Experiment words Flashcards

1
Q

What does it mean if data is repeatable

A

Repeatable means if the same person does an experiment again using the same methods and equipment, they’ll get similar results

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2
Q

What does it mean if data is reproducible

A

Reproducible means that if someone else does the experiment, or a different method or piece of equipment is used, the results will still be similar

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3
Q

What does it mean if data is reliable

A

If data is repeatable and reproducible, it’s reliable and scientists are more likely to have confidence in it

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4
Q

What is a valid result

A

Valid results are both repeatable and reproducible AND they answer the original question.

Valid results come from experiments that were designed to be a fair test.

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5
Q

What is a fair test

A

To make an experiment a fair test, everything else that could affect the results should stay the same - otherwise you can’t tell if the think you are changing is causing the results or not

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6
Q

What is the independent variable

A

The independent variable is the variable you change

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7
Q

What is the dependent variable

A

The dependent variable is the variable you measure when you change the independent variable

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8
Q

What is the control variable

A

The control variable is the variable you keep the same

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9
Q

Scenario:
Find out how the current through a circuit component affects the potential difference across the component by measuring the potential difference at different currents

State the
independent variable
dependent variable
control variable

A

Independent variable
Current

Dependent variable
Potential difference

Control variable
Temperature of the component
The potential difference of the power supply

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10
Q

Why are control experiments carried out

A

Control experiments are carried out as you cannot always control all the variables

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11
Q

What is a control experiment

A

A control experiment is an experiment that is kept under the same conditions as the rest of the investigation, but doesn’t have anything one to it.

This is so you can see what happens when you don’t change anything at all.

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12
Q

What does it mean if data is accurate

A

An accurate result is a result that is very close to the true answer.

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13
Q

What does the accuracy of your results depend on

A

The accuracy of the results depends on the method - make sure you are measuring the right thing and that you do not miss anything that should be included in the measurements

E.g. estimating the volume of an irregularly shaped solid by measuring the sides isn’t very accurate because this will not take into account any gap in the object

It is more accurate to measure the volume using the eureka can

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14
Q

What does it mean for data to be precise

A

Precise results are results where the data is all really close to the mean (average) of your repeated results - data is not spread out

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15
Q

Which data set is more precise

REPEAT DATA SET 1 D.S.2
1 12 11
2 14 17
3 13 14
Mean 13 14

A

Data set 1 is more precise than data set 2 - the range for data a set 1 is smaller than the range for data set 2

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16
Q

What is a random error

A

Random errors are unpredictable differences caused by things like human errors in measuring

17
Q

Give an example of a random error and explain how it is a random error

A

Example of random error:
The errors that are made when you make a reading from a ruler are random
- This is because you have to estimate or round the distance when it is between two marks - sometimes your figure will be a bit above or below the real one.

18
Q

How to reduce the effect of random errors

A

You can reduce the effect of random errors by taking repeat readings and finding the mean. This will make you results more precise

19
Q

What is a systematic error

A

A systematic error is a measurement that is wrong by the same amount every time

20
Q

Give an example of a systematic error

A

An example of a systematic error is if you measured from the very end of your ruler instead of from the 0cm mark every time. All you measurements would be a bit small. Repeating the experiment in the exact same way and calculating a mean won’t correct a systematic error

21
Q

What won’t correct a systematic error

A

Repeating the experiment in the exact same way and calculating a mean won’t correct a systematic error

22
Q

What is a zero error

A

If a systematic error is caused by using equipment that isn’t zeroed properly, it is called a zero error

23
Q

Give an example of a zero error

A

An example of a zero error is if a mass balance always reads 1 gram before you put anything on it, all of your measurements will be 1 gram too heavy

24
Q

What is an anomalous result

A

An anomalous result is a result that doesn’t fit in with the rest at all.

You should investigate it and try to work out what happened. If you can work out what happened (e.g. you measured something wrong) you can ignore it when processing your results

Don’t include anomalous results when calculating a mean

25
Q

What is discrete data

A

Discrete data can only take exact values (usually collected by counting)
number of plants, number of protons in the nucleus of an atom, the number of marks for a physics paper

26
Q

What is continuous data

A

Continuous data can take any value in a given range (usually collected by measuring) e.g. measuring height, weight, mass, depth, length, distance
Continuous data can not be measured exactly

27
Q

What is a categoric variable

A

A categoric variable is a variable based on names or labels

Eye color
Gender
Breed of dog
Level of education

28
Q

What is a quantitative variable

A

A quantitative variable is a variable based on numeric values

E.g. number of students in a class
Number of square feet in a house
Age
Height