scientific method Flashcards

1
Q

environmental science

A

how earths environmental systems function in respect to the cycling of matter/energy

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2
Q

scientific method

A

orderly approach for gathering/accumulating knowledge that is used to learn how natural systems work

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3
Q

steps of scientific method

A

1) observation of something that cannot be immediately explained
2) research question
3) qualitative hypothesis
4) experimentation
5) statistical hypothesis
6) data collection and analysis (null hypothesis)

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4
Q

scientific hypothesis

A

must make predictions that are specific and can be supported/refuted through experimentation or additional observation

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5
Q

experiment

A

systematic approach to testing validity of a hypothesis

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6
Q

why is there no such thing as “proof”

A

always opportunity for an alternative explanation

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7
Q

scientific theory

A

integrated explanation for a set of related observations or events that is based on a series of hypotheses that have been verified multiple times by different groups

model developed from a commonly accepted scientific principle that describes the way a system works

continually evolving

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8
Q

theories explain …. not just …..

A

how, why

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9
Q

scientific law

A

always observed to be true. absolute scientific fact

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10
Q

strong interference approach

A

emphasizes formulation of multiple competing hypotheses prior to experimentation

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11
Q

statistical hypothesis

A

constructed using variables

can be null or alternative

tied to the experiment

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12
Q

variables

A

conditions with a logical set of either categorical or continuous attributes that are measured, manipulated, or controlled

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13
Q

categorical variable

A

attributes that can be grouped into discrete categories

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14
Q

continuous variable

A

variable that can take on any value

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15
Q

independent variable (explanatory)

A

goes on the x axis

explains and effects changes

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16
Q

dependent variable (response)

A

goes on y axis
response to independent variable

17
Q

alternative hypothesis

A

expressed in terms of what pattern the scientist expects to detect from the experiment

18
Q

null hypothesis

A

pattern that would occur if the null hypothesis were not true

“no change in”

tested during experimentation

19
Q

you can reject a null hypothesis when

A

you have proved the alternative hypothesis is true

20
Q

mensurative study

A

observational

experimenter does not manipulate the system

data collected in its natural state

21
Q

manipulative study

A

study in which the researcher manipulates one or more variables of interest called treatments

22
Q

treatment groups/levels

A

unique attributes associated with categorical variable

23
Q

control

A

experiment treatment that experiences the same environmental treatment as all of the other treatments, but is not exposed to the manipulated variable

24
Q

experimental unit

A

replicate

individual physical entities that are observed or manipulated

25
Q

sample size

A

number of replicates

n

26
Q

3 principles of experimental design

A

1) treatments should be replicates
2) experimental units should be individual entities
3) treatments should be randomly applied to experimental units

27
Q

ANOVA

A

t test/variance

use with categorical (discrete) treatment levels

28
Q

use regressions with

(scatter/line plot)

A

experiments that have continuous variables

29
Q

p value

A

metric that ranges from 0-1 and describes probability of rejecting a null hypothesis when it is actually true (type 1 error)

30
Q

what p value is significant

A

less than 0.05

means that you can reject the null hypothesis

31
Q

hypothesis vs theory

A

hypothesis explains why, theory explains how

theories are a mechanistic model of how something occurs

ex) theory: natural selection. explains how we got here

32
Q

alternative hypothesis is a type of

A

statistical hypothesis

33
Q

quantitative hypothesis

A

must have numbers in the dependent variable

more descriptive than statistical

34
Q

bar graphs hide experimental units in favor of

A

an average

35
Q

a statistically significant number means

A

there is a relationship other than the null hypothesis

36
Q

what do you need to be able to accept the alternative hypothesis

A

1) plotted data that matches the relationship in the alternative hypothesis
2) a significant p-value