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Some basics…….. Some basics……. A picture or listing outcomes helps Find the probabilities of throwing: a double a total of 10 a double or a total.

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Presentation on theme: "Some basics…….. Some basics……. A picture or listing outcomes helps Find the probabilities of throwing: a double a total of 10 a double or a total."— Presentation transcript:

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2 Some basics…….

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4 A picture or listing outcomes helps
Find the probabilities of throwing: a double a total of 10 a double or a total of 10 at least one 6

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6 B/A means B once A has happened

7 1. If a ball is selected and then replaced… Events are independent
3 white and 7 blue balls in a bag 1. If a ball is selected and then replaced… w w b w b b Events are independent

8 1. If a ball is selected and then replaced… Events are independent
3 white and 7 blue balls in a bag 1. If a ball is selected and then replaced… WW = 3/10 x 3/10 = 9/100 3/10 w w 3/10 7/10 b 3/10 w 7/10 b 7/10 b Events are independent

9 2. If a ball is selected but not replaced…
2/9 WW = 3/10 x 2/9 = 6/90 w w 3/10 7/9 b 3/9 w 7/10 b 6/9 b Events are dependent

10 involve two classifications
The results of a survey of 250 customers at a jeans store can help us in marketing: MARGINAL PROBABILITIES are found on edge of table P(F) = 100/250 = 0.4 JOINT PROBABILITIES involve two classifications P( M and 30+) = 50/250 = 0.2

11 Condition <30

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14 Prob of A after B has happened
Prob A * conditional prob of B after A has happened Total prob of B Do not panic! The formula you find in text books look complicated but using a tree diagram is straightforward and gives the same answer!

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16 Conditional probs P(ND/C) .95 nd =0.855 c .9 ND .05 d =0.045 0.935 .8 nd =0.08 .1 D nc 0.065 .2 d =0.02

17 Sampling: If you pick out a non-defective item, the probability of the process being in control is: P(C/ND) = 0.855/0.935 = i.e. 91.4% If you pick out a defective item, the probability of the process being in control is: P(C/D) = 0.045/0.068 = i.e. 66.2% The Prior probability of 0.9 is up-dated according to sample state

18 Analyse the following data using different probabilities.
What is the relationship between age, dress and buying behaviour?

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20 Sub-totals are useful….

21 The following information comes from the same store, but for male buyers.
Analyse the data using a tree diagram and Bayes. Who should the shop assistant target?


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