Probability - stats

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33 Terms

1

Probability theory

Branch of maths describes random behavior

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2

Basis of probability

Observation

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3

Probability

Extent to which an event, consist of single outcome is likely to occur and represent as proportion

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4

Probability of event, P(E)

Numbers between 0-1 indicate likelihood that it occur

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5

Spread of probability

0≤P(E)≤1 for any event E

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6

If event certain not to occur

Probability is 0

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7

If event is certain to occur

Probability is 1

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8

Theoretical probability

Expected probability, equal

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9

Law of large numbers

As sample size increase, expect experimental probability to be closer to theoretical probability value of those outcomes

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10

Write probability in

Fraction or decimal

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11

3 methods of expressing probability

Institution, Experimental and theoretical

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12

Intuition

Guessing the probability

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13

Experimental probability

After calculating

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14

Outcomes

In any probability, different possible results

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15

Sample space

List in brackets of all possible outcomes in any probability experiment.

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16

All P(E) added equals to

1

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17

Ven diagram

Probability spaces and events can be illustrated with Venn diagram

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18

P(E)≤P(S)

Probability of any event is subset of sample space

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19

Complement

Probability of event not happening

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20

Tree diagram

Helps display outcome of probability experiment consisting of series of outcomes. Total number of outcomes corresponds to total number of final branches.

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21

Chance experiment

Activity where 1 situation in which there is uncertanity

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22

All data collected for

chance experiment

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23

event

any collection of outcomes from sample space of chance

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24

Union

Event A or B consists of all experimental outcomes that are in at least 1 of 2 events

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25

Intersection

Event A and B consist of all experimental outcomes

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26

Disjoint

2 events that have no common outcomes

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27

Probability distribution

List of all outcomes in sample space and their probabilities

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28

If A and B are independent events, P(A &B)

Multiply probabilities

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29

Conditional probability

Knowledge of 1 event occurring changes other events

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30

Conditional prob written as

Prob of A occuring given that B has already occured

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31

Union, or, calculate

Add individual and then subtract common

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32

Permutation

arrangement of objects where order matters

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33

Combination

arrangement of objects where order doesn’t matter

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