AS Statistics Flashcards

1
Q

Population

A

The whole set of items that are of interest

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2
Q

Sample

A

Subset of the population intended to represent the population

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3
Q

Sampling Unit

A

Each individual thing in the population that can be sampled

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4
Q

Sampling Frame

A

Sampling units of a population are individually named or numbered to form a list

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5
Q

Census

A

Data collected from the entire population

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6
Q

Advantages of a Census

A
  • should give a completely accurate result
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7
Q

Measures of Central Tendancy

A

Values to do with the centre of data e.g. mean, median and mode

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8
Q

Comparing Box Plots

A
  • IQR + context
  • Median + context (“on average”)
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9
Q

Comparing Data

A
  • a measure of location
  • a measure of spread
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10
Q

Bivariate Data

A

Data which has pairs of values for two variables

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11
Q

Casual Relationship

A

Two variables have a casual relationship if a change in one variable causes a change in the other

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12
Q

Interpolation

A

Making a prediction based on a value inside the range of given data

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13
Q

Extrapolation

A

Making a prediction based on a value outside the range of given data

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14
Q

Systematic Sampling

A

Required elements are chosen at regular intervals in an ordered list

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15
Q

Stratified Sampling

A

Population divided into groups (strata) and a simple random sample carried out in each group

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16
Q

Quota Sampling

A

Divide population into groups then determine the size of each group in the sample to reflect proportions within the population. Actively choose people within each group until the quota of each group is filled

17
Q

Opportunity Sampling

A

Find people at the same time the survey is being carried out

18
Q

Random Sampling

A

Each thing in the sampling frame has an equal chance of being chosen, in order to avoid bias

19
Q

Advantages of a Census (1)

A
  • should give a completely accurate result
20
Q

Disadvantages of a Census (4)

A
  • time consuming
  • expensive
  • large volume of data to process
  • can’t be used when testing involves destruction
21
Q

Advantages of a Sample (3)

A
  • quicker
  • cheaper
  • less data to process
22
Q

Disadvantages of a Sample (2)

A
  • may not be representative
  • possible bias
23
Q

Advantages of Random Sampling (2)

A
  • bias free
  • easy and cheap to implement
24
Q

Disadvantages of Random Sampling (3)

A
  • not suitable when population size is large
  • sampling frame needed
  • may not be representative
25
Q

Advantages of Systematic Sampling (3)

A
  • simple and quick to use
  • suitable for large samples/populations
  • no bias
26
Q

Disadvantages of Systematic Sampling (2)

A
  • sampling frame needed
  • bias can be introduced if sampling frame not random
27
Q

Advantages of Stratified Sampling (2)

A
  • reflects population structure
  • guarantees proportional representation of groups within population
28
Q

Disadvantages of Stratified Sampling (2)

A
  • population must be clearly classified into distinct strata
  • selection within each stratum suffers from same disadvantages as random sampling
29
Q

Advantages of Quota Sampling (4)

A
  • allows small sample to be representative
  • no sampling frame needed
  • quick, easy and inexpensive
  • allows for easy comparison between different groups
30
Q

Disadvantages of Quota Sampling (2)

A
  • can introduce bias
  • population must be divided into groups
31
Q

Advantages of Opportunity Sampling (2)

A
  • easy to carry out
  • inexpensive
32
Q

Disadvantages of Opportunity Sampling (2)

A
  • unlikely to provide a representative sample
  • highly dependent on individual researcher