1.2 Sampling Flashcards

1
Q

What happens in random sampling?

A

» Every member of the population has an equal chance of being selected

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2
Q

What is bias?

A

» Bias is a disproportionate weight in favor of or against an idea or thing

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3
Q

What are the methods of random sampling?

A

» Simple random
» Systematic sampling
» Stratified samping

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4
Q

What are the steps to carry out a simple random sample?

A

» You need a sampling frame
» Allocate the objects to a unique number and a selection of these numbers is chosen at random

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5
Q

What are the 2 methods of choosing the numbers?

A

» Generating random numbers
» Using lottery sampling

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6
Q

What is lottery sampling

A

» The members of the sampling frame could be written on tickets and place into the hat
» The required number of tickets would then be drawn out

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7
Q

What is systematic sampling?

A

» In systematic sampling, the required elements are chose at regular intervals from an ordered list

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8
Q

What is one key thing you need to do for the first person to be chosen in systematic sampling?

A

» Has to be chosen at random, perhaps using a random number generator

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9
Q

What is stratified sampling?

A

» The population is divided into mutually exclusive strata, such as males and females
» Random sample is taken from each

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10
Q

What should the proportion of each sampled be?

A

» The same
» Do this by doing the number of people in the stratum / number in population times the overall sample size

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11
Q

What are the advantages of simple random sampling?

A

» Free of bias
» Easy and cheap to implenent
» Each sampling unit has a equal chance of selection

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12
Q

What are the disadvantages of simple random sampling?

A

» Not suitable when population size is very large, as it can be time consuming
» A sampling frame is needed

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13
Q

What are the advantages of systematic sampling?

A

» Simple and quick to use
» Suitable for large samples and large populations

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14
Q

What are the disadvantages of systematic sampling?

A

» A sampling frame is needed
» It can introduce bias if the sampling frame is not random

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15
Q

What are the advantages of stratified sampling?

A

» Reflects accurately the population structure
» Guarantees proportional representation of groups within a population

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16
Q

What are the disadvantages of stratified sampling?

A

» Population must be clearly classified into distinct strata
» Sampling frame is needed
» Not suitable when population size is very large