Calculate mean value X - AQA - GCSE Biology - Question 7 - 2020 - Paper 1
Question 7
Calculate mean value X.
X =
cm³/hour
07.4
Draw a ring around the anomalous result in Table 3.
07.5
Suggest one possible cause of the anomalous result.
07.6
How... show full transcript
Worked Solution & Example Answer:Calculate mean value X - AQA - GCSE Biology - Question 7 - 2020 - Paper 1
Step 1
Calculate mean value X.
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Answer
To calculate the mean value X, we sum the relevant values from Table 3 and divide by the number of values. For instance, if the data includes values 18.5, 19.3, and 19.5, the calculation would be:
X=3(18.5+19.3+19.5)=357.3=19.1cm3/hour
Step 2
Draw a ring around the anomalous result in Table 3.
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Answer
In Table 3, identify the value that significantly deviates from other measurements. For illustration, you would draw a ring around the value 14.2, assuming it is the anomalous result.
Step 3
Suggest one possible cause of the anomalous result.
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Answer
One possible cause for the anomalous result of 14.2 could be a measurement error, such as misreading the scale or bubbles in the syringe affecting the reading.
Step 4
How did the students deal with the anomalous result?
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Answer
The students chose not to use the anomalous result in their calculations for the mean value.
Step 5
Give one factor the students should have kept constant in this investigation.
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Answer
One factor that should have been kept constant is the light intensity during the experiment.
Step 6
Why did the rate of photosynthesis decrease from 35 °C to 45 °C?
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The decrease in the rate of photosynthesis from 35 °C to 45 °C is likely due to the denaturation of enzymes involved in the process at higher temperatures.
Step 7
Complete Figure 10 using data from Table 3.
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Answer
To complete Figure 10:
Label the y-axis as 'Rate of Photosynthesis (cm³/hour)'.
Choose a suitable scale that takes up at least half the height of the grid provided.
Plot the mean data points from Table 3 for temperatures ranging from 25 °C to 45 °C accurately within half a small square.
Draw a line of best fit connecting the points to represent the trend in the data.