Probability Objectives When you have competed it you should * know what a ‘sample space’ is *...
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![Page 1: Probability Objectives When you have competed it you should * know what a ‘sample space’ is * know the difference between an ‘outcome’ and an ‘event’.](https://reader035.fdocuments.us/reader035/viewer/2022072010/56649dbd5503460f94ab0a86/html5/thumbnails/1.jpg)
Probability Objectives
When you have competed it you should* know what a ‘sample space’ is
* know the difference between an ‘outcome’ and an ‘event’.
* know about different ways of estimating probabilities.
Key terms: Sample space, Event, Complement of event, Trial/Experiment, Outcome.
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Probability is a measure of the likelihood that something happening.
Estimating Probability
There are three different ways of estimating probabilities.
Method A: Theoretical estimation: Use symmetry i.e. counts equally likely outcomes.e.g. The probability of head ( P(H) ) when a coin is tossed.
Probability
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Estimating Probability
Method B: Experimental estimation: Collect data from an experiment or survey.e.g. What is the estimated probability of a drawing pin landing point upwards when dropped onto a hard surface.Method C: Make a subjective estimateWhen we cannot estimate a probability using experimental methods or equally likely outcomes, we may need to use a subjective method.e.g. What is the estimated probability of my plane crashing as it lands at a certain airport?
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Sample space The list of all the possible outcomes is called the sample space s of the experiment
It is important in probability to distinguish experiments from the outcomes which they may generate.
Experiment Possible outcomes
Tossing a coin (H, T)
Throwing a die (1, 2, 3, 4, 5, 6)
Guessing the answer to a four multiple choice question
(A, B, C, D)
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The complement of an event
The event ‘not A’ is called the complement of the event. The symbol A1 is used to denote the complement of A.
P(A) + P(A1) = 1
An Event is a defined situation.e.g. Scoring a six on the throw of an ordinary six-sided die.
An event
1 2 3 4 5 6
A
s
AA1
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Probability of an event
A coin is tossed twice and we are interested in the event (A) that give the same result.
Example
Solution
Sample space =
HH, HT, TH, TT
Event A = (HH, TT)
P(A) =
2/4 = ½
Note: 0 P(A) 1
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Example 1
The possibility space consists of the integers from 1 to 25 inclusive.
A is the event ‘the number is a multiple of 5’. is the event ‘the number is a multiple of 3’.
An integer is picked at random.
Find (a) P(A), (b) P(B1)
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Solution
)(
)()(
sn
AnAP
Possibility space n(s) = 25
(a)
Number of outcomes in event A n(A) = 5 (5, 10, 15, 20 and 25)
= 5/25 = 1/5
(b)
P(B1) = 1 – P(B) =
1 - 8/25 = 17/25
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Example 2
A cubicle die, number 1 to 6, is weighted so that a six is
three times as likely to occur as any other number.
Find the probability of
(a) a six accurring,
(b) an even number occurring.
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SolutionPossibility space n(s) = {1, 2, 3, 4, 5, 6, 6, 6, } = n(s) = 8(a)
P( a six) = 3/8
(b)
P( an even number) =
5/8
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The pie chart shows the results of 120 people.
A, 240
B, 990
C
D, 1200
E, 420
Example: A car manufacturer carried out a survey in which people were asked which factor from the following list influenced them when buying a car:
A: Colour
B: Service cost
C: Safety
D: Fuel economy
E: ExtrasThe names of those who took part were then placed in a prize draw.
Find the probability that someone who said safety will win the prize.
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The pie chart shows the results of 120 people.
A, 240
B, 990
C
D, 1200
E, 420
Solution:
C = 360 – ( 24 + 99 + 120 + 42 ) = 75
P(C) = 75/360 = 25/120 = 5/24