se notation Flashcards

1
Q

population

A

the whole set of items that are of interest

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2
Q

census

A

observers or measures every member of a population

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3
Q

a sample

A

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

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4
Q

indiuviual units of a population are know as what

A

sampling units

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5
Q

spampling frame

A

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

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6
Q

a simple random sample

A

size n is one where every sample size n has an equal chance of being selected

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7
Q

systematic sampling

A

the required element are chosen at regular intervals from an ordered lists

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8
Q

quota sampling

A

an interviewer or researcher selects a sample that reflects the characterises of the whole population

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9
Q

stratified sampling

A

the population is divided into mutually exclusive strata and a random sample is taken from each

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10
Q

number sampled in a stratum formula

A

number in stratum divided by population x overall sample size

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11
Q

advantage of census

A

it should give a completely accurate result

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12
Q

disadvantage of census

A

time consuming and expensive
cannot be used when the testing process destroys the item
hard to process large quantity of data

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13
Q

advantage of sample

A

fewer people have top respond
less data to process than in a census
less time conbsuyming and expensive than a census

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14
Q

disadvantage of sample

A

the data may not be accurate

may not be large enough to give info about small sub groups of population

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15
Q

advantage of simple random sampling

A

free of bias
easy and cheap to implement for small population and small samples
each sampling unit has a known and equal chance of selection

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16
Q

disadvantage

A

not suitable when population size or the sample size is large as it its potentially time consuming, disruptive and expensive
a sampling frame is needed

17
Q

systemic sampling advantage

A

simple and quick to use

suitable for large samples and large populations

18
Q

systemic sampling disadvantage

A

a sampling frame needed

it can introduce bias if the sampling frame is not random

19
Q

stratified sampling advantage

A

sample accuracy reflects the population structure

grates proptionasl representation of groups within population

20
Q

stratified sampling disadvantage

A

population must be creamy classified into distinct strata

selection within each stratum suffers from the same disadvantage as simple random sampling

21
Q

quota sampling advantage

A

allows a small sample to still be repressive go the population
no sampling frame needed
quick easy and inexpensive
allows for easy comparison between different groups within a population

22
Q

quota sampling disadvantage

A

non random 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

23
Q

opportunity sampling advantage

A

easy to carry out

inexpensive

24
Q

opportunity sampling disadvantage

A

unlikely to provide a representative sampling

high;y dependent on indivuial researcher