10.6 Representing variation graphically

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18 Terms

1

what is discrete/discontinuous variation

  • characteristic that can only result in certain values

  • no in between values

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2

genetic factors falls into what category of variation

discontinuous/discrete variation

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3

what is an example of discontinuous variation

  • an animal’s sex (female or male)

  • blood type

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4

how can discontinuous variation be represented

  • bar chart

  • pie chart

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5

what is continuous variation

  • characteristic that can take any value within a range

  • graduation in values with two extremes (continuum)

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6

what are examples of continuous variation

  • height and mass of plants and animals

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7

what are polygenes

number of genes control characteristics that show continuous variation

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8

what type of data does normal distribution use

continuous

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9

what are characteristics of a normal distribution

  • mean, mode and median are the same

  • bell-shaped and symmetrical

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10

what is standard deviation

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

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11

what percentage of values are within one standard deviation

68% of values

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12

what percentage of values are within two standard deviations

95% of values

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13

what percentage of values are within three standard deviations

99.7% of values

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14

what does the student’s t test compare

compare the means of data values of two populations

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15

what is the spearman’s rank correlation coefficient for

to consider the relationship between two sets of data

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16

when should you reject null hypothesis

  • if t-value is more than > critical value

  • due to chance

  • conclude there is a significant difference

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17

when should you accept null hypothesis

  • if t-value is less than < critical value

  • not due to chance

  • conclude there is no significant difference

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18

how to lay out answer to t-test

  • state null hypothesis

  • accept or reject null hypothesis

  • due or not due to chance

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