Statistics Chapter 1 - Data Collection Flashcards

Statistics 1

1
Q

Population

A

the whole set of items that are of interest

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2
Q

Sample

A

a selection (subset) of data from the population

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3
Q

Census

A

collection of all data from a whole population

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4
Q

Sampling unit

A

individual units of a population

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5
Q

Sampling frame

A

a list of individually named or numbered sampling units

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6
Q

Simple random sampling

A
  • use a random number generator or a lottery
  • every sampling unit has an equal chance of being selected
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7
Q

Advantages of simple random sampling

A
  • free of bias
  • easy and cheap
  • no prior knowledge of the population needed
  • every unit has equal chance of being selected
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8
Q

Disadvantages of simple random sampling

A
  • can be unrepresentative
  • time-consuming
  • sampling frame is required
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9
Q

Systematic sampling

A
  • the required elements are chosen at set intervals
  • the first element chosen is random
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10
Q

Advantages of systematic sampling

A
  • simple and quick
  • suitable for large populations
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11
Q

Disadvantages of systematic sampling

A
  • sampling frame is required
  • can introduce bias if sampling frame is not random
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12
Q

Stratified sampling

A
  • separate population into mutually exclusive strata (categories)
  • take a random sample from each, in the same proportion as the population (e.g. if there are 8 boys and 12 girls in a class, each strata must have a 2:3 ratio of boys to girls)
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13
Q

Advantage of stratified sampling

A
  • each strata is represented in the sample
  • more representative of the population
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14
Q

Disadvantages of stratified sampling

A
  • need to separate into distinct strata
  • same as simple random sampling within strata
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15
Q

Quota sampling

A
  • similar to stratified but not random
  • split into categories and collect data until each category has fulfilled quota (e.g., pick the first five most convenient people after walking into Sixth Form Zone)
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16
Q

Advantages of quota sampling

A
  • still can be representative of population
  • does not require sampling frame
17
Q

Disadvantages of quota sampling

A
  • can introduce bias
  • requires population to be split into categories
  • non-respondents are not recorded
18
Q

Opportunity/convenience sampling

A

find the first n samples and stop

19
Q

Advantage of opportunity/convenience sampling

A

easy and convenient

20
Q

Disadvantages of opportunity/convenience sampling

A
  • can be biased
  • can be unrepresentative
21
Q

Quantitative data

A

numerical data

22
Q

Qualitative data

A

non-numerical data

23
Q

Continuous data

A

can take any value (e.g., height, weight, density)

24
Q

Discrete data

A

can only take certain values (e.g., shoe size, number of pets)