10.5 - Quantitative investigations of variation Flashcards
what is interspecific variation
when 1 species differs from another
what is intraspecific variation
when members of the same species vary from one another
what is sampling
- taking measurements of individuals, selected from the population of organisms which is being investigated
- these individuals should be representative of the whole
what is sampling bias
- selection process may be biased
- investigator may be making representing choices deliberately/unwittingly
- e.g. only taking samples from dry areas to avoid mud
what is chance
- 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
how do we prevent sampling bias
random sampling
how is random sampling carried out
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
how can we completely remove chance from the sampling process
- we can’t, however….
- we can minimise it’s effects by:
1) using a larger sample size
2) analysis of the data collected
how can using a larger sample size minimise the effects of chance from the sampling process
- 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
how can analysis of the data collected minimise the effects of chance from the sampling process
- 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
describe the features of a normal distribution curve
- 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
what’s the mean
it’s the sum of the sampled values divided by the number of items
what’s the mode
the single value of a sample that occurs most often
what’s the median
- the central or middle value of a set of values
- requires arranging the values in ascending order
what are the ways that normal distribution curves will vary/stay the same
same:
- have the same basic ‘bell-shape’
vary:
- its maximum height
- its maximum width