paper 1 - analysis of data Flashcards

1
Q

define population

A

consists of all members in the group being considered

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2
Q

define representative

A

reflecting the whole population

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3
Q

define discrete data

A

can take only an exact value

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4
Q

define continuous

A

data can take any value in a range

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5
Q

define qualititative

A

descriptive

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6
Q

define quantitative

A

numerical and may be discrete or continuous

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7
Q

define random sampling

A

equal chance of being chosen, e.g. drawing names out of a hat

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8
Q

define systematic sampling

A

a starting point is chosen then every nth is selected

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9
Q

pros of systematic sampling

A

simpler and quicker

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10
Q

cons of systematic sampling

A
  • may be unrepresentative if theres a pattern

- not equal chance of selection

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11
Q

define quota sampling

A

population is divided into groups a given number is surveyed from each group

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12
Q

cons of quota sampling

A

not random

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13
Q

pros of quota sampling

A

cheap and quick to carry out

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14
Q

define stratified sample

A

population is divided into quotas then sample is chosen from each category - sample is in proportion to size of each category in population

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15
Q

define convenience sample

A

could be the first x number of people the interviewer meets

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16
Q

pros of convenience sample

A

quick and cheap

17
Q

cons of convenience sample

A

highly likely the sample is unbiased or unrepresentative

18
Q

define cluster sample

A

population is divided into groups or clusters - group is chosen and every item in this group is chosen

19
Q

pros of cluster sample

A

a large number of small clusters minimises the chances of being unrepresentative

20
Q

define opinion polls

A

large scale opinion polls often use a combination of cluster and quota sampling

21
Q

pros of opinion polls

A

not biased

22
Q

cons of opinion polls

A
  • disadvantage of conclusions drawn from opinion polls is that opinions may change over time
  • large population but often based on a small proportion of the population
23
Q

how to find the interquartile range

A

IQR = UQ - UQ

24
Q

advantages of the range

A

easy to find

25
Q

disadvantages of the range

A

affected by extreme values

do not use all of the values of the data

26
Q

advantages of IQR

A

not affected by extreme values

27
Q

disadvantages of IQR

A

does not use all of the data

may not give a fair comparison if one dataset has more values than the others

28
Q

advantages of standard deviation

A

uses all of the data

gives a fair comparison when one dataset has more values than the other

29
Q

disadvantages of standard deviation

A

more difficult to calculate

30
Q

to draw a histogram 2

A
  • subtract class boundary to find class width

- if not equal , divide each frequency by class width to give frequency.