BIOL1611_FinalReview_2024

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48 Terms

1

Abiotic Factors

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Biotic Factors

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3

Scales at which they can exist

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energy pyramids

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food webs

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6

fractional Trophic levels (quantifying)

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7

Trophic Cascade

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8

Mean

The average is a central value that represents a group. The sum of a set of values is divided by the number of values in the set.

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9

variance

How much the data differs from the mean. How spread out the data is. The average of the squared differences between each data point and the mean. The higher the variance the higher the spread with respect to the mean.

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10

standard deviation

A measure of the amount of variation in a set of values. How much the data differs from the mean in the original units. It is the square root of the variance. The higher the standard deviation the higher the spread of the values with respect to the mean.

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11

The normal distribution

is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. It follows a bell-shaped curve.

<p>is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. It follows a bell-shaped curve. </p>
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12

Measuring things

Length , mass, volume, and temperature area, heat, pressure, etc.

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13

T-test

A statistical test used to compare the means of two groups to determine if they are significantly different from each other.

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14

P-values

True value under the null hypothesis and most likely observation

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15

Shapiro Wilks

Tests for normality. The null hypothesis assumes the data is normally distributed. Typically reject or accept null based on p-value

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16

Stabilizing selection

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17

Directional selection

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18

diversifying selection

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19

character displacement

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20

relaxed selection

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21

gene

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22

allele

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23

genotype

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24

phenotype

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25

phenotypic plasticity

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26

canalization

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27

box plots

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28

nuisance variables

a variable that can affect the outcome of an experiment but is not the main focus of the study. They can be uncontrolled sources of variation that introduce bias or noise into an experiment.

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29

microscope

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30

scale of phenotypes

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31

stomatal density

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hypothesis testing

The null hypothesis is the default position which states that there is no effect or relationship between the variables. It is the claim that researchers are trying to disprove. An alternative hypothesis is a hypothesis that researchers are trying to prove. It suggests that there is an effect or relationship between variables.

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33

cellular respiration process and equation

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34

carbonic acid formation

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35

Types of Respiration

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36

biotic and abiotic factors effecting respiration

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37

phenolphthalein as an indicator

this is used as an indicator for pH change and is an indirect measurement

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38

indirect measurements

gathering data about one or more variable to represent a second variable that is difficult to measure directly

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39

F-test

This is used to compare the variance of two groups to see if they have equal or unequal variance.

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40

F-statistic

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41

variance

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42

open vs. closed circulation

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43

choosing the appropriate model

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44

One sample t-test

difference between the means of a sample group and a standard group

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Independent samples t-test

Difference between two groups. Between subjects

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46

Paired Samples t-test

Between same individuals before and after.

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