Year 1 Chapter 1 Flashcards

1
Q

What is a population

A

The whole set of items that are of interest.

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2
Q

What is a census

A

Observes or measures every member of a population

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3
Q

What is a sample

A

A selection of observations taken from a subset of the population which is used to find out information about the population as a whole

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4
Q

What are advantages of a census

A

It should give a completely accurate result

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5
Q

What are advantages of a sample

A

Less time consuming & expensive than a census

Fewer people have to respond

Less data to process than in a census

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6
Q

What are disadvantages of census

A

Time consuming & expensive

Cannot be used when the testing process destroys the item

Hard to process large quantity of data

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7
Q

What are disadvantages of sample

A

Data might not be as accurate

Sample may not be large enough to give information about small subunit groups of the population

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8
Q

What is a sampling unit

A

Individual units of a population

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9
Q

What is a sampling frame

A

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

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10
Q

What are 3 methods of random sampling

A

Simple

Systematic

Stratified

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11
Q

What is a simple random sample

A

Size n

Where every sample of size n has an equal chance of being selected

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12
Q

What is lottery sampling

A

The members of sampling frame could be written on tickets and placed into a ‘hat’

Required number of tickets are drawn out

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13
Q

What are 2 method of choosing numbers randomly

A

Random number generator

Lottery sampling

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14
Q

What is systematic sampling

A

Required elements are chosen at regular intervals from an ordered list

E.g.

sample size 20 required from population of 100
Do 100/20=5 so take every 5th person

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15
Q

What is a stratified sample

A

Population divided into mutually exclusive strata and a random sample is taken from each.

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16
Q

Equation to work out the number sampled in a stratum

A

Number in stratum
——————————— x overall sample size
Number in population

17
Q

What are advantages of simple random sampling

A

Free of bias

Easy & cheap to implement for small populations and small samples

Each sampling unit has a known and equal chance of selection

18
Q

What are disadvantages of simple random sampling

A

Not suitable when population size / sample size is larger as its potentially time consuming, disruptive and expensive

Sampling frame is needed

19
Q

Advantages of systematic sampling

A

Simple and quick to use

Suitable for larger samples and large populations

20
Q

Disadvantages of systematic sampling

A

Sampling frame needed

Can introduce bias if sampling frame isn’t random

21
Q

Advantages of stratified sampling

A

Sample accurately reflects population structure

Guarantees proportional representation of groups within a population

22
Q

Disadvantages of stratified sampling

A

Population must be clearly classified into distinct strata

Selection within each stratum suffers from same disadvantages as simple random sampling

23
Q

What are 2 types of non-random sampling

A

Quota

Oppurtunity

24
Q

What is quota sampling

A

Interviewer/researcher selects a sample that reflects characteristics of the whole population

25
Q

What is opportunity sampling

A

Taking sample from people who are available at time the study is carried out and who fit criteria you’re looking for.

26
Q

Advantages of quota sampling

A

Allows sample to still be representative of population

No sampling frame required

Quick

Easy

Inexpensive

Allows for easy comparison between different groups within a population

27
Q

Disadvantages of quota sampling

A

can introduce bias

Population must be divided into groups, which can be costly or inaccurate

• Increasing scope of study increases number of groups, which adds time and expense

• Non-responses are not recorded as such

28
Q

Advantages of opportunity sampling

A

Easy to carry out

Inexpensive

29
Q

Disadvantages of opportunity sampling

A

Unlikely to provide a representative sample

Highly dependent on individual researcher

30
Q

What is quantitative variables/data

A

Variables or data associated with numerical observations

31
Q

What is qualitative data/variables

A

Variables/data associated with non-numerical observations

32
Q

What’s a continuous variable

A

A variable that can take any value in a given range

33
Q

What’s a discrete variable

A

Variable that can take only specific values in a given range