Distributions and quality assurance Flashcards

1
Q

Define ‘probability distribution’

A

A probability distribution is a list of all possible outcomes together with their probabilities

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2
Q

What notation is used for binominal distribution, and what do the letters represent?

A

B(n,p)

  • n* : number of trials
  • p* : probability of success
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3
Q

What conditions must be met for binominal distribution?

A
  • The number of trials is fixed
  • The trials are independant
  • There are only two possible outcomes for each trial (success or failure)
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4
Q

For binominal distribution, what expresses the probability of n number of trials?

A

The espansion of (p + q)n, where n = the number of trials

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5
Q

How do you easily expand (p + q)n?

A

The numbers in front of the p’s and q’s (the coefficients), come from the corrosponding row / follow the pattern of Pascal’s triangle

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6
Q

What is the mean of a binominal distribution?

A

np

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7
Q

What calculator button can be used to find the coefficients of a binominal expansion?

A

| nCr |

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8
Q

What conditions must be met to use normal distribution?

A
  • The data is continuous
  • The distribution is symmetrical and bell-shaped
  • The mode, median and mean are approximately equal
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9
Q

What notation is used for normal distribution, and what do the letters represent?

A

N(µ,σ2)

  • µ* : mean
  • σ2 *: variance / standard deviation2
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10
Q

What is the equation for standardised score?

A

standardised score = (score - mean) / standard deviation

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11
Q

Define ‘quality assurance’

A

Qulaity assurance involves checking samples to ensure that the product of a manufacturing process meets the required standards

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12
Q

Why are sample means used for quality assurance?

A

The set of sample means will be more closely distributed than the individual values from the same population

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13
Q

What is a control chart?

A

A control chart is a time series chart that is used for quality assurance

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14
Q

What are the quality assurance warning limits?

A

µ + 2σ

µ - 2σ

95% of the sample means should lie between them

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15
Q

What are the quality assurance action limits?

A

µ + 3σ

µ - 3σ

All of the sample means should lie between them

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16
Q

What happens when a sample mean is between the warning and action limits?

A

Another sample is taken immediately to see if there might be a problem

17
Q

What happens when a sample mean goes outside the action limits?

A

The process is stopped and the machinery is reset

18
Q

What happens when a sample mean is between the warning limits?

A

Nothing

19
Q

Why are range control charts used?

A

They are used to check that the range does not vary. The range would ideally be 0, so each part produced is equal in size.

20
Q

What are the percentage boundaries for normal distributon?

A

µ +- 1σ : 68%

µ +- 2σ : 95%

µ +- 3σ : 99.8%