Types of sampling 11.2 Flashcards

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1
Q

what is meant by sampling

A
  • method of investigating the abundance and distribution of species and populations.
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2
Q

what is the function of sampling

A
  • used to estimate number of organisms in area without having to count them all.
  • used to measure frequecny of characteristic in population
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3
Q

How can sampling be used to measure the characteristics of an organism

A
  • by measuring characteristic of many organisms and calculating average can get accurate general value
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4
Q

what are the 2 types of sampling

A

random and non-random

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5
Q

what is meant by random sampling

A
  • each individual in the population has equal likelihood of selection
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6
Q

what are the steps of taking a random sample

A

1) Mark out a grid using 2 tape measures laid at right angles
2) Use random numbers to determine the x and y coordinate on your grid
3) Take a sample at each of the coordinate pairs generated

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7
Q

what is meant by non-random sampling

A

the sample is not chosen at random.

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8
Q

What are the 3 methods of non-random sampling

A
  • Opportunistic
  • Stratified
  • systematic
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9
Q

What is Opportunistic sampling

A
  • uses organisms that are conveniently available
  • weakest from of sampling as may not represent population well
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10
Q

what is Stratified sampling

A
  • populations can be divided into strata (sub groups).
  • random sample taken from each of these Strata proportional to its sizein overall population
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11
Q

what is systematic sampling

A
  • areas within habitat are seperated and sampled independently
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12
Q

what does a line transect involve in terms of sampling

A
  • marking a line along the ground between 2 poles and taking samples at specified points
  • can be describing organisms that touch the line (within distance from line)
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13
Q

what does a belt transect involve interms of sampling

A
  • 2 parallel lines are marked, samples are taken of the area between the 2 lines
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14
Q

what are some things that could effect the reliability of sampling

A
  • Sampling bias
  • chance
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15
Q
  • How can sampling bias effect the reliability of sampling
  • How can bias be removed from the sampling process
A
  • can lead to results that dont represent population
    ^segments may be excluded
  • bias can be accidently or deliberate
  • bias reduced when using random sampling
    ^where human involvement in choosing the samples is removed
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16
Q

how can chance be minimised while sampling

A
  • Larger sample sizes minimize the impact of chance on sampling
  • ^increases reliability by reducing possibility of chance influencing the outcome.