Module 1 Flashcards

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1
Q

What is required to prove a hypothesis or theory?

A

Quantitative and Qualitative results, from experiments, supporting the theory or hypothesis

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2
Q

What are the 4 steps to do a successful experiment?

A

Planning
Implementing
Analysing
Evaluation

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3
Q

What are the 5 steps to Plan an experiment?

A

Identify all variables that must be controlled.
Select appropriate apparatus and equipment
Select appropriate scientific techniques
Use scientific knowledge to formulate a hypothesis
Evaluate your method to check it’s validity

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4
Q

What is valid data?

A

Data that answers the original question by making use of appropriate equipment and procedures.

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5
Q

Why is a rheostat commonly used in experiments containing electrical equipment?

A

It is used to make sure current from power source is of adequate size, so as not to harm or degrade the equipment.

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6
Q

What is a good range of independent variables used and how many repeats should you do?

A

You should use at least six independent variables add repeat each measurement thrice for each independent variable.

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7
Q

How do you evaluate your methods, during planning, and why should you?

A

After writing your method you can check and see if you can increase resolution of results by choosing more appropriate equipment, maybe control other factors better. Or maybe better understand and prevent mistakes in the techniques you are using.

You should do this in order to minimise percentage uncertainty and get a more valid and accurate result

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8
Q

For what lengths should you use a vernier calliper and a micrometer screw gauge?
What are their absolute uncertainties?

A

Use callipers for lengths up-to 12 cm

Use screw gauge for lengths up-to 20mm

Uncertainty is their resolution, so 0.01cm for callipers and 0.01mm for screw gauge

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9
Q

What error may analogue equipment lead to that digital equipment doesn’t?

A

Parallax error

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10
Q

How can you minimise parallax error?

A

View the reading at right angles, at 90 degrees

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11
Q

How to accurately present data in tables and graphs?

A

For tables give headings and write appropriate units alongside them. Leave space for repeats and processing of data.

For Graphs, label the independent variable on the x axis and the dependent on the y axis alongside appropriate units.
Choose an appropriate scale and cover the whole graph with data points.
Make lobf, use appropriate sig figs,
Use sharp pencil to be more accurate
Give title

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12
Q

How can you process and analyse experimental data?

A

Take means, find gradients of straight lines and tangents of curves, use graph equations, find area under graph, find percentages

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13
Q

What equation is used to manipulate data in graphs?

A

y=mx+c

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14
Q

How many sig figs or decimal places should you use to represent data in experiments?

A

You should use the equipment with the highest resolution as a benchmark for sig figs and decimal places, unless stated otherwise.

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15
Q

Do accurate results have higher a percentage difference than percentage uncertainty? Explain.

A

No, Accurate results have a higher percentage uncertainty than percentage difference. As this would mean that the range of values (in the margin of error) above and below the given answer, according to the given percentage uncertainty, also include the True value.

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16
Q

Do accurate results have higher a percentage difference than percentage uncertainty? Explain.

A

No, Accurate results have a higher percentage uncertainty than percentage difference. As this would mean that the range of values (in the margin of error) above and below the given answer, according to the given percentage uncertainty, also include the True value.

17
Q

What 4 things can you do to evaluate an experiment and it’s results?

A

1) Compare result with a true value, check if percentage uncertainty is greater than percentage difference to comment on accuracy.
2) For graphs, comment on the scatter of points on graphs, as the lesser the scatter the higher the degree of correlation between the two variables. Comment both qualitatively and quantitatively.
3) Comment on precision of measurements
4) Identify Anomalies and state that they were rejected.

18
Q

What are limitations of experiments and how can you improve upon them?

A

There can be various limitations but you can check for systematic errors, comment on random errors, identify sources of error, try to control variables better, use equipment with higher resolution and precision, etc