Sample size/Sampling Techniques

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18 Terms

1
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n

Positive

sample size is denoted by ____ and is always _____ integer

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30

100

Use no less than _____ if possible. ____ or more if you use complex statistics

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Estimating the mean/average

Estimating proportion

Slovin’s formula

3 methods in determining sample size

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Sampling frame

list of all elements in population, where samples will be drawn

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Sampling bias

problem that shows the sample are not represented

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Sampling tecniques

plan to ensure that sample will be represented

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Probability sample

Non probability sample

two types of sample

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Probability sample

it is random, known probability selection, uses sampling techniques

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Non probability sample

it is purposive, unknown probability sample, don’t use sampling techniques

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Simple random sampling

most basic where there is equal probabilities of selection

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Systematic random sapling

obtained by selecting every kth individual of population

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Stratified random sampling

separating population into non overlapping groups then obtain a simple random sample from each

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Cluster sampling

take sample from naturally occurring groups

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Multi-stage sampling

uses two or more steps to select samples

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Accidental sampling

Quota sampling

Convenience sampling

Judgement sampling

Purposive sampling

examples of non probability sampling

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Non sampling error

Sampling error

2 sources of error in sampling

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Non sampling error

error from survey process

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Sampling error

errors from using sampling