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IGCSE · Cambridge (CIE) · 0973

Investigate suitable temperature using repeated seed counts

Calculate means and recognise the best tested condition without claiming a universal optimum.

Sexual reproduction in plants · Cambridge IGCSE 0973 · B15.3
Exam scope and assessment notes

Mapped to the named 0973 section using teaching from the corresponding single-science course. A 0973-specific review of every Core and Supplement objective is still in progress. Written practice is self-checked; it does not demonstrate supervised laboratory competence or award an official Cambridge grade. This qualification reports two grades on the 9–1 scale; confirm the entry route for your zone and exam series.

Before you begin

  • Recall gametes, nuclear fusion, cellular respiration and the distinction between reproduction and growth.

Work on paper. Try each question before revealing help, and explain why your method works.

Quick readiness check

Which temperature has the highest mean in the supplied record?

What you will learn

  • Control hydration and oxygen across temperatures
  • Compare repeated timed germination results

Investigate suitable temperature using repeated seed counts

Invented three-repeat day-5 counts, 20 seeds per group: means at 5/15/25/35°C are 1/13/17/9. The best tested condition is 25°C; no universal optimum is established. Original teaching data.

Invented day-5 temperature repeats — 20 seeds in each independent group
TemperatureRepeat countsMean countMean percentage
5°C1, 2, 015%
15°C12, 14, 131365%
25°C17, 18, 161785%
35°C8, 10, 9945%
Plant reproduction model reference
FeatureMeaning
VariableTemperature
Critical controlsMoisture, oxygen, seed stock and time
Mean percentages5%, 65%, 85%, 45%
Conclusion25°C best among these tested conditions

Control hydration and oxygen across temperatures

To investigate temperature, allocate matched viable seed groups to several stated temperatures while keeping moisture, oxygen availability, species and batch, starting total, timing and relevant additional requirements the same. Check moisture throughout because evaporation can differ between temperatures. Equal water supplied initially does not guarantee equal moisture after several days.

Repeat each temperature treatment using independently prepared groups. In the invented record, three groups of 20 seeds are tested at each temperature and germination is counted by day 5. At 5°C the counts are 1, 2 and 0; at 15°C they are 12, 14 and 13; at 25°C they are 17, 18 and 16; at 35°C they are 8, 10 and 9.

Compare repeated timed germination results

Mean counts are 1, 13, 17 and 9 respectively. Divide each mean by 20 and multiply by 100 to obtain mean germination percentages of 5%, 65%, 85% and 45%. The 25°C treatment has the highest mean among the four tested temperatures. The decline at 35°C shows that hotter is not automatically better in this record.

Do not claim the exact biological optimum is 25°C for all species or even every untested temperature for this seed stock. A temperature between the tested values could produce another result, and day-5 emergence does not measure all later growth. The repeated record supports a suitable-temperature explanation under its stated controls; supervised practical work and broader testing remain separate evidence.

Sources for this lesson

Pause and explain

What does this comparison establish most directly?

Put the idea to work

Worked example

Find the mean of the 25°C counts 17, 18 and 16.

Show the worked solution
  1. Add the three counts: 51.
  2. 51 ÷ 3 = 17.

Answer Mean 17 of 20, or 85%.

Try a topic test

Choose Easy, Normal or Difficult. Save your answers and open worked review after finishing.

Test this topic →

From guided practice to a new situation

Write your answer and reasoning first. Use a hint only if you are stuck. The model solution is for self-checking; your written work is not automatically marked.

1 · Guided

Calculate the mean count and percentage for 15°C: 12, 14 and 13 of 20.

Give me a hint

Average the counts before using the common denominator.

Compare my reasoning
  1. (12 + 14 + 13)/3 = 13.
  2. 13/20 × 100 = 65%.

Mean 13 of 20; 65% by day 5.

Look for these in your work

  • Compute the mean
  • Use 20 as the starting total per group
2 · Independent

Compare the mean percentages at 25°C and 35°C and identify the best tested treatment.

Give me a hint

Use means 17 and 9 of 20.

Compare my reasoning
  1. 25°C: 85%; 35°C: 45%.
  2. 85 − 45 = 40 percentage points.

25°C has the higher mean: 85% versus 45%, a 40-percentage-point difference. It is best among the four tested treatments.

Look for these in your work

  • Calculate both percentages
  • Use the tested-condition boundary
3 · Transfer

Why should moisture be monitored, and why is an exact universal optimum unsupported?

Give me a hint

Consider evaporation and untested temperatures.

Compare my reasoning
  1. Temperature can change evaporation and hence hydration.
  2. Only four temperatures for one stock at one time were tested.

Monitor moisture to avoid confounding temperature with hydration. The best tested result does not establish an exact optimum between values or a universal optimum across species.

Look for these in your work

  • Name the hydration control
  • Limit the optimum claim

Common mistakes

  • Calling the highest tested result a universal exact optimum.
  • Forgetting moisture can vary through evaporation.
Recall without your notes

What can you explain now?

What does this comparison establish most directly?

Compare with the explanation

25°C performs best among the tested conditions by day 5

Untested temperatures and other species remain outside the record.

After trying it yourself, choose your next review. This is your self-assessment.

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Make it stick

Compute repeat means and qualify conclusions about a suitable temperature.

If you needed the solution, close it and solve the problem again from a blank page. A correct answer is stronger when you can explain the reason for each step.

Keep learning Sciences — Co-ordinated (9-1)

Course scope and assessment

This 9–1 pathway maps all 152 detailed subject-content sections in the published 0973 syllabus for exams in 2028 and 2029. The course map follows the same 2028–2029 section codes as Cambridge's A*–G 0654 syllabus, while keeping 0973's grading and entry rules separate. It adapts lessons from the related single-science courses and excludes clear single-science-only topics. A 0973-specific objective-by-objective review, Core/Supplement audit, human subject-teacher review, supervised laboratory experience and cumulative assessment remain in progress. Written practice is self-checked and does not predict an official grade. The separate 2025–2027 syllabus has not been reconciled here. Cambridge lists 0973 only in a limited number of administrative zones: June in zone 3 and centres in Oman and the UAE; November in zone 3 only. Confirm entry with your centre.

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