samples and populations 1 Flashcards

1
Q

what is the range of probability

A

0.00 - 1.00

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2
Q

what is an analytic view in probability

A

the normal way of just once then doing maths and finding the probability

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3
Q

what is a frequentist view of probability

A

sampling with replacement in large number of draws and then find about 705` result in X

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4
Q

If an event can occur in A ways and can fail to occur in B ways and all outcomes are equally likely then what is the formula

A

p(event A) = A/(A+B)

p(event doesn’t occur) = B/(A+B)

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5
Q

what does mutually exclusive mean

A

Occurrence of one event precludes the occurrence of the another event
aka you cant be a part more than one year group

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6
Q

what does independent event mean

A

Occurrence of one event has no effect on the probability of the occurrence of another event
e.g. die rolling

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7
Q

what rule does mutual exclusion employ

A

additive rule

OR

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8
Q

what is the additive rule

A

the probability of occurrence of one event or another is equal to the sum of their separate probabilities
OR

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9
Q

what rule do independent events employ

A

multiplicative rule

AND

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10
Q

what is the multiplicative rule

A

The probability of the joint occurrence of two or more independent events is the product of their individual probabilities
AND

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11
Q

What is the AND vs OR probability rule

A

if AND is used then to work out prob of 2 events happening you MULTIPLY
if OR is used then to work out prob of either 2 happening you ADD probs

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12
Q

additive rule: what happens when p(A or B) are not mutually exclusive

A

Probability of the occurrence of some particular events is included twice, so one must subtract it from the total probability
p(A or B) = p(A) + p(B) – p(A and B)

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13
Q

Multiplicative rule: What happens if p(A and B) are not independent?

A

there’s a conditional probability: Probability of one event given the occurrence of another p(B|A)
e.g. without replacement= dependent events

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14
Q

define combinations; what do you use for them

A

Number of ways to arrange a subset of objects; computational formula

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15
Q

what is N in the computational formula

A

number of events

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16
Q

what is r in the computational formula

A

number of e.g. successes

17
Q

what is ! in the computational formula

A

factorial; multiply the number by all smaller integers

18
Q

what is binomial distribution used for

A

calculating combinations and prob for any one combo of getting r out of N ; deals with a situation in which a number of independent trials results in mutually exclusive events.

19
Q

what happens when N , the number of events in binomial is large

A

binomial distribution = normal distribution