Statistics Y10 Probability Distributions Flashcards

(22 cards)

1
Q

what is a binomial distribution

A

a set of possible outcomes where all outcomes are independent and discrete, have the same probability of success and have a fixed number of trials

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2
Q

representation for binomial distribution

A

B(n, p)
B = binomial distribution
n = number of trials
p = probability of success

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3
Q

calculate mean of binomial distribution

A

number of trials * probability of success

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4
Q

what is n choose r (nCr)

A

number of ways of choosing r items from n choices

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5
Q

conditions for normal distribution

A
  • continuous data
  • symmetrical data
  • mode/median/mean are all the same
  • (large data set)
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6
Q

how much of the date is within 1 standard deviation of the mean

A

68%

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7
Q

how much of the date is within 2 standard deviations of the mean

A

95%

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8
Q

how much of the date is within 3 standard deviations of the mean

A

99.8%

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9
Q

calculate variance

A

standard deviation^2

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10
Q

what is variance

A

a measure of how spread out the data is

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11
Q

representation for normal distribution

A

N(μ, σ^2)
N = normal distribution
μ = mean
σ^2 = variation

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12
Q

what does a smaller variance mean

A
  • more concentrated data
  • higher peak on a graph
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13
Q

what does a larger variance mean

A
  • less concentrated data
  • lower peak on a graph
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14
Q

what is the standardised score

A

the number of standard deviations away from the mean

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15
Q

what are standardised scores used for

A

comparing two sets of data if both are normally distributed

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16
Q

calculate standardised score

A

(score - mean) / standard deviation

17
Q

what does quality assurance involve

A
  • collecting samples
  • comparing with desired standards
  • taking actions if limits not met
18
Q

where should the warning limit and action limit be

A

about 2 and 3 standard deviations away from the mean respectively

19
Q

what happens if the data is between the warning limits

A

data is acceptable

20
Q

what happens if the data is between the warning limit and action limit

A

take another sample

21
Q

what happens if the data is outside the action limit

A

take action (stop production)

22
Q

what is a control chart in comparison to a quality assurance chart

A

the same but asymmetrical