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
What is opportunity sampling
Taking sample from people who are available at time the study is carried out and who fit criteria you’re looking for.
26
Advantages of quota sampling
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
Disadvantages of quota sampling
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
Advantages of opportunity sampling
Easy to carry out Inexpensive
29
Disadvantages of opportunity sampling
Unlikely to provide a representative sample Highly dependent on individual researcher
30
What is quantitative variables/data
Variables or data associated with numerical observations
31
What is qualitative data/variables
Variables/data associated with non-numerical observations
32
What’s a continuous variable
A variable that can take any value in a given range
33
What’s a discrete variable
Variable that can take only specific values in a given range