10.6 Representing variation graphically

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18 Terms

1
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what is discrete/discontinuous variation

  • characteristic that can only result in certain values

  • no in between values

2
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genetic factors falls into what category of variation

discontinuous/discrete variation

3
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what is an example of discontinuous variation

  • an animal’s sex (female or male)

  • blood type

4
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how can discontinuous variation be represented

  • bar chart

  • pie chart

5
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what is continuous variation

  • characteristic that can take any value within a range

  • graduation in values with two extremes (continuum)

6
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what are examples of continuous variation

  • height and mass of plants and animals

7
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what are polygenes

number of genes control characteristics that show continuous variation

8
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what type of data does normal distribution use

continuous

9
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what are characteristics of a normal distribution

  • mean, mode and median are the same

  • bell-shaped and symmetrical

10
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what is standard deviation

measure of how spread out the data is (greater standard deviation, greater the spread of data)

11
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what percentage of values are within one standard deviation

68% of values

12
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what percentage of values are within two standard deviations

95% of values

13
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what percentage of values are within three standard deviations

99.7% of values

14
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what does the student’s t test compare

compare the means of data values of two populations

15
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what is the spearman’s rank correlation coefficient for

to consider the relationship between two sets of data

16
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when should you reject null hypothesis

  • if t-value is more than > critical value

  • due to chance

  • conclude there is a significant difference

17
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when should you accept null hypothesis

  • if t-value is less than < critical value

  • not due to chance

  • conclude there is no significant difference

18
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how to lay out answer to t-test

  • state null hypothesis

  • accept or reject null hypothesis

  • due or not due to chance