Lab - Describing a Population Flashcards

1
Q

Sampling

A

To demonstrate the power of quantitative description in ecology

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2
Q

Population

A

A group of individuals of a species living at the same time and place

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3
Q

Sample

A

A set of individuals that represent a population that is too large to fully interview

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4
Q

Bias

A

Sampling flaws that overrepresent individuals of one type and underrepresent others

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5
Q

Statistic

A

a composite numerical description which conveys information about the population in a more concise form

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6
Q

Average / mean

A

The representation of a typical individual. Can be misleading because the “typical” fish might not even be represented in the population

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7
Q

Median

A

the individual ranked at the 50th percentile when all data are arranged in numerical order

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8
Q

Mode

A

The most commonly observed statistic in a sample

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9
Q

Histogram

A

a simple graphic representation of the way individuals in the population vary

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10
Q

Normal distribution

A

A bell shaped curve of distribution where the extremes are at either end and the most common forms fall in great amounts

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11
Q

Parametric statistics

A

Models and tests based on normal distribution

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12
Q

Non-parametric tests

A

If the histogram of variation is lopsided, has more than one peak, or is too broad or too narrow, then parametric tests cannot be used.

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13
Q

Sample size

A

The larger the sample size, the more closely represented the population is.

n= size of the sample
N= size of the entire population
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14
Q

Standard deviation

A

A statistic that measures the amount of variation around the mean

s= the standard deviation of the sample
o= the standard deviation of the whole population
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15
Q

The variance

A

The square of the standard deviation. S^2 = sample variation and o^2 is the population variance. Calculation of the variation is based on the difference between each observation and the mean.

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16
Q

Standard error and its equation

A

a measure of the reliability of the mean. SE = s/sqrt(n). Where SE is the standard error of the mean, s is the standard deviation of the sample and n is the sample size.

17
Q

Functional constraints

A

Limits on size and shape affecting performance of a biological trait

18
Q

Stratified sample

A

A sampling plan that includes the same number of samples from each source in the research area