10.5 - Quantitative investigations of variation Flashcards

1
Q

what is interspecific variation

A

when 1 species differs from another

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2
Q

what is intraspecific variation

A

when members of the same species vary from one another

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3
Q

what is sampling

A
  • taking measurements of individuals, selected from the population of organisms which is being investigated
  • these individuals should be representative of the whole
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4
Q

what is sampling bias

A
  • selection process may be biased
  • investigator may be making representing choices deliberately/unwittingly
  • e.g. only taking samples from dry areas to avoid mud
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5
Q

what is chance

A
  • even if sampling bias is avoided, the individuals may be (by chance) not representative
  • e.g. the 50 buttercups chosen might just happen to be the 50 tallest in the population
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6
Q

how do we prevent sampling bias

A

random sampling

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7
Q

how is random sampling carried out

A

1) divide study area into a grid of numbered lines
2) using random numbers from a table or generated by a computer, obtain a series of coordinates
3) Take samples at the intersection of each pair of coordinates

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8
Q

how can we completely remove chance from the sampling process

A
  • we can’t, however….
  • we can minimise it’s effects by:
    1) using a larger sample size
    2) analysis of the data collected
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9
Q

how can using a larger sample size minimise the effects of chance from the sampling process

A
  • the more individuals are selected = the smaller probability that chance will influence the result + less influence anomalies will have
  • this therefore makes the data more reliable
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10
Q

how can analysis of the data collected minimise the effects of chance from the sampling process

A
  • the data can be analysed using statistical tests to determine the extent to which chance may have influenced the data
  • these tests allow us to decide whether any variation observed is the result of chance or is more likely to have some other cause
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11
Q

describe the features of a normal distribution curve

A
  • bell-shape = shows continuous variation
  • symmetrical around a central value (but can occasionally be slightly shifted to one side = called a skewed distribution)
  • there are 3 terms associated with these:
    1) mean
    2) mode
    3) median
    –> all these 3 are found in the same place in a normal distribution curve, but not a skewed distribution
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12
Q

what’s the mean

A

it’s the sum of the sampled values divided by the number of items

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13
Q

what’s the mode

A

the single value of a sample that occurs most often

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14
Q

what’s the median

A
  • the central or middle value of a set of values
  • requires arranging the values in ascending order
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15
Q

what are the ways that normal distribution curves will vary/stay the same

A

same:
- have the same basic ‘bell-shape’

vary:
- its maximum height
- its maximum width

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16
Q

describe what the mean is in relation to a normal distribution curve

A
  • it’s the measurement at the maximum height of the curve
  • it’s useful to compare averages between samples
  • However, it doesn’t provide any info about the range of values within a sample
17
Q

describe what the standard deviation is in relation to a normal distribution curve

A
  • it’s the measurement at the width of the curve
  • gives an indication of the range of values either side of the mean
  • A standard deviation is the distance from the mean to the point where the curve changes from being convex to concave
  • 68% of all the measurements lie within +/- 1.0 standard deviation
  • increasing this width to almost +/- 2.0 (actually +/-1.96) standard deviation takes in 95% of all measurements
18
Q

what is the formula for standard deviation

A
19
Q

how many significant figures do you normally round to

A
  • 3
  • but always use the same significant figures as given in the Q. Only do it to 3 if you are unsure
20
Q
A
21
Q

What are sessile animals

A

Animals that dont move (non motile)

22
Q

How do you calculate the estimated population size from a mark-release-recapture

A
23
Q

What are the assumptions made for using the Mark-release-recapture technique

A

1) the portion of unmarked to marked individuals in the 2nd sample is the same as in the population as a whole
2) Marked individuals distributed themselves evenly among the rest of the population and had enough time to do so
3) Definite boundaries, no immigration/emigration
4) few deaths (if any) and births in the population
5) method of marking os non-toxic and doesn’t make the animal more conspicuous and more liable to predation
6) the mark, or label isn’t lost or rubbed off during the investigation