Hard GCSE Iterative growth processes Questions

Challenging, exam-style GCSE Iterative growth processes questions with worked solutions. Stretch yourself on the hardest nth root, finding the rate, reverse iteration, decay problems.

nth rootfinding the ratereverse iterationdecaysquare roothalf-life
GCSE Higher34 questionsStep-by-step solutions
Question 1
6 markschallenging
A colony of bacteria grows by the same percentage each year. It grows from 50005000 to 72007200 in 22 years. Work out the smallest number of complete years, from the start, for the colony to exceed 2000020\,000.
Show worked solution

Worked solution

  1. Write the iterative model

    A=P×rnA = P \times r^{n}

    The same annual multiplier acts every year.

  2. Substitute the two-year data

    7200=5000×r27200 = 5000 \times r^{2}

    P=5000P = 5000, A=7200A = 7200 and n=2n = 2.

  3. Isolate the power of r

    r2=72005000=1.44r^{2} = \frac{7200}{5000} = 1.44

    The two-year multiplier is 1.441.44.

  4. Take the square root

    r=1.44=1.2r = \sqrt{1.44} = 1.2

    The nth root with n=2n = 2 is the square root; 1.22=1.441.2^{2} = 1.44 exactly.

  5. Interpret the rate

    1.21=0.2=20% per year1.2 - 1 = 0.2 = 20\% \text{ per year}

    The colony grows by exactly 20%20\% each year.

  6. Round-trip check the rate

    5000×1.22=5000×1.44=7200  5000 \times 1.2^{2} = 5000 \times 1.44 = 7200 \; \checkmark

    The recovered rate reproduces the given two-year figure exactly.

  7. Reject the divide-by-n error

    720050005000×2=22%20%\frac{7200 - 5000}{5000 \times 2} = 22\% \ne 20\%

    Halving the total 44%44\% rise gives 22%22\%, which is too big — growth compounds.

  8. Set up the target inequality

    5000×1.2n>200005000 \times 1.2^{n} > 20\,000

    Measure nn from the ORIGINAL start, not from the two-year point.

  9. Divide by the starting value

    1.2n>41.2^{n} > 4

    The colony must become more than four times its original size.

  10. Estimate n with logarithms

    n>log4log1.2=7.60n > \frac{\log 4}{\log 1.2} = 7.60\ldots

    Taking logs brings the exponent down.

  11. Round up and prepare to test

    n=8 (to be confirmed)n = 8 \text{ (to be confirmed)}

    A non-integer estimate must be rounded up for a "more than" target, then checked on both sides.

  12. Test n=7n = 7

    5000×1.27=5000×3.5831808=17915.905000 \times 1.2^{7} = 5000 \times 3.5831808 = 17\,915.90\ldots

    After 77 years there are about 1791617\,916 bacteria — still below 2000020\,000.

  13. Test n=8n = 8

    5000×1.28=5000×4.29981696=21499.085000 \times 1.2^{8} = 5000 \times 4.29981696 = 21\,499.08\ldots

    After 88 years there are about 2149921\,499 bacteria, which exceeds 2000020\,000.

  14. Confirm the crossing

    17915.90<20000<21499.0817\,915.90 < 20\,000 < 21\,499.08

    Year 77 is below the target and year 88 is above it, so 88 complete years are needed.

  15. State the answer

    n=8 yearsn = 8 \text{ years}

    Counting from the start, the colony first exceeds 2000020\,000 after 88 complete years.

Answer
8 years8 \text{ years}
Question 2
6 markschallenging
A sample loses 30%30\% of its mass every hour. Work out the half-life of the sample in hours. Give your answer to 22 decimal places.
Show worked solution

Worked solution

  1. Write the hourly multiplier

    r=10.30=0.7r = 1 - 0.30 = 0.7

    Losing 30%30\% each hour leaves 70%70\% of the mass.

  2. Write the iterative model

    A=P×0.7tA = P \times 0.7^{t}

    Here tt is measured in hours and need not be a whole number.

  3. Write the half-life condition

    P×0.7t=0.5PP \times 0.7^{t} = 0.5P

    The half-life is the time taken for the mass to fall to exactly half.

  4. Cancel the starting mass

    0.7t=0.50.7^{t} = 0.5

    The half-life does not depend on how much you start with.

  5. Take logarithms of both sides

    tlog0.7=log0.5t \log 0.7 = \log 0.5

    The log of a power brings the exponent down as a coefficient.

  6. Rearrange for t

    t=log0.5log0.7t = \frac{\log 0.5}{\log 0.7}

    Divide by log0.7\log 0.7. Both logs are negative, so tt comes out positive.

  7. Evaluate

    t=1.94335820t = 1.94335820\ldots

    Keep the full display before rounding.

  8. Round to 2 decimal places

    t1.94 hourst \approx 1.94 \text{ hours}

    The third decimal is 33, so round down.

  9. Check the answer is sensible

    0.72=0.49<0.5<0.7=0.710.7^{2} = 0.49 < 0.5 < 0.7 = 0.7^{1}

    After 11 hour 70%70\% remains and after 22 hours only 49%49\%, so the half-life must lie between 11 and 22 hours — and just under 22.

  10. Round-trip check

    0.71.94335820=0.5000  0.7^{1.94335820} = 0.5000\ldots \; \checkmark

    Raising 0.70.7 to the unrounded half-life returns exactly 0.50.5.

  11. Check the rounded value

    0.71.94=0.500600.7^{1.94} = 0.50060\ldots

    The rounded 1.941.94 hours leaves 50.06%50.06\% — very close to half, as expected from a 22 d.p. answer.

  12. Reject the divide-into-50 error

    5030=1.67 hours is wrong\frac{50}{30} = 1.67 \text{ hours is wrong}

    That assumes a constant loss of 30%30\% of the ORIGINAL mass per hour; in fact each hour removes 30%30\% of a smaller amount.

  13. Test the wrong answer

    0.71.67=0.55630.50.7^{1.67} = 0.5563\ldots \ne 0.5

    After 1.671.67 hours over 55%55\% still remains, so that time is too short.

  14. Write the general rule

    t12=log0.5logrt_{\frac{1}{2}} = \frac{\log 0.5}{\log r}

    This converts any decay multiplier into its half-life.

  15. State the answer

    t121.94 hourst_{\frac{1}{2}} \approx 1.94 \text{ hours}

    The half-life of the sample is about 1.941.94 hours.

Answer
1.94 hours1.94 \text{ hours}
Question 3
5 markschallenging
A student models a population of 1000010\,000 growing at 10%10\% per year over 77 years. They work year by year, rounding to the nearest whole person after each year. Their answer differs from 10000×1.1710\,000 \times 1.1^{7}. Which statement best explains what has gone wrong?
Show worked solution

Worked solution

  1. Write the exact model

    A=10000×1.17=19487.171A = 10\,000 \times 1.1^{7} = 19\,487.171

    One exact evaluation of the power gives 19487.17119\,487.171, which rounds to 1948719\,487.

  2. Look at the first rounding

    10000×1.1=11000 (exact)10\,000 \times 1.1 = 11\,000 \text{ (exact)}

    Year 11 happens to be exact, so no error yet.

  3. Follow the exact chain

    1100012100133101464116105.117715.6119487.17111\,000 \to 12\,100 \to 13\,310 \to 14\,641 \to 16\,105.1 \to 17\,715.61 \to 19\,487.171

    The true running values are not whole numbers from year 55 onwards.

  4. See where rounding first bites

    16105.116105 (0.1 discarded)16\,105.1 \to 16\,105 \text{ (0.1 discarded)}

    Rounding to a whole person at year 55 throws away 0.10.1 of a person.

  5. Follow the rounded chain forwards

    16105×1.1=17715.51771616\,105 \times 1.1 = 17\,715.5 \to 17\,716

    The rounded year-5 figure is now the INPUT to year 66, and 17715.517\,715.5 rounds up to 1771617\,716 — the error has changed sign and grown.

  6. Compare the two answers

    rounded chain: 17716×1.1=19487.61948819487\text{rounded chain: } 17\,716 \times 1.1 = 19\,487.6 \to 19\,488 \ne 19\,487

    The year-by-year rounded chain finishes at 1948819\,488, one person above the exact answer of 1948719\,487.

  7. Identify the cause

    each rounding is fed back into the next multiplication\text{each rounding is fed back into the next multiplication}

    The error is not just displayed — it becomes the input to the next step and is multiplied again.

  8. State the correct method

    compute P×rn once, then round\text{compute } P \times r^{n} \text{ once, then round}

    Evaluate the whole power at full precision and round only the final answer.

  9. Check the correct method

    10000×1.17=19487.1711948710\,000 \times 1.1^{7} = 19\,487.171 \to 19\,487

    A single exact calculation avoids all intermediate rounding.

  10. Note when it matters most

    large n and tight targets\text{large } n \text{ and tight targets}

    The more steps there are, the more roundings compound — and near a boundary the drift can flip a "first year above" answer.

  11. Rule out a different explanation

    1.17 is not the problem1.1^{7} \text{ is not the problem}

    The formula itself is right; only the arithmetic method is at fault.

  12. Rule out the multiplier being wrong

    r=1.1 is correct for 10% growthr = 1.1 \text{ is correct for } 10\% \text{ growth}

    A 10%10\% rise really is a multiplier of 1.11.1.

  13. Rule out the exponent being wrong

    n=7 is correct for 7 yearsn = 7 \text{ is correct for } 7 \text{ years}

    Seven years means seven applications of the multiplier.

  14. Summarise the principle

    round ONCE, at the end\text{round ONCE, at the end}

    Every displayed intermediate value should be a rounding of the true running value, never a re-multiplication of a rounded one.

  15. State the explanation

    rounding each year feeds the error forward and it compounds\text{rounding each year feeds the error forward and it compounds}

    The year-by-year rounding introduces an error that is then multiplied again in every later year.

Answer
Rounding each year feeds an error forward that then compounds\text{Rounding each year feeds an error forward that then compounds}
Question 4
5 markschallenging
A colony of 500500 bacteria grows by 7%7\% each hour. Work out the smallest number of complete hours after which the colony first exceeds 20002000 bacteria.
Show worked solution

Worked solution

  1. Write the iterative model

    A=500×1.07nA = 500 \times 1.07^{n}

    A 7%7\% hourly rise gives a multiplier of 1.071.07.

  2. Set up the inequality

    500×1.07n>2000500 \times 1.07^{n} > 2000

    The colony must exceed 20002000 bacteria.

  3. Divide by the starting value

    1.07n>2000500=41.07^{n} > \frac{2000}{500} = 4

    The colony must become more than four times its original size.

  4. Estimate n with logarithms

    n>log4log1.07=20.49n > \frac{\log 4}{\log 1.07} = 20.49\ldots

    Taking logs brings nn down from the exponent.

  5. Round the estimate up

    n=21 (to be confirmed)n = 21 \text{ (to be confirmed)}

    The count of complete hours must be a whole number, and the estimate must be checked on both sides.

  6. Evaluate the power for n=20n = 20

    1.0720=3.8696841.07^{20} = 3.869684\ldots

    The exact twenty-hour multiplier is just under 44.

  7. Test n=20n = 20

    500×3.869684=1934.84500 \times 3.869684\ldots = 1934.84\ldots

    After 2020 hours there are 19341934 bacteria — still below 20002000.

  8. Evaluate the power for n=21n = 21

    1.0721=4.1405621.07^{21} = 4.140562\ldots

    The exact twenty-one-hour multiplier is above 44.

  9. Test n=21n = 21

    500×4.140562=2070.28500 \times 4.140562\ldots = 2070.28\ldots

    After 2121 hours there are 20702070 bacteria, which exceeds 20002000.

  10. Confirm the crossing

    1934.84<2000<2070.281934.84 < 2000 < 2070.28

    Hour 2020 is below the target and hour 2121 is above it, so hour 2121 is the first to exceed 20002000.

  11. Check the doubling structure

    doubling time=log2log1.07=10.24 hours\text{doubling time} = \frac{\log 2}{\log 1.07} = 10.24\ldots \text{ hours}

    The colony doubles about every 10.2510.25 hours, so it needs about 20.520.5 hours to quadruple — consistent with the answer.

  12. Reject the divide-by-rate error

    300743 hours is wrong\frac{300}{7} \approx 43 \text{ hours is wrong}

    Adding 7%7\% of the ORIGINAL size each hour would take about 4343 hours to reach 20002000; compounding gets there in half that.

  13. Reject the off-by-one error

    n=20 does not exceed 2000n = 20 \text{ does not exceed } 2000

    Rounding the estimate 20.4920.49 down to 2020 would give a colony of 19341934, which fails the condition.

  14. Note the exact value at the answer

    A21=2070 (nearest whole)A_{21} = 2070 \text{ (nearest whole)}

    At the answer hour the colony is comfortably past the target.

  15. State the answer

    n=21 hoursn = 21 \text{ hours}

    The colony first exceeds 20002000 bacteria after 2121 complete hours.

Answer
21 hours21 \text{ hours}
Question 5
5 markschallenging
The concentration of a chemical in a lake rises by 4%4\% each quarter (every 33 months). Work out the equivalent annual percentage increase. Give your answer to 22 decimal places.
Show worked solution

Worked solution

  1. Write the quarterly multiplier

    r=1.04r = 1.04

    A 4%4\% rise each quarter multiplies the concentration by 1.041.04.

  2. Count the quarters in a year

    n=123=4n = \frac{12}{3} = 4

    There are four 33-month quarters in a year.

  3. Combine the four quarters

    R=1.044R = 1.04^{4}

    The annual multiplier is the quarterly multiplier raised to the power 44.

  4. Evaluate the power exactly

    1.044=1.169858561.04^{4} = 1.16985856

    This is exact — evaluate the power in one go rather than multiplying rounded values four times.

  5. Subtract 1

    1.169858561=0.169858561.16985856 - 1 = 0.16985856

    The excess over 11 is the proportional annual increase.

  6. Convert to a percentage

    0.16985856×100%=16.985856%0.16985856 \times 100\% = 16.985856\%

    Multiply by 100100.

  7. Round to 2 decimal places

    16.985856%16.99%16.985856\% \approx 16.99\%

    The third decimal is 55 followed by more digits, so round up from 16.9816.98 to 16.9916.99.

  8. Reject the multiply-by-4 error

    4×4%=16%16.99%4 \times 4\% = 16\% \ne 16.99\%

    Multiplying the quarterly rate by 44 ignores the growth on growth within the year.

  9. Measure the compounding effect

    16.99%16%=0.99%16.99\% - 16\% = 0.99\%

    Compounding within the year adds almost a whole percentage point.

  10. Check with a concrete value

    1000×1.044=1169.861000 \times 1.04^{4} = 1169.86

    A concentration of 10001000 units rises to 1169.861169.86 units in a year.

  11. Check against the naive figure

    1000×1.16=11601169.861000 \times 1.16 = 1160 \ne 1169.86

    The naive 16%16\% figure understates the true concentration by nearly 1010 units.

  12. Show the danger of rounding early

    rounding each quarter to 1040,1082,1125,1170 drifts\text{rounding each quarter to } 1040, 1082, 1125, 1170 \text{ drifts}

    Rounding at each quarter accumulates error; only the exact power gives the right final value.

  13. Recover the quarterly rate from the annual one

    1.1698585614=1.04  1.16985856^{\frac{1}{4}} = 1.04 \; \checkmark

    The fourth root of the annual multiplier returns the quarterly multiplier exactly, confirming the two rates are equivalent.

  14. Note the general rule

    R=(1+i)n where i is the rate per periodR = (1 + i)^{n} \text{ where } i \text{ is the rate per period}

    This converts any rate per period into the equivalent rate for a longer period.

  15. State the answer

    16.99% per year (2 d.p.)16.99\% \text{ per year } (2 \text{ d.p.})

    The equivalent annual increase is 16.99%16.99\%.

Answer
16.99% per year16.99\% \text{ per year}

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