CHAPTER 8 Flashcards

1
Q

What is a probability distribution?

A
  • a list of all possible outcomes together with their probabilities
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2
Q

what is the notation for binomial distribution?

A
  • B(n, p)
  • n= trials
  • p= probability of success
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3
Q

conditions needed for a binomial distribution:

A
  • fixed number of trials
  • trials are independent
  • two possible outcomes for each trial (success and failure)
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4
Q

probabilities for binomial distribution expansion:

A

(p + q) ^n
p= success
q= failure
n= trials

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5
Q

what is the mean of binomial distribution?

A

np

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6
Q

what do the coefficients of a binomial expansion follow?

A
  • follow the pattern of Pascal’s triangle
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7
Q

how can you find the coefficients of a binomial expansion?

A
  • using the nCr button on a calculator
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8
Q

what does a normal distribution look like?

A
  • bell shaped
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9
Q

conditions needed for a normal distribution:

A
  • data is continuous
  • distribution is symmetrical and bell- shaped
  • the mode, median and mean are approximately equal
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10
Q

notation for normal distribution:

A

N( u(mew), o^2)
u (mew)= mean
o^2= variance

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11
Q

standardised score equation:

A

score- mean/ standard deviation

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12
Q

what is quality assurance?

A
  • involves checking samples to ensure that the product of a manufacturing process meets the required standard
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13
Q

what can you construct if you take samples at regular intervals?

A
  • control charts
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14
Q

what is a control chart?

A
  • a time series chart that is used for quality assurance
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15
Q

where are warning limits set?

A

u (mew) ±2o (o with line)

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16
Q

where are action limits usually set?

A

u (mew) +_ 3o (o with line)
- if the sample mean is between the action and warning limits then another sample is taken immediately to see if there might be a problem
- if a sample mean is outside the action limits the process is stopped and the machinery is reset

17
Q

important properties of a normal distribution:

A
  • 68% of observations lie within +_ one standard deviation of the mean
  • 95% of observation lie within +_ two standard deviations from the mean
  • 99.8% of observations lie within +_ three standard deviations of the mean
18
Q

what is the variance of a normal distribution?

A
  • a measure of how spread the data is
  • variance= (standard deviation)^2