Quantitative investigations of variation Flashcards

(17 cards)

1
Q

What is interspecific variation?

A

Interspecific variation is the difference between members of different species

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2
Q

What intraspecific variation?

A

Intraspecific variation is the difference between individuals of the same species

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3
Q

Why do even genetically identical organisms differ?

A

This is because of the different environments and experiences they are exposed to during their lives

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4
Q

Why is measurement particularly challenging for biologists?

A

This is because living organisms are all different, making it harder to get consistent measurements

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5
Q

Why do biologists take many measurements of the same thing?

A

To get more reliable and representative understanding of variation within a species

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5
Q

Why don’t biologists measure every individual in a population?

A

It is impractical or impossible to measure every organism, especially in large populations

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6
Q

What method do biologists use to deal with variation in populations?

A

They take samples to estimate characteristics of the whole population

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7
Q

What is sampling in biology?

A

Sampling involves taking measurements of individuals selected from a population to estimate characteristics of the whole population

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8
Q

What are the two main reasons why a sample might not be representative?

A

Sampling bias and chance

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9
Q

What is sampling bias?

A

When the selection process is not random and leads to unrepresentative samples, either intentionally/unintentionally

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10
Q

What is one method to avoid sampling bias, then describe it

A

Random sampling
Divide the study area into a grid using tape measures, then use random numbers to select coordinates for sampling

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11
Q

Can chance be completely removed from sampling, how can the effect of chance in sampling be minimised?

A

No, but its effect can be minimised by using a large sample size and analysing the data using statistical tests

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12
Q

Why does a larger sample size reduce the influence of chance?

A

This is because anomalies have less impact and its less likely all samples will be unrepresentative

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13
Q

Why is the mean sometimes misleading?

A

Because it does not show how the values are distributed around

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14
Q

What is standard deviation?

A

A measure of how spread out the data is around the mean; it reflects the width of the normal distribution curve

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15
Q

What is the formula for standard deviation?

A

S = √( ∑(x- x̄)² / (n-1) )

16
Q

What does each symbol in the standard deviation formula represent?

A

x: individual measured value
n: total number of values
x with line n top: mean value