representing variation graphically

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20 Terms

1
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what is discontinuous variation

when a characteristic only results in certain values

2
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what type of variation falls into the category of discontinuous variation

genetic variation- variation that is determined by genetic factors

3
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give 2 examples of characteristics that shows discontinuous variation

  1. an animal’s sex → only 2 possible functional values → male and female

  2. human blood groups

4
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how is discontinuous variation normally represented

using a bar chart

( a pie chart can also be used)

5
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what is continuous variation

a characteristic that can take any value within a range

6
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what is different about characteristics that show continuous variation compared to discontinuous

  • the characteristics that show continuous variation aren’t controlled by a single gene but many genes (polygenes)

  • they are also often influenced by environmental factors

7
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how is data that shows continuous variation collected

  • it is collected in a frequency table

  • is then plotted on a histogram

  • and a curve is drawn into the graph to show a trend

8
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what is a normal distribution curve

when the continuous variation data that is plotted on the graphs produces a bell-shaped curve

9
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how is the data distributed on a normal distribution curve

it is distributed normally

10
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what are the characteristics of normal distribution

  • mean, mode and median are the same

  • distribution has a ā€˜bell-shape’ that is symmetrical about the mean

  • 50% of values are less than the mean

  • 50% of values are greater than the mean

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

11
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what is standard deviation

the measure of how spread out the data is

12
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if the standard deviation is greater what does it mean

it means that the spread of the data is greater

13
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what does a characteristic that has a high standard deviation mean in terms of variation

that is has a large amount of variation

14
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what are other examples of statistical test

  • unpaired student t-test

  • spearman rho correlation coefficient

15
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when is unpaired student t-test used

usd to compare means of 2 populations (or 2 means of a set of data)

16
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when is the spearman rho correlation coefficient used

to consider the relationship between two sets of data

17
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what are the conditions of the student t-test

  • the data that is collected have to be normally distributed

  • there should be enough data collected to calculate a reliable mean

18
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what does it mean if 2 sets of data show no correlation

it means that there is no relationship between the data

19
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what does it mean if 2 sets of data show a positive correlation

it means that as one set of data increases in value, the other set of data also increases in value

20
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what does it mean if 2 sets of data show a negative correlation

it means that as one set of data increases in value, the other set of data decreases in value