- The results could be useful to people who design drug delivery patches
- They will know thatas the concentration increases the rate of diffusion increases
- If they put a high concentration of drug into a patch the difference in in concentration is greater so the rate of diffusion is faster
- This would be good for painkiller
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Independent variable on the x axis.
Dependent variable on the y axis.
Boths axis need titles and units.
Do NOT draw points, only draw a line of best fit.
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- Include data
- Check if the experiment has been repeated
- Look out for anomalies - have they been included in the mean?
- Is there a different independent variable?
- Possitive or negative correlation
- Is the effext proportional?
- Does the effect level out? (E.g. a curved line like limiting factors in photosynthesis)
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Suggest why others might get different results
- They may have used a different method
- For example they could have used different values for their control variables.
- Also, they may have used a stronger alkali in the agar cubes which would have made the time taken for the cube to go colourless longer
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- Yes I did get anomalous results
- They were at 0.4M and 0.6M
- They are not close to the line of best fit and do not follow the pattern
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Independent Variable & Range
- Independent Variable - Concentration of acid
- Range - 0.2M to 1.0M
- This was a suitble range because there was a difference between the lowest concentration (0.2M) and the highest (1.0M)
- So my results agree with my hypothesis
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- Discard anomalous results
- Add the results together
- Divide the sum by how many results there are
- This is how a mean value is calculated
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Supporting The Hypothesis
- Yes my results do support my hypothesis
- As concentration of acid increases the rate of diffusion increases. The effect is less at higher concentrations
- For example, with 0.2M of acid the time taken to decolourise was 231 seconds, whereas when this was increased to 1.0M the tim take to decolourise was only 117 seconds
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- Difficult to decide when all the colour has gone
- Use the same person to judge the end point
- This will reduce random errorsand allows you to directly compare the cubes
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- Compare with others who used the same independent variable
- Compare to see if they are similar
- If they are similar then the results are reproducible
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