10.6 representing variation graphically

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6 Terms

1
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discontinuous variation

  • a characteristic that can only result in certain values

  • often variation determined purely by genetic factors

  • eg. sex, shape of bacteria, human blood groups

  • may be shown by a bar chart or pie chart

2
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continuous variation

  • characteristic that can take any value within a range

  • there is a graduation between one extreme to another of a characteristic - this is known as a continuum

  • eg. height and mass

  • characteristics that show continuous variation are often controlled by many genes as well as environmental factors

  • data with continuous variation can be collected in a frequency table and plotted in a histrogram

3
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normal distribution curve

  • the mean, mode and median are the same

  • the distribution has a characteristic ‘bell shape’ which is symmetrical around the mean

  • 50% of values are less than the mean and 50% of values are over the mean

  • most values lie extremely close to the mean value - the number of individuals at the extremes is very low

4
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standard deviation

  • a measure of how spread out the data is

  • the greater the standard deviation is, the greater the spread of data

  • in terms of variation, a characteristics which has a high standard of deviation has a large amount of variation

5
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spearmans rank correlation coefficient

  • no correlation - no relationship between the data

  • positive correlation - as one set of data increases in value, the other set of data decreases in value

  • negative correlation - as one set of data increases in value - the other set of data decreases in value

<ul><li><p>no correlation - no relationship between the data</p></li><li><p>positive correlation - as one set of data increases in value, the other set of data decreases in value</p></li><li><p>negative correlation - as one set of data increases in value - the other set of data decreases in value</p></li></ul><p></p>
6
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students t test

  • used to compare the mean values of two sets of data

  • to use this test the data must be normally distributed and enough data must be collected to give a reliable mean