other phrases that imply or mean the same things as “given that”
  • Venn diagrams are helpful again but beware – the denominator of fractional probabilities will no longer be the total of all the frequencies or probabilities shown
    • “given that” questions usually reduce the sample space as an event (a subset of the outcomes of the first event) has already occurred

3-2-1-fig3-cp-venn

  • The diagrams above also show two more conditional probability results
    • begin mathsize 16px style straight P left parenthesis A intersection B right parenthesis equals straight P left parenthesis A right parenthesis cross times straight P left parenthesis B vertical line A right parenthesis end style

                    begin mathsize 16px style straight P left parenthesis A intersection B right parenthesis equals straight P left parenthesis B right parenthesis cross times straight P left parenthesis A vertical line B right parenthesis end style   

(These are essentially the same as letters are interchangeable)

  • For independent events we know so

begin mathsize 16px style straight P left parenthesis B vertical line A right parenthesis equals fraction numerator horizontal strike straight P left parenthesis A right parenthesis end strike cross times straight P left parenthesis B right parenthesis over denominator horizontal strike straight P left parenthesis A right parenthesis end strike end fraction equals text P end text left parenthesis B right parenthesis end style

and similarly

begin mathsize 16px style straight P left parenthesis A vertical line B right parenthesis equals straight P left parenthesis A right parenthesis end style

  • The independent result should make sense logically – if events A and B   are independent then the fact that event B  has already occurred has no effect on the probability of event A happening

Worked Example

The Venn diagram below illustrates the probabilities of three events, A comma space B space and space C.

3-2-1-fig4-we2-diagram

(a)
Find
(i)
straight P left parenthesis A vertical line B right parenthesis
(ii)
straight P left parenthesis B vertical line A apostrophe right parenthesis
(iii)
straight P left parenthesis C apostrophe vertical line A apostrophe right parenthesis 

 

(b)
Show, in two different ways, that the events Band C are independent.

(a)
Find
(i)
straight P left parenthesis A vertical line B right parenthesis
(ii)
straight P left parenthesis B vertical line A apostrophe right parenthesis
(iii)
straight P left parenthesis C apostrophe vertical line A apostrophe right parenthesis 

3-2-1-fig4-we2-solution-part-1

3-2-1-fig4-we2-solution-part-2

(b)
Show, in two different ways, that the events Band C are independent.
3-2-1-fig4-we2-solution-part-3

Exam Tip

  • There are now several symbols used from set notation in probability – make sure you are familiar with them
    • union (begin mathsize 16px style union end style)
    • intersection (begin mathsize 16px style intersection end style )
    • not (‘)
    • given that ( | )
  • If given a Venn diagram with all the separate probabilities you may find it easier to work out P(A), P(B) etc first

Two-Way Tables

What are two-way tables?

  • In probability, two-way tables list the frequencies for the outcomes of two events – one event along the top (columns), one event down the side (rows)
  • The frequencies, along with a “Total” row and “Total” column instantly show the values involved in finding probabilities

3-2-1-fig5-two-way-and-notation

How do I solve problems given involving two-way tables?

  • Questions will usually be wordy – and may not even mention two-way tables
    • Questions will need to be interpreted in terms of AND (begin mathsize 16px style intersection end style , intersection), OR (begin mathsize 16px style union end style, union), NOT (‘) and GIVEN THAT ( | )
  • Complete as much of the table as possible from the information given in the question
    • If any empty cells remain, see if they can be calculated by looking for a row or column with just one missing value
  • Each cell in the table is similar to a region in a Venn diagram
    • With event A outcomes on columns and event B outcomes on rows
      • begin mathsize 16px style P intersection Q end style(intersection, AND) will be the cell where outcome  meets outcome
      • size 16px P size 16px union size 16px Q(union, OR) will be all the cells for outcomes  and  including the cell for both
    • Beware! As union includes the cell for both outcomes, avoid counting this cell twice when calculating frequencies or probabilities

(see Worked Example Q(b)(ii))

  • You may need to use the results
    • begin mathsize 16px style straight P left parenthesis A intersection B right parenthesis equals straight P left parenthesis A right parenthesis cross times straight P left parenthesis B vertical line A right parenthesis end style
    • Error converting from MathML to accessible text. (for independent events)

Worked Example

The incomplete two-way table below shows the type of main meal provided by 80 owners to their cat(s) or dog(s).

 

Dry Food

Wet Food

Raw Food

Total

Dog

11

 

8

 

Cat

 

19

 

33

Total

21

 

 

 

(a)
Complete the two-way table

 

(b)
One of the 80 owners is selected at random.
Find the probability 
(i)
the selected owner has a cat and feeds it raw food for its main meal.
(ii)
the selected owner has a dog or feeds it wet food for its main meal.
(iii)
the owner feeds raw food to its pet, given it is a dog.
(iv)
the owner has a cat, given that they feed it dry food.

3-2-1-fig6-we3-solution

Exam Tip

  • Ensure any table – given or drawn - has a “Total” row and a “Total” column
  • Do not confuse a two-way table with a sample space diagram – a two-way table does not necessarily display all outcomes from an experiment, just those (events) we are interested in


  • 1. Data Presentation & Interpretation
    • 1.1 Statistical Measures
      • 1.1.1 Basic Statistical Measures
        • 1.1.2 Frequency Tables
          • 1.1.3 Standard Deviation & Variance
            • 1.1.4 Coding
              • 1.1.5 Statistical Modelling
              • 1.2 Working with Data
                • 1.2.1 Data Presentation
                  • 1.2.2 Stem and Leaf Diagrams
                    • 1.2.3 Box Plots
                      • 1.2.4 Histograms
                        • 1.2.5 Outliers
                          • 1.2.6 Intrepreting Data
                            • 1.2.7 Skewness
                            • 1.3 Correlation & Regression
                              • 1.3.1 Properties of Scatter Diagrams
                                • 1.3.2 Correlation & Regression
                                  • 1.3.3 Coding Bivariate Data
                                • 2. Probability
                                  • 2.1 Basic Probability
                                    • 2.1.1 Calculating Probabilities & Events
                                      • 2.1.2 Venn Diagrams
                                        • 2.1.3 Tree Diagrams
                                        • 2.2 Further Probability
                                          • 2.2.1 Conditional Probability
                                            • 2.2.2 Further Venn Diagrams
                                              • 2.2.3 Further Tree Diagrams
                                                • 2.2.4 Probability Formulae
                                              • 3. Statistical Distributions
                                                • 3.1 Discrete Random Variables
                                                  • 3.1.1 Discete Probability Distributions
                                                    • 3.1.2 E(X) & Var(X) (Discrete)
                                                      • 3.1.3 aX+b
                                                        • 3.1.4 Discrete Uniform Distribution
                                                        • 3.2 Normal Distribution
                                                          • 3.2.1 The Normal Distribution
                                                            • 3.2.2 Standard Normal Distribution
                                                              • 3.2.3 Normal Distribution - Calculations
                                                                • 3.2.4 Finding Sigma and Mu


                                                                DOWNLOAD PDF

                                                              Author: Paul

                                                              Paul has taught mathematics for 20 years and has been an examiner for Edexcel for over a decade. GCSE, A level, pure, mechanics, statistics, discrete – if it’s in a Maths exam, Paul will know about it. Paul is a passionate fan of clear and colourful notes with fascinating diagrams – one of the many reasons he is excited to be a member of the SME team.


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