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IB Biology

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IB Biology Internal Assessment Processing Data (aspects 2 & 3 of DCP) – PowerPoint PPT presentation

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Title: IB Biology


1
IB Biology
  • Internal Assessment
  • Processing Data
  • (aspects 2 3 of DCP)

2
Processing raw data presenting processed data
  • To help show the trends in data Biologists
    usually have to use statistics draw graphs.
  • This is because of the variability of the
    material used as well as variation due to its
    manipulation.
  • A student could show this by calculating a
    margin of error.
  • The simplest would be plus or minus the range of
    measurements or plus or minus half the range of
    measurements.
  • If the data permits, the error margin could be
    represented by plus or minus the standard
    deviation of the mean or the standard error of
    the mean.
  • These ranges may be expressed as error bars on
    graphs. Though this is not obligatory

3
The three written parts of Processing
  • If you calculate something from the data
  • (eg averages, standard deviation, rate of
    reaction)
  • Write a paragraph explaining why you are doing
    this calculation
  • Explain how you did the calculation
  • Give details of ONE example

4
Showing Trends (2)
  • Do a scatter graph or a bar graph of your
    processed data
  • show errors and use statistics (for e.g.)
  • the range of data, or
  • standard deviation
  • R2 value
  • Trend line
  • using error bars or trend line. NOT BOTH.

5
Here the student would get complete for
aspects 2 3 of DCP.
  • The relationship between the variables is plotted
    as a scatter plot and a trend line has been
    drawn.
  • Excel has also been used to calculate a
    correlation coefficient R2, which should be used
    in the conclusion. (The student should use R2 to
    comment just that it is high or low correlation.
    )For aspect 3 the correct conventions are used
    for the graph.
  • It has a clear title and
  • uncertainties are shown through both the use of
    the trend line and the degree of precision on the
    x-axis.

The student will have also explained, why how
they did these things in their writing.
6
  • The graph is used to process the data by using
    the intercepts of the x-axis to establish the
    sucrose solutions isotonic to the tissue sap. So
    long as this graph is accompanied by a table
    showing how the data was processed, aspect 2
    would achieve complete.
  • Note in this method that the calculation of the
    percentage change in length is not necessary as
    all the pieces of tissue were cut to the same
    initial lengths (4.0 cm).
  • The graph is drawn using the correct conventions,
    it has a clear title and uncertainties are given
    by the use of trend lines. The axes have
    graduations on them to improve the precision of
    the estimate of the isotonic solutions. Aspect 3
    has achieved complete.

7
Beware! you have to finish the analysis Check
the Aim of your Experiment every time.
  • Most of the processing has been done (calculating
    the average change in lengths),
  • Unfortunately the comparison of apple potato is
    not complete without the estimation of the
    isotonic solutions (where there is no change in
    length).
  • This can only be awarded partial for aspect 2
    PROCESSING.
  • The Potato and the apple were not compared
    which was the aim of the experiment.

8
Include Errors in your processing as well as in
the raw data
  • The graph is drawn using correct conventions and
    the title is appropriate,
  • but there are no uncertainties given
  • as degrees of precision (/-),
  • as error bars or
  • as a trend line.
  • Therefore only partial can be awarded for
    aspect 3 of data collection and processing.

9
Conclusions
  • Say what the results show, without trying to
    explain them
  • Refer to specific data from the graph or results
    table give examples of readings
  • Say what the text book theory is
  • Compare your results to the text book to
    justify your conclusion.

10
Limitations
  • Range of data
  • Number of repeats
  • Choice of equipment
  • Effectiveness of the method
  • Accuracy of the data

11
Improvements
  • Must be
  • Linked to the limitations
  • Specific not general points
  • Can describe human error which was unavoidable.
  • Must not
  • Say that you did the experiment badly
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