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Sampling methods Flashcards

(11 cards)

1
Q

what are the conditions for an accurate sample?

A
  • Unbias

- Representative of the population

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2
Q

What will samples always have?

A

-Sampling error or variation due to sampling

→Because we are looking at a part of the population not whole

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3
Q

Random sampling

A

-List the members and choose random numbers to decide which members are in the sample

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4
Q

☺Advantages of random sampling

A
  • Can be used with large sample of population
  • Avoid bias
  • Representative result
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5
Q

☹Disadvantages of random sampling

A

-Can lead to poor representation of overall population or area of large areas are not hit by random numbers generated

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6
Q

Systematic sampling

A

-Starting from random in the population or points and then systematically take numbers at a certain number apart. (e.g. every 20 people, 10 meters or every 5 minutes to be sampled)

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7
Q

☺Advantages of systematic sampling

A
  • A good coverage of the studied area

- Can be more easily achieved and more straight forward than random sampling

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8
Q

☹Disadvantages of systematic sampling

A

-More bias as not all members or points have an equal chance of being sampled

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9
Q

Stratified sampling

A
  • Stratas (groups) are chosen specifically to represent different characteristics within the population
  • And then within each group a random sample is taken
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10
Q

☺Advantages of stratified sampling

A
  • Unbias and representative sample

- comparisons can be made between stratas

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11
Q

☹Disadvantages of stratified sampling

A
  • If stratas are inaccurate results will be unreliable

- Depending on the time of day certain people might not be present

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