representing classification Flashcards

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1
Q

what is continuous variation

A

characteristics that can take any value within a range
- eg. mass, height, weight

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2
Q

what is discontinuous variation

A

characteristics that can only result in certain values
- eg. distinct features, blood group

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3
Q

describe the causes of variation that result in discontinuous variation

A

purely genetic

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4
Q

define polygenic

A

characteristics that are controlled by number of genes
- usually show continuous variation

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5
Q

define multifactorial

A

characteristic caused by many factors, can be genetic or environmental

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6
Q

describe the causes of variation that result in continuous variation

A

multiple genes (polygenic) & influenced by environmental factors

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7
Q

state the types of graph used to represent continuous and discontinuous variation

A

continuous: line graph
discontinuous: bar chart

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8
Q

define mean

A

average value in a data set

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9
Q

define mode

A

most common value in a data set

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10
Q

define median

A

middle value in a data set

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11
Q

state 4 characteristics of a normal distribution curve

A
  • mean, mode, median are the same
  • bell shape distribution, symmetrical about mean
  • 50% of values less than mean, 50% greater than mean
  • most values lie close to mean value, number of individuals at extremes is low
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12
Q

define range

A

different between largest value and smallest value

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13
Q

define standard deviation

A

measure of how spread out data is

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14
Q

describe the usefulness of standard deviation over range

A

ranges uses only extreme values whereas SD uses all values in data set

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15
Q

state the type of graph used to show whether there is a correlation between two variables

A

scatter graph

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16
Q

define correlation

A

statistical relationship between two variables

17
Q

explain why there can be correlation between two variables without there being a direct causal link.

A

there could be a missing third variable that links the two

18
Q

explain what statistical tests are used for

A

used to determine significance of data

19
Q

define null hypothesis

A
  • prediction that there is no significant difference between specified populations
  • represents “status quo belief”, such as absence of a characteristic or lack of an effect
20
Q

explain what a test statistic is

A

random sample from population
- used to decide whether or not to reject the null hypothesis

21
Q

explain what a p-value is

A

probability of obtaining test results at least as extreme as the test statistic, assuming the null hypothesis is correct

22
Q

describe what the students t-test is used for

A
  • to compare the means of data values of two populations
  • eg - determining whether there is statistical significance between length of ivy grown in light vs in shade
23
Q

describe what a spearman’s rank correlation test is used for

A
  • to consider the relationship between two sets of data
24
Q

describe what a paired or unpaired t-test is used for

A
  • paired - determine if significant difference between means of two codependent samples
  • unpaired - determine if significant difference between means of two independent samples