Working Scientifically Flashcards

1
Q

Accurate

A

How close a reading is to the real anwer

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2
Q

How can we make results more precise

A

By using more precise incerments ( 9.77 instead of 9.7)
By repeating the experement to give an average

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3
Q

Independant variablei

A

Independent variable is the variable for which values are changed or selected by the investigator.

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4
Q

Dependant variable

A

Dependent variable is the variable of which the value is measured for each and every change in the independent variable.

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5
Q

Controlled variable

A

Control variable is one which may, in addition to the independent variable, affect the outcome of the investigation and therefore has to be kept constant or at least monitored.

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6
Q

Variables

A

These are physical, chemical or biological quantities or characteristics.

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7
Q

Valid conclusion

A

A conclusion supported by valid data, obtained from an appropriate experimental design and based on sound reasoning.

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8
Q

Calibration

A

Marking a scale on a measuring instrument. This involves establishing the relationship between indications of a measuring instrument and standard or reference quantity values, which must be applied. For example, placing a thermometer in melting ice to see whether it reads zero, in order to check if it has been calibrated correctly.

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9
Q

Data

A

Information, either qualitative or quantitative, that has been collected.

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10
Q

Error

A

See also uncertainty.

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11
Q

Measurement error

A

The difference between a measured value and the true value.

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12
Q

Anomalies

A

These are values in a set of results which are judged not to be part of the variation caused by random uncertainty.

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13
Q

Random error

A

These cause readings to be spread about the true value, due to results varying in an unpredictable way from one measurement to the next. Random errors are present when any measurement is made, and cannot be corrected. The effect of random errors can be reduced by making more measurements and calculating a new mean.

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14
Q

Systematic error

A

These cause readings to differ from the true value by a consistent amount each time a measurement is made. Sources of systematic error can include the environment, methods of observation or instruments used. Systematic errors cannot be dealt with by simple repeats. If a systematic error is suspected, the data collection should be repeated using a different technique or a different set of equipment, and the results compared.

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15
Q

Resolution

A

This is the smallest change in the quantity being measured (input) of a measuring instrument that gives a perceptible change in the reading.

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16
Q

Reproducible

A

A measurement is reproducible if the investigation is repeated by another person, or by using different equipment or techniques, and the same results are obtained. Previously known as reliable.

17
Q

Repeatable

A

A measurement is repeatable if the original experimenter repeats the investigation using same method and equipment and obtains the same results. Previously known as reliable.

18
Q

Range

A

The maximum and minimum values of the independent or dependent variables; important in ensuring that any pattern is detected. For example a range of distances may be quoted as either: ‘From 10 cm to 50 cm’ or ‘From 50 cm to 10 cm’.

19
Q

Prediction

A

A prediction is a statement suggesting what will happen in the future, based on observation, experience or a hypothesis.

20
Q

Interval

A

The quantity between readings, eg a set of 11 readings equally spaced over a distance of 1 metre would give an interval of 10 centimetres.

21
Q

Hypothesis

A

A proposal intended to explain certain facts or observations.

22
Q

Fair test

A

A fair test is one in which only the independent variable has been allowed to affect the dependent variable.

23
Q

Evidence

A

Data which has been shown to be

24
Q

Sketch graph

A

A line graph, not necessarily on a grid, that shows the general shape of the relationship between two variables. It will not have any points plotted and although the axes should be labelled they may not be scaled.

25
Q

True value

A

This is the value that would be obtained in an ideal measurement.

26
Q

Uncertainty

A

The interval within which the true value can be expected to lie. Whenever a measurement is made, there will always be some uncertainty or doubt about the result obtained. Uncertainty can be expressed in terms of spread of values obtained. For example, a length of 56 cm ±2 cm would mean the true value could be anywhere between 54 cm and 58 cm.

27
Q

Validity

A

Suitability of the investigative procedure to answer the question being asked. For example, an investigation to find out if the rate of a chemical reaction depended upon the concentration of one of the reactants would not be a valid procedure if the temperature of the reactants was not controlled.