Experimental language and techniques Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

accurate

A

a measurement is considered accurate if it is judged to be close to the true value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

precise

A

-a precise measurement is one in which there is very little spread about the mean value

-precision depends only on the extent of random errors, and gives no indication of how close results are to the true (accurate) value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

random error

A

-unpredictable differences in results due to poor measurements being made

-usually because of not carrying out exactly the same method each time, or because of limitations of the measurement device

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

How can the effects of random errors be reduced?

A

take more readings, ignore anomalies and calculate mean value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

repeatable

A

a measurement is repeatable if the original experimenter repeats the investigation using the same method and equipment and obtains the same/precise results

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

How could you check if an experiment’s results are repeatable?

A

repeat experiment and see if the results are similar

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

reproducible

A

a measurement is reproducible if the investigation is repeated by another person using different equipment and the same results are obtained

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

systematic error

A

causes readings to be a different to the true value by a consistent amount each time

eg blood pressure measurements if just before the measurements were to be made, something always caused the blood pressure to go up (like stress)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

valid

A

the suitability of the investigative procedure to answer the question being asked

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is the difference between a zero error and a systematic error?

A

All zero errors are systematic errors, but not all systematic errors are zero errors

-zero errors are always caused by the measuring equipment (eg not pressing tare before measuring the mass of something in a container)

-systematic errors can be zero errors, or when there is a bias caused that always changes the recorded value by a certain amount (eg just before blood pressure was measured, something always caused it to go up, like stress)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

How many tests should you do in an experiment?

A

ALWAYS AT LEAST FIVE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is an anomalous result?

A

a result that doesn’t fit in with the general pattern of the other results from an experiment

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

When you are asked for the reason behind an anomalous result, what is a good backup if you can’t think of anything else?

A

-error in reading equipment
-BE SPECIFIC
-eg misread the measuring cylinder scale

Not always accepted though, for example if it is a digital meter - usually try to get something better than this

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Why are multiple readings often taken in an experiment?

A

-to spot any anomalous results
-to calculate a mean and reduce the effect of random errors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Why might using a metre rule be worse than using a digital calliper to measure something?

A

-metre rule has a lower resolution
-therefore it is less accurate

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

How do you calculate uncertainty for a set of data?

A

calculate the range and divide by 2

17
Q

What is a model?

A

an idea used to explain observations and data

18
Q

Why might scientists use different models for the same phenomena?

eg light wave-particle duality

A

different models may be appropriate to use in different situations, as one model might not explain all observations

19
Q

Why might a new model replace an old model?

A

-new evidence is seen in experiments which can’t be explained using the old model
-a new model might explain these new observations

eg Big Bang theory, nuclear model replacing Plum Pudding, geocentric to heliocentric solar system

20
Q

Why is peer review an important process?

A

it helps to detect false claims, bias, and inaccurate data to check its validity

21
Q

Why can’t these measurements show that the temperature sensor gives precise readings?

A

measurements have not been repeated for each surface to show that they cluster together closely