Reading supplied group trends without inventing exact values
Order the group first, describe each property separately and keep exceptions and uncertainty visible.
Cross-referenced from the related Cambridge IGCSE Chemistry 0620 or Physics 0625 teaching to the 0652 syllabus. Exact 0652 Core/Supplement objective coverage and this final-series course’s examiner fit still need specialist review. Written practice is self-checked and does not predict a Cambridge grade or demonstrate supervised laboratory competence.
Before you begin
- Identify groups and increasing atomic number.
- Read a table's units and compare numerical values.
Work on paper. Try each question before revealing help, and explain why your method works.
Quick readiness check
Which ordering is appropriate for a supplied top-to-bottom group comparison?
What you will learn
- Identify trends from ordered data for elements in a group.
- Make supported qualitative predictions without assuming constant steps or erasing exceptions.
Order before describing a trend
Put elements in their supplied top-to-bottom group order, usually increasing atomic number. Read one property at a time and retain its units. For a hypothetical group dataset with top, middle and bottom atomic radii 90, 130 and 160 pm, radius increases down the listed group. The changes are 40 and 30 pm, so the evidence does not show a fixed step of 40 pm for every later element.
A second property can follow a different direction or no simple monotonic pattern. If hypothetical melting points are 650, 600 and 550 °C, they decrease in that dataset; the radius and melting-point changes must not be combined into one claim that every property increases. These numbers are supplied teaching data, not measured values or identities for a real named group.
Separate a trend from an exact forecast
A qualitative continuation such as likely larger radius below the listed entries is more defensible than an invented exact number, assuming the question asks for the same trend to continue. A missing value between two known entries may be constrained to an interval by a stated monotonic trend, but linear interpolation needs an additional model rather than following automatically from periodic membership.
If one datum reverses the general direction, report it as an exception and use the actual supplied evidence. A general trend can coexist with an exception; it cannot justify replacing observed values. Also avoid transferring a trend from Group I to Group VII without evidence: their reactivity directions differ. Predictions should name the property, direction, data support and any required assumption.
Sources for this lesson
Pause and explain
Radii 90, 130 and 160 pm rise down a hypothetical group. What is supported?
Worked example
For hypothetical top-to-bottom radii 90, 130 and 160 pm, identify the trend and assess a claim that the next must be exactly 200 pm.
Show the worked solution
- The supplied radius increases down the listed group.
- Successive increases are 40 and 30 pm, so there is no constant increment.
- A larger next value can be a qualitative continuation if requested, but exactly 200 pm is not established by these data.
Answer Radius increases; the data do not justify an exact next value of 200 pm.
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.
For hypothetical radii 90, 130 and 160 pm and melting points 650, 600 and 550 °C down one listed group, describe both directions.
Give me a hint
Treat the two columns separately.
Compare my reasoning
- Radius increases from 90 to 130 to 160 pm.
- Melting point decreases from 650 to 600 to 550 °C.
- Name both properties and units; do not claim all properties increase together.
Radius increases; melting point decreases in the supplied hypothetical data.
Look for these in your work
- Each property has its own direction.
- The conclusion stays with the supplied dataset.
A stated increasing density trend has an unknown middle value between 1.2 and 1.8 g/cm³. Give the supported interval and explain why 1.5 is not uniquely established.
Give me a hint
An ordered trend is weaker than a linear interpolation rule.
Compare my reasoning
- For a strictly increasing stated trend, the middle value lies above 1.2 and below 1.8 g/cm³.
- The midpoint 1.5 is one possible value.
- No equal-step or linear model is supplied, so it is not a uniquely determined answer.
Between 1.2 and 1.8 g/cm³; 1.5 is possible but not uniquely supported.
Look for these in your work
- The interval respects the given direction.
- No unstated linear model is introduced.
Hypothetical down-group densities are 0.6, 1.0, 0.9 and 1.5 g/cm³. Describe the overall tendency and the exception instead of replacing 0.9 with a larger number.
Give me a hint
Use every supplied value, including the reversal.
Compare my reasoning
- The dataset generally rises from the first to the last entry.
- The third value 0.9 is below the second 1.0, so the sequence is not strictly increasing.
- Report that exception; it does not justify altering the data or claiming a constant step.
An overall rise with a second-to-third decrease; not a strictly increasing sequence.
Look for these in your work
- The reversal is explicitly identified.
- No datum is silently changed.
Common mistakes
- Comparing a scrambled list without restoring group order.
- Calling every property increasing because one property increases.
- Assuming every monotonic trend has equal numerical steps.
- Discarding an inconvenient exception rather than reporting it.
What can you explain now?
Hypothetical melting points down a listed group are 650, 600 and 550 °C. What direction do these data support?
Compare with the explanation
Decreasing melting point down the listed group.
The answer concerns this supplied property and dataset, rather than a universal law for every group.
After trying it yourself, choose your next review. This is your self-assessment.
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Make it stick
Interpret two properties in a fresh supplied group table. Give a qualitative prediction, an exception if present and a statement about what cannot be calculated exactly.
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.