9700/53

Biology 9700/53May/June 2024

Cambridge A-Level · Planning, Analysis and Evaluation · worked solutions for every part, with the mark scheme

2
questions
30
marks
75
minutes

Topics Planning · Analysis, Conclusions and Evaluation

Q1Medium-HardPlanningAnalysis, Conclusions and Evaluation

Blood vessels must be able to withstand and maintain varying blood pressures.

There are several methods that could be used to determine the strength of a blood vessel. One method is called the circumferential tensile strength (CTS) test, as shown in Fig. 1.1.

The ring of blood vessel, shown in Fig. 1.1, was cut from a length of artery or vein that was prepared by removing surrounding tissues.

A student wanted to use the apparatus in Fig. 1.1 to determine the mass needed to break an artery and the mass needed to break a vein.

(a)
7M
(i)

Identify the independent variable and the dependent variable in this investigation.

independent variable = ______

dependent variable = ______

1M
(ii)

The student was provided with lengths of a large artery, lengths of a large vein and standard laboratory apparatus.

Describe how the student could use the CTS test to determine the mass needed to break an artery and the mass needed to break a vein.

Your method should be set out in a logical order and be detailed enough to let another person follow it.

6M
(b)

Another student investigated how the length of a ring of vein and the length of a ring of artery increases as more mass is added.

The student used the apparatus shown in Fig. 1.2 with the ring of vein.

The results for the ring of vein are shown in Table 1.1.

Table 1.1

mass added / glength of ring of vein / mmpercentage increase in length of ring of vein
0210
1036………..
203881
304090
4041………..
5041………..
12M
(i)

Complete Table 1.1 by calculating the percentage increase in length of the ring of vein for 10 g10\ \text{g}, 40 g40\ \text{g} and 50 g50\ \text{g}.

2M
(ii)

Explain why the student calculated the percentage increase in length of the ring of vein.

1M
(iii)

On the grid in Fig. 1.3, plot a graph of the data shown in Table 1.1.

3M
(iv)

The student carried out the same investigation using a muscular artery instead of a vein.

Predict the shape of the curve you would expect for the muscular artery.

On Fig. 1.3:

  • sketch the curve you predicted for the muscular artery
  • label this curve with the word artery.
2M
(v)

Explain the shape of the curve you sketched for the muscular artery in Fig. 1.3.

2M
(vi)

Another student suggested that the experiment should be repeated with more rings from the same blood vessels.

Suggest two other ways the student could modify the method to improve the quality of the results.

2M
Q2MediumPlanningAnalysis, Conclusions and Evaluation

Gibberellins are a group of plant hormones that are involved in the elongation of plant stems.

A student investigated the effect of two different concentrations of a gibberellin, known as GA3\text{GA}_3, on stem elongation of 10-day old pea seedlings.

The student was given a stock solution of GA3\text{GA}_3 with a concentration of 2.85×104 mol dm32.85 \times 10^{-4}\ \text{mol dm}^{-3}.

(a)

Describe a method the student could use to make a solution of GA3\text{GA}_3 with a concentration of 1.90×106 mol dm31.90 \times 10^{-6}\ \text{mol dm}^{-3} and state the dilution factor used.

2M
(b)

In the investigation, the student:

  • used the two concentrations of GA3\text{GA}_3: 2.85×104 mol dm32.85 \times 10^{-4}\ \text{mol dm}^{-3} (high concentration GA3\text{GA}_3) and 1.90×106 mol dm31.90 \times 10^{-6}\ \text{mol dm}^{-3} (low concentration GA3\text{GA}_3)
  • applied the high concentration GA3\text{GA}_3 to one batch of 10-day-old pea seedlings
  • applied the low concentration GA3\text{GA}_3 to another batch of 10-day-old pea seedlings
  • applied distilled water to a third batch of 10-day-old pea seedlings, as a control
  • standardised all other variables
  • measured the length of the stem of each seedling every two days until the seedlings were 20 days old
  • calculated the rate of stem elongation in cm day1\text{cm day}^{-1}.

State one way in which the student could standardise the measuring of stem length.

1M
(c)

The results of the investigation are shown in Table 2.1.

Table 2.1

age of seedling / daysmean stem length with high concentration GA3\text{GA}_3 added / cmmean stem length with low concentration GA3\text{GA}_3 added / cmmean stem length with distilled water added / cm
10222
12423
14754
166127
1820158
2025218
rate of stem elongation / cm day1\text{cm day}^{-1}2.3…………………0.6
3M
(i)

Complete Table 2.1 by calculating the rate of stem elongation in cm day1\text{cm day}^{-1} for the seedlings with low concentration GA3\text{GA}_3 added.

1M
(ii)

A scientist stated that they did not have enough confidence in the results in Table 2.1 to make any conclusions.

State one reason to support the statement made by the scientist.

1M
(iii)

Describe how the student could modify the investigation to increase confidence in the results.

1M
(d)

The student found a study on the internet that considered the effect of different wavelengths of light on the concentration of two types of gibberellins, GA1\text{GA}_1 and GA8\text{GA}_8, in pea plants.

In the study, 60 pea seeds were germinated and kept in the dark (no light) for seven days.

The pea seedlings were divided into four batches of 15:

  • batch 1 remained in the dark
  • batch 2 was exposed to blue light (470 nm470\ \text{nm})
  • batch 3 was exposed to red light (680 nm680\ \text{nm})
  • batch 4 was exposed to far-red light (750 nm750\ \text{nm}).

After 4 hours the concentrations of GA1\text{GA}_1 and GA8\text{GA}_8 in the seedlings were measured.

Table 2.2 shows the results.

Table 2.2

batchwavelength of light / nmcolour of lightmean GA1\text{GA}_1 concentration ±\pm standard deviation / ng g1\text{ng g}^{-1} fresh massmean GA8\text{GA}_8 concentration ±\pm standard deviation / ng g1\text{ng g}^{-1} fresh mass
1dark2.87±0.722.87 \pm 0.723.07±0.103.07 \pm 0.10
2470blue light0.21±0.050.21 \pm 0.053.90±0.133.90 \pm 0.13
3680red light0.31±0.100.31 \pm 0.105.03±0.215.03 \pm 0.21
4750far-red light1.38±0.261.38 \pm 0.264.00±0.724.00 \pm 0.72

The student calculated the standard error (SE) and 95% confidence intervals (95% CI) for the data shown in Table 2.2. The formulae that the student used were:

SE=sn\text{SE} = \frac{s}{\sqrt{n}} 95% CI=xˉ±(2×SE)95\%\ \text{CI} = \bar{x} \pm (2 \times \text{SE})

key to symbols

ss = standard deviation

nn = sample size (number of observations)

xˉ\bar{x} = mean

Table 2.3 shows the calculated values for SE and 95% CI for the data from Table 2.2.

Table 2.3

batchSE for GA1\text{GA}_1 / ng g1\text{ng g}^{-1} fresh massmean ±\pm 95% CI for GA1\text{GA}_1 / ng g1\text{ng g}^{-1} fresh massSE for GA8\text{GA}_8 / ng g1\text{ng g}^{-1} fresh massmean ±\pm 95% CI for GA8\text{GA}_8 / ng g1\text{ng g}^{-1} fresh mass
10.1862.87±0.372.87 \pm 0.370.0263.07±0.053.07 \pm 0.05
20.0130.21±0.030.21 \pm 0.030.0343.90±0.073.90 \pm 0.07
30.0260.31±0.050.31 \pm 0.050.0545.03±0.115.03 \pm 0.11
4………………..………………..0.1864.00±0.374.00 \pm 0.37

Complete Table 2.3 to show the calculated values for SE and mean ±\pm 95% CI for the data from far-red light for GA1\text{GA}_1 (batch 4).

2M
(e)

Fig. 2.1 shows the bar chart of the results from the study.

Use Fig. 2.1, Table 2.2 and Table 2.3 to state three conclusions about the effect of different wavelengths of light on the concentrations of GA1\text{GA}_1 and GA8\text{GA}_8 in plants.

3M