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Data Interpretation & Analysis 13
Review the table below and explain your findings.
Average Candidate Response
This graph shows that as the carbon dioxide concentration increases, so does the rate of photosynthesis. Beyond 0.08 CO2, there is no further increase in the rate of photosynthesis.
This graph shows that as the carbon dioxide concentration increases, so does the rate of photosynthesis. Beyond 0.08 CO2, there is no further increase in the rate of photosynthesis.
Excellent Candidate Response (Graduate Entry Example)
Excellent candidates will use the 'BlackStone Tutors Six Point Approach for Data Analysis'
This is a table comparing the length of hosepipes in metres to that of the amount of water collected in 10 seconds in cm3. By looking at the table it can be concluded that increasing the length of the hosepipe has no effect on the water collected between 2 and 5m as it constantly flows at a rate of 500cm3 per 10 seconds. It can also be said that increasing the length of the hosepipe beyond 10m decreases the water collected by 80cm3. This decrease in water is caused by fluid dynamics and can be represented by the Darcy-Weisbach equation in which (headloss = f * L/D * V2/2g). As the pipe extends in length the friction rate along the pipe increases. Due to the increased friction rate along the pipe the flow of water which is equal to the velocity decreases and this is why we see a drop in the amount of water collected. To improve this investigation, more readings could be taken to calculate a mean value of water collected, this would reduce the effect of random errors and make the experiment more reliable. Readings could also be taken between 5.0m and 10.0m to obtain a better understanding at what length the change in water collection occurs. More readings could also be taken above 15.0m to see if the trend continues to follow its said pattern.
There are no anomalies demonstrated in the table, however the experiment should be repeated with differing controlled variables such as: Speed of water entering the hosepipe, width/diameter of the hose pipe and the material of the hosepipe. These variables could gain a better understanding into how this process works and also see if the results can be replicated.
Excellent candidates will use the 'BlackStone Tutors Six Point Approach for Data Analysis'
- Data Title (if present)
- 'x' axis and 'y' axis
- Graphical/tabular progression shown
- Physiological correlation (How can this pattern be explained biologically?)
- Anomalies/additional information of note
- Critical analysis of data/data source
This is a table comparing the length of hosepipes in metres to that of the amount of water collected in 10 seconds in cm3. By looking at the table it can be concluded that increasing the length of the hosepipe has no effect on the water collected between 2 and 5m as it constantly flows at a rate of 500cm3 per 10 seconds. It can also be said that increasing the length of the hosepipe beyond 10m decreases the water collected by 80cm3. This decrease in water is caused by fluid dynamics and can be represented by the Darcy-Weisbach equation in which (headloss = f * L/D * V2/2g). As the pipe extends in length the friction rate along the pipe increases. Due to the increased friction rate along the pipe the flow of water which is equal to the velocity decreases and this is why we see a drop in the amount of water collected. To improve this investigation, more readings could be taken to calculate a mean value of water collected, this would reduce the effect of random errors and make the experiment more reliable. Readings could also be taken between 5.0m and 10.0m to obtain a better understanding at what length the change in water collection occurs. More readings could also be taken above 15.0m to see if the trend continues to follow its said pattern.
There are no anomalies demonstrated in the table, however the experiment should be repeated with differing controlled variables such as: Speed of water entering the hosepipe, width/diameter of the hose pipe and the material of the hosepipe. These variables could gain a better understanding into how this process works and also see if the results can be replicated.