experimental data Flashcards

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1
Q

the independent variable is…

A

CHANGE

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2
Q

the dependent variable…

A

MEASURE

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3
Q

the control variable…

A

things you keep the same

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4
Q

what is reliability?

A

experiments that give the same data

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5
Q

what is validity?

A
  • experiments that give the same data (reliable)
  • designed to be a fair test
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6
Q

what is accuracy? how do you improve it?

A

results that are true
improve it by making measurements more accurate eg by using different equipment like a ruler in mm instead of cm

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7
Q

what is precision?

A

the results are very similar to the mean average
eg results are 12, 14, 13 so the mean is 13 is PRECISE
results are 11, 17, 14 so the results are not

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8
Q

how do you improve reliability?

A

repeat the test

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9
Q

suggest some hazards of practicals:

A
  • MICROORGANISMS - can be dangerous/make you ill
  • FIRE eg bunsen burners
  • CHEMICALS eg burning your skin, flammability
  • ELECTRICITY with electrical equipment
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10
Q

suggest some ways of reducing hazards

A
  • wear gloves
  • wear goggles
  • use a heat proof mat (fire)
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11
Q

sampling (eg quadrats)

A
  • must be random
    (because you can’t study every organism so the sample you take must be as close to the truth as possible, therefore choosing an area that is higher than normal will disrupt the results)
    eg divide the area into a grid and then choose the coordinates out of a hat
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12
Q

ethical problems in experiments

A
  • treat safely/humanely eg food, water, overcrowding
    —> wild animals should be returned after the experiment to their habitat
  • should gain consent from humans
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13
Q

results that are abnormal are called…

A

anomalous

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14
Q

discrete vs continuous data

A

discrete - set groups of data eg shoe size or the number of siblings (because you can’t have half a person)
continuous - numerical data that can be any value (2.5 or 7453765) eg length or temperature

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15
Q

qualitative vs quantitive data

A

qualitative - in words eg favourite colour
quantitative - uses numbers

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16
Q

correlation types

A
  • positive
  • negative
  • no correlation
17
Q

why do correlation exist?

A
  • chance
  • caused by an unseen variable
  • cause each other
18
Q

what is an evaluation?

A

a analysis of the practical eg
- what can be improved?
- was it a fair test?
- were there any anomalous results? if not, mention this
- was it precise, reliable, accurate, etc.

19
Q

graphwork - dependent

A

Y axis
(family)

20
Q

independent - graphwork

A

x axis
(ex)