Investigative Biology Flashcards

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1
Q

What is the scientific cycle?

A

observation; construction of a testable hypothesis; experimental design;
gathering, recording, and analysis of data; evaluation of results and conclusions; the
formation of a revised hypothesis where necessary

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2
Q

What is a null hypothesis?

A

proposes that there will be no statistically significant effect as a result
of the experiment treatment. If there is evidence for an effect, unlikely due to chance, then the null hypothesis is
rejected

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3
Q

Scientific ideas only become accepted once they have been…

A

checked independently

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4
Q

Publishing of method, data, analysis and conclusions

A

allows repeats. Can be done via seminars, posters, talks and journals

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5
Q

Peer review

A

Experts in the field assess quality and make recommendations.

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6
Q

Review articles

A

summarises current knowledge and new findings

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7
Q

Media

A

Increases public understanding but can misrepresent findings.

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8
Q

3 R’s of ethics in animals

A

Reduce, replace, refine

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9
Q

RIC of ethics in humans

A

Right to withdraw, informed consent, confidentiality

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10
Q

What are scientific ethics influenced by?

A

regulation, legislation, policy and funding

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11
Q

Pilot study

A

Used to plan procedures, assess validity and to check techniques, then to evaluate and modify. ensures range of values for IV and repeats needed.

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12
Q

Confounding variables

A

not IV but affects the DV. Must be constant, if not possible then random block design is used

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13
Q

In vivo

A

Whole, living organism. expensive. study of complex interactions. only correlation

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14
Q

In vitro

A

Outside living cells (in cells, proteins in solution or purified organelles) CV’s controlled, both correlation and causation and is also cheaper.

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15
Q

Representative sample

A

avoids selection bias (selection in non-random way), more variable population, same mean as population

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16
Q

RSS types of sampling

A

Random: equal chances of being selected
Systematic: sampled at regular intervals
Stratified: divided into categories sampled proportionately

17
Q

Presentation of Data: Discrete

A

qualitative - subjective and descriptive

18
Q

Presentation of Data: continuous

A

quantitative - objective and numerical

19
Q

Error bars

A

indicate variability of data around mean