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Key Points for ISAs

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Repeated results are not needed if there is a clear pattern. ... Possible Systematic error e.g. no batteries but voltmeter has a reading. Random error ... – PowerPoint PPT presentation

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Title: Key Points for ISAs


1
Key Points for ISAs
  • In the last ISA a number of weakness were shown
    by pupils.

2
Tables
Independent variable
Dependent variable
B
A
Temp of water /oC
Time to react /s
Heading and units
21 34 56 74 97
Range 21-97oC 76oC
The range is good if it has an appreciable effect
on the outcome (the dependent variable)
3
Conclusion
  • This is how B is affected by A

4
Repeating results
  • This improves the reliability of the results.
  • Repeated results are not needed if there is a
    clear pattern.
  • If results are repeated then the results table
    should show them and the mean.
  • Anomalous results should be ignored and the
    others averaged.

5
Sensitivity
  • This is the smallest change that the measuring
    equipment can measure.
  • More sensitive equipment (or more divisions) will
    give more precise results.

6
Reliable
  • Repeating measurements and comparing to other
    groups who have used a similar range improves
    reliability.

7
Preliminary Tests
  • These are carried out to determine a suitable
    range for the independent variable.

8
Identifying Overcoming Errors
  • E.g. Systematic

Zero error zero input give a reading
A 0 2 4 6 8
B 8 12 17 22 34
Every result affected systematic error
Adjust every result by deducting 8
9
Overcoming Errors (Random)
  • E.g.

Here, there is a clear pattern but 27 does not
fit, therefore this is a random error. It is an
anomalous point.
A 2 4 6 8 10
B 5 10 27 20 25
How can we overcome this?
By repeating the measurement ignore the
anomalies when averaging or drawing graphs.
10
Errors
Possible Systematic error e.g. no batteries but
voltmeter has a reading
Random error
11
Graphs (good use of graph paper)
Pencil
Dependent variable e.g. time /s
Linear scale Do not place numbers on here
randomly
Units
Independent variable e.g. temperature /oC
12
Graphs
  • Continuous variables give line graph
  • Categoric variables give bar chart
  • Continuous variable, use linear scale and create
    a line graph, therefore it is better than a bar
    chart.
  • Anomalous results should be ignored on the
  • graph.
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