experimental skills Flashcards

1
Q

accuracy

A

how close it is to the ‘true’ value of the quantity being measured

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2
Q

precision

A
  • refers to how closely a set of measurement values agree with each other
  • gives no indication of how close the measurements are to the true value
  • a separate consideration to accuracy
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3
Q

repeatability

A
  • the closeness of the agreement between the results of successive measurements of the same quantity being measured,carried out under the same conditions of measurement
  • These conditions include the same measurement procedure, the same observer, the same measuring instrument used under the same conditions, the same location, and repetition over a short period of time.
  • you repeating the experiment
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4
Q

reproducibility

A
  • the closeness of the agreement between the results of measurements of the same quantity being measured, carried out under changed conditions of measurement.
  • These different conditions include a different method of measurement, different observer, different measuring instrument, different location, different conditions of use, and different time.
  • a different person reproducing your results
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5
Q

true value

A

the value, or range of values, that would be found if the quantity could be measured perfectly.

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6
Q

validity

A
  • a measurement is said to be valid if it measures what it is supposed to be measuring
  • An experiment is said to be valid if it investigates what it sets out and/or claims to investigate.
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7
Q

personal errors

A

include mistakes or miscalculations

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8
Q

random errors

A
  • affect the precision of a measurement and are present in all measurements except for measurements involving counting.
  • Random errors are unpredictable variations in the measurement process and result in a spread of readings.
  • The effect of random errors can be reduced by making more or repeated measurements and calculating a new mean and/or by refining the measurement method or technique.
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9
Q

systematic errors

A
  • affect the accuracy of a measurement.
  • Systematic errors cause readings to differ from the true value by a consistent amount each time a measurement is made, so that all the readings are shifted in one direction from the true value.
  • The accuracy of measurements subject to systematic errors cannot be improved by repeating those measurements.
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10
Q

uncertainty

A
  • the uncertainty of the result of a measurement reflects the lack of exact knowledge of the value of the quantity being measured.
  • VCE Biology requires only a qualitative treatment of uncertainty. When evaluating personally sourced or provided data, students should be able to identify contradictory, provisional and incomplete data including possible sources of bias.
  • it IS NOT errors
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11
Q

outliers

A
  • Readings that lie a long way from other results are sometimes called outliers.
  • Repeating readings may be useful in further examining an outlier.
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12
Q

hypothesis

A
  • A hypothesis is a statement that can be tested.
  • It must be a prediction.
  • It must be testable.
  • It must link directly to your results.
  • if… then…
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13
Q

IV and DV

A
  • A variable is simply a ‘thing that changes’.
  • An experiment needs variables, or it’s not an experiment
  • The independent variable is not dependent on the results. It is the thing you change to set up the experiment.
  • The dependent variable is measured. It is the results. It is the thing that the experiment changes.
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14
Q

controls

A
  • A control is designed to eliminate extraneous variables.
  • A control should replicate the entire testing procedure excluding the independent variable
  • used to compare the effect of the independent variable
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15
Q

benefits of larger sample size

A
  • minimises impact of random errors
  • increases accuracy of the results
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16
Q

studies conducted

A
  • 2 studies have different questions/aims and used different methods
  • so the studies can reach different conclusions and still be valid because they aren’t the same studies
17
Q

qualitative vs quantitative data

A

Qualitative data is descriptive. Quantitative as it is expressed numerically.

18
Q

2 types of validity

A
  • internal validity refers to how successfully an experiment measures what it was intended to measure
  • external validity refers to the extent to which research findings can be generalised to a greater population
19
Q

what is the control group

A
  • control group is not subject to the independent variable
  • provides a baseline for comparing results from all experimental groups
20
Q

designing an experiment

A
  • independent variable
  • dependent variable
  • controlled variables
  • control group
  • large sample size for each test
21
Q

limitations

A
  • no access to specific equipment (e.g. not having a micropipette to collect accurate measurements)
  • inability to control variables (e.g. room temperature and humidity)
  • inability to repeat experiments to determine repeatability and reproducibility
  • not having a control
22
Q

analysing data from experiment

A
  • you can analyse the precision
  • analyse the highest and lowest data values and give reasoning for it