Clastify logo
Clastify logo
Subjects
Features
Review
HOT
Tutoring

Applications of Functions

Practice exam-style IB Math AI questions for Applications of Functions, aligned with the syllabus and grouped by topic.

Verified by Karim
Verified by Karim
Paper
Difficulty
Status
Level
Question 1
SL • Paper 1
Easy
Calculator Permitted
SL • Paper 1
Easy
Calculator Permitted

A taxi company charges a fixed fee of €4.804.80 and €1.651.65 for each kilometre travelled. The total cost, CC euros, of a journey of dd kilometres is modelled by

C(d)=4.80+1.65dC(d)=4.80+1.65d

where 0d200\leq d\leq 20.

A

Calculate the cost of a journey of 1212 kilometres.

[2]
B

Find the greatest distance that can be travelled for €3535.

[2]
C

Interpret the value 1.651.65 in the context of the model.

[1]
Question 2
SL • Paper 1
Easy
Calculator Permitted
SL • Paper 1
Easy
Calculator Permitted

The intensity, II, of light from a lamp varies inversely with the square of the distance, dd metres, from the lamp. The model has the form

I=kd2I=kd^{-2}

At a distance of 33 metres, the intensity is 8080 units.

A

Find the value of kk.

[2]
B

Find the intensity at a distance of 7.57.5 metres.

[2]
C

State the effect on the intensity when the distance from the lamp is doubled.

[1]
Question 3
SL • Paper 1
Easy
Calculator Permitted
SL • Paper 1
Easy
Calculator Permitted

The depth, DD metres, of water in a harbour is modelled by

D(t)=2.7sin(30t)+5.1D(t)=2.7\sin(30t^\circ)+5.1

where tt is the number of hours after midnight and 0t240\leq t\leq24.

A

State the amplitude, period and equation of the principal axis of the model.

[3]
B

Find the maximum depth of the water.

[1]
C

Find the first time after midnight at which the maximum depth occurs.

[1]
Question 4
SL • Paper 1
Medium
Calculator Permitted
SL • Paper 1
Medium
Calculator Permitted

A ball is thrown upwards from a platform. Its height, hh metres, after tt seconds is modelled by

h(t)=0.8t2+4.8t+1.2h(t)=-0.8t^2+4.8t+1.2

where t0t\geq0.

A

Determine the maximum height reached by the ball and the time at which it is reached.

[3]
B

Find the time at which the ball first reaches the ground.

[2]
Question 5
SL • Paper 1
Medium
Calculator Permitted
SL • Paper 1
Medium
Calculator Permitted

The temperature, TT in degrees Celsius, of a drink tt minutes after it is placed in a room is modelled by

T(t)=18+72e0.18tT(t)=18+72e^{-0.18t}

where t0t\geq0.

A

State the horizontal asymptote of the graph of TT.

[1]
B

Calculate the temperature of the drink after 2020 minutes.

[2]
C

Find the time at which the temperature first reaches 25C25^\circ\text{C}.

[2]
Question 6
SL • Paper 1
Medium
Calculator Permitted
SL • Paper 1
Medium
Calculator Permitted

The number of subscribers, SS, to an online service was recorded at times t=0,1,2,3t=0,1,2,3 years.

Time, tt [years]

Subscribers, SS [subscribers]

0

240

1

300

2

375

3

469

A

Justify why an exponential model is more appropriate than a linear model for these data.

[1]
B

Find an exponential model of the form S(t)=katS(t)=ka^t for these data.

[2]
C

Use the model to predict the number of subscribers at the end of year 77.

[1]
D

State one reason why this prediction may be unreliable.

[1]
Question 7
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

The concentration, AA milligrams per litre, of a chemical in a tank is modelled by

A(t)=15+85e0.14tA(t)=15+85e^{-0.14t}

where tt is measured in hours.

A

State the initial concentration and the long-term concentration predicted by the model.

[2]
B

Calculate the half-life of the concentration above its long-term value.

[2]
C

Find the concentration after two half-lives.

[1]
Question 8
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

The vertical displacement, HH metres, of a floating platform is modelled by

H(t)=1.8sin(π6(t2))+4.5H(t)=1.8\sin\left(\frac{\pi}{6}(t-2)\right)+4.5

where tt is measured in seconds.

A

State the amplitude, period and phase shift of the model.

[3]
B

Find the maximum height of the platform and the first positive time at which this maximum occurs.

[2]
Question 9
SL • Paper 2
Medium
Calculator Permitted
SL • Paper 2
Medium
Calculator Permitted

The power, PP kilowatts, generated by a small wind turbine at wind speed vv metres per second is modelled by

P(v)=0.12v31.8v2+8vP(v)=0.12v^3-1.8v^2+8v

where 0v150\leq v\leq15.

A

Calculate the power generated when v=10v=10.

[2]
B

Find the wind speed at which the turbine generates 1818 kilowatts.

[2]
C

Explain why any solution outside the interval 0v150\leq v\leq15 should be rejected.

[1]
Question 10
SL • Paper 1
Medium
Calculator Permitted
SL • Paper 1
Medium
Calculator Permitted

The mass, MM grams, of leaves on a plant tt days after an experiment begins is modelled by

M(t)=at2+bt+cM(t)=at^2+bt+c

The measured masses are 1212 grams when t=0t=0, 2828 grams when t=4t=4, and 2222 grams when t=10t=10.

A

Find the values of aa, bb and cc.

[3]
B

Determine the maximum mass predicted by the model and the day on which it occurs.

[2]
C

The model predicts M(16)=20M(16)=-20. Explain why the model should not be used to predict the mass on day 1616.

[1]
Question 11
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

The sound level, SS decibels, produced by a machine operating at power xx kilowatts is modelled by

S(x)=a+blnxS(x)=a+b\ln x

where x>0x>0. The sound level is 1818 decibels when x=2x=2 and 4242 decibels when x=10x=10.

A

Find the values of aa and bb.

[3]
B

Find the power at which the predicted sound level is 5050 decibels.

[2]
C

State the domain restriction required by this model.

[1]
Question 12
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

The population, NN, of insects in a greenhouse is modelled by

N(t)=12001+Ce0.35tN(t)=\frac{1200}{1+Ce^{-0.35t}}

where tt is the number of weeks after observations begin. Initially there are 150150 insects.

A

Find the value of CC.

[2]
B

State the carrying capacity of the greenhouse.

[1]
C

Find the time at which the population first reaches 900900 insects.

[2]
D

Explain why a logistic model may be more appropriate than an exponential model for this population.

[1]
Question 13
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

The cost, C(x)C(x) euros, of delivering a package a distance of xx kilometres is modelled by

C(x)={p+1.8x,0x<10,q+1.2x,x10.C(x)= \begin{cases} p+1.8x, & 0\leq x<10,\\ q+1.2x, & x\geq10. \end{cases}

The initial delivery charge is €55, and the model is continuous at x=10x=10.

A

Find the value of pp.

[1]
B

Find the value of qq.

[2]
C

Calculate the cost of a delivery over a distance of 1616 kilometres.

[2]
Question 14
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

The number, yy thousands, of daily visits to a website was recorded over time. A best-fit straight line for a plot of lny\ln y against time tt days is

lny=1.47+0.082t\ln y=1.47+0.082t

A

Determine an exponential model of the form y=kerty=ke^{rt}.

[2]
B

Use the model to predict the number of daily visits when t=20t=20.

[1]
C

Calculate the doubling time predicted by the model.

[2]
Question 15
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

Data for positive variables xx and yy were analysed using three transformations. The following correlation coefficients were obtained:

  • a plot of yy against xx: r=0.941r=0.941;
  • a plot of lny\ln y against xx: r=0.998r=0.998;
  • a plot of lny\ln y against lnx\ln x: r=0.972r=0.972.

For the second plot, the best-fit line is

lny=2.20+0.315x\ln y=2.20+0.315x

The observed values of xx were between 11 and 66.

A

Identify the most appropriate of the linear, exponential and power models. Justify your answer.

[2]
B

Use the best-fit line to predict yy when x=8x=8.

[2]
C

State why the prediction in part (b) should be treated with caution.

[1]
Question 16
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

A force FF newtons and speed vv metres per second are believed to satisfy a power model

F=KvpF=Kv^p

A best-fit line for a plot of log10F\log_{10}F against log10v\log_{10}v is

log10F=0.602+1.75log10v\log_{10}F=-0.602+1.75\log_{10}v

A

Find the values of KK and pp, and hence write the power model.

[2]
B

Find the factor by which the force changes when the speed is multiplied by 33.

[2]
C

Find the speed at which the model predicts a force of 2020 newtons.

[2]
Question 17
SL • Paper 2
Medium
Calculator Permitted
SL • Paper 2
Medium
Calculator Permitted

An electric bicycle company charges according to the duration, tt minutes, for which a bicycle is hired. The cost, C(t)C(t) dollars, is modelled by

C(t)={6+0.18t,0t30,p+0.10t,30<t120.C(t)= \begin{cases} 6+0.18t, & 0\leq t\leq 30,\\ p+0.10t, & 30<t\leq120. \end{cases}

The cost model has no jump at t=30t=30. A competing company charges D(t)=9+0.07tD(t)=9+0.07t dollars for 0t1200\leq t\leq120.

A
I.

Calculate the cost of hiring a bicycle for 2525 minutes.

[1]
II.

Find the value of pp.

[2]
B

Find the duration of a hire costing $15 under the model CC.

[2]
C

Determine the durations for which hiring from the electric bicycle company is cheaper than hiring from the competing company.

[3]
Question 18
SL • Paper 2
Medium
Calculator Permitted
SL • Paper 2
Medium
Calculator Permitted

The value, V(t)V(t) dollars, of a specialized camera tt years after purchase is modelled by

V(t)=kert+120V(t)=ke^{-rt}+120

where k>0k>0, r>0r>0 and t0t\geq0. The camera initially costs $1320 and has a value of $780 after three years.

A
I.

Find the value of kk.

[1]
II.

Find the value of rr.

[3]
B

Calculate the predicted value of the camera after eight years.

[2]
C

A linear model through the two given values predicts that the camera will be worth a negative amount after eight years. Explain why the exponential model is more reasonable for long-term use.

[3]
Question 19
SL • Paper 2
Medium
Calculator Permitted
SL • Paper 2
Medium
Calculator Permitted

On a particular wet road, the stopping distance, ss metres, of a car varies directly with the square of its speed, vv kilometres per hour. The model is

s=kv2s=kv^2

At 50 km h150\ \text{km h}^{-1}, the stopping distance is 2828 m.

A
I.

Find the value of kk.

[2]
II.

State the factor by which the stopping distance changes when the speed is doubled.

[1]
B

Calculate the stopping distance predicted at 80 km h180\ \text{km h}^{-1}.

[2]
C

A driver needs the stopping distance to be no more than 4545 m. Determine the greatest speed predicted by the model and state one limitation of using this result.

[3]
Question 20
SL • Paper 2
Hard
Calculator Permitted
SL • Paper 2
Hard
Calculator Permitted

The cross-section of a decorative entrance is modelled by the quadratic function

h(x)=ax2+bx+ch(x)=ax^2+bx+c

where hh is the height in metres and xx is the horizontal distance in metres from the left-hand end. The curve passes through (0,1.2)(0,1.2), (4,5.6)(4,5.6) and (10,1.2)(10,1.2).

Parabolic entrance arch with three measured points.
A
I.

Write down the value of cc.

[1]
II.

Find the values of aa and bb.

[3]
B

Determine the maximum height of the entrance and the horizontal position at which it occurs.

[3]
C

A rectangular vehicle of height 2.002.00 m is to pass centrally through the entrance. Find the greatest possible width of the vehicle.

[3]
Question 21
SL • Paper 2
Hard
Calculator Permitted
SL • Paper 2
Hard
Calculator Permitted

An open rectangular box is made from a 3030 cm by 2020 cm sheet of card by cutting squares of side xx cm from each corner and folding up the sides. The volume is modelled by

V(x)=x(302x)(202x)V(x)=x(30-2x)(20-2x)

where 0<x<100<x<10.

A diagram of a rectangular sheet with equal corner squares labelled x removed, together with the resulting open box whose height is x and whose base dimensions are 30 minus 2x and 20 minus 2x.
A
I.

Show that V(x)=4x3100x2+600xV(x)=4x^3-100x^2+600x.

[2]
II.

Calculate the volume when x=3x=3.

[1]
B

Use your GDC to determine the value of xx that gives the maximum volume, and find this maximum volume.

[3]
C

A volume of exactly 900 cm3900\ \text{cm}^3 is required. Find all possible values of xx and explain why there are two possible box designs.

[4]
Question 22
SL • Paper 2
Hard
Calculator Permitted
SL • Paper 2
Hard
Calculator Permitted

The temperature, T(t)T(t) in degrees Celsius, inside a greenhouse is modelled over a repeating daily cycle. The variable tt is the number of hours after 15:00. The model is

T(t)=acos(bt)+dT(t)=a\cos(bt^\circ)+d

The maximum temperature is 32C32^\circ\text{C} at t=0t=0, the minimum temperature is 14C14^\circ\text{C}, and the period is 2424 hours. Assume that b>0b>0.

A
I.

Find the values of aa and dd.

[3]
II.

Find the value of bb.

[2]
B

Find the temperature at 21:00.

[1]
C

During each cycle, ventilation is required whenever the temperature is above 28C28^\circ\text{C}. Determine the total time for which ventilation is required.

[3]
Question 23
SL • Paper 2
Hard
Calculator Permitted
SL • Paper 2
Hard
Calculator Permitted

The yield, YY tonnes per hectare, of a crop is modelled by

Y(x)=ax2+bx+cY(x)=ax^2+bx+c

where xx is the mass of fertilizer applied in hundreds of kilograms per hectare. Measurements give Y(0)=2.4Y(0)=2.4, Y(4)=5.8Y(4)=5.8 and Y(10)=4.0Y(10)=4.0.

A
I.

Write down the value of cc.

[1]
II.

Find aa and bb.

[3]
B

Determine the fertilizer amount that maximizes the predicted yield, and state the maximum yield.

[3]
C

The measured fertilizer amounts were between 00 and 1010. The model predicts a negative yield when x=14x=14. Explain why this does not invalidate the model over the measured interval.

[3]
Question 24
SL • Paper 2
Hard
Calculator Permitted
SL • Paper 2
Hard
Calculator Permitted

The surface area, AA square metres, covered by a water plant was recorded every two days from day 00 to day 66. The results are shown in the table.

tt / days

AA / m2\text{m}^2

0

40

2

56

4

78.4

6

109.76

A
I.

Justify why an exponential model is appropriate for these data.

[2]
II.

Find an exponential model for AA in terms of tt, the time in days.

[2]
B

Determine when the model first predicts that the plant will cover 500 m2500\ \text{m}^2.

[2]
C
I.

A survey on day 1212 found an actual area of 290 m2290\ \text{m}^2. Calculate the model's prediction and comment on its accuracy.

[2]
II.

State one reason why predictions far beyond day 1212 should be treated with caution.

[1]
Question 25
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

The count rate, R(t)R(t) counts per minute, from a sample is modelled by

R(t)=12+AektR(t)=12+Ae^{-kt}

where tt is measured in hours. The constant value 1212 represents background radiation. Initially the count rate is 212212, and after six hours it is 8282.

A
I.

Find AA.

[1]
II.

Find kk.

[3]
B

Calculate the half-life of the count rate above background radiation.

[2]
C

Determine when the total count rate first reaches 2020 counts per minute, and explain why the total count rate itself does not halve every half-life.

[3]
Question 26
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

The number of bird species, SS, observed in a protected region of area AA square kilometres is modelled by

S(A)=a+blnA,A>0S(A)=a+b\ln A,\qquad A>0

A region of area 5 km25\ \text{km}^2 contains 4242 species, while a region of area 80 km280\ \text{km}^2 contains 7070 species.

A
I.

Form two equations involving aa and bb.

[1]
II.

Find aa and bb.

[3]
B

Determine the increase in the predicted number of species whenever the area is doubled.

[2]
C

Find the area for which the model predicts 8585 species, and comment on the reliability of this prediction.

[3]
Question 27
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

The charge, Q(t)Q(t) percent, of a battery during a rapid-charging process is modelled by

Q(t)={6t,0t<8,80Ce0.25(t8),t8,Q(t)= \begin{cases} 6t, & 0\leq t<8,\\ 80-Ce^{-0.25(t-8)}, & t\geq8, \end{cases}

where tt is measured in minutes. The model is continuous at t=8t=8.

A
I.

Find the charge predicted immediately before t=8t=8.

[1]
II.

Find CC.

[2]
B

Determine when the battery first reaches 70%70\% charge.

[2]
C

Calculate the charge predicted after 1414 minutes. Explain why extending the first linear rule to t=14t=14 would be inappropriate.

[3]
Question 28
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

A streaming company models the cumulative number of subscribers, N(t)N(t), by
N(t)=800001+CektN(t)=\frac{80000}{1+Ce^{-kt}}
where tt is the number of months after launch and C,k>0C,k>0. At launch there are 40004000 subscribers. After six months there are 3000030000 subscribers.

Logistic subscriber growth with capacity line and observations.
A
I.

Find the value of CC.

[1]
II.

Using the observation at six months, determine kk.

[3]
B
I.

Calculate the number of subscribers predicted after 1212 months.

[2]
II.

The subscriber population grows fastest when it reaches half its limiting value. Find when this occurs. If you did not obtain a value for kk, use k=0.406k=0.406.

[2]
C

For a logistic model P(t)=L1+CektP(t)=\dfrac{L}{1+Ce^{-kt}}, derive an expression for the time at which P(t)=pLP(t)=pL, where 0<p<10<p<1. Hence explain the effect on this time as pp approaches 11.

[4]
Question 29
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

The mass, MM grams, of a biodegradable coating remaining on an object was measured at different times. A linear regression of lnM\ln M on time tt, measured in days, gives
lnM=4.350.165t\ln M=4.35-0.165t
The recorded times lie between 00 and 1515 days.

Best-fit straight line for ln M against time over 0-15 days.
A
I.

Determine an exponential model of the form M(t)=AertM(t)=Ae^{rt}.

[2]
II.

Interpret the values of AA and rr in context.

[2]
B

Calculate the half-life of the coating.

[2]
C
I.

The measured mass on day 1818 is 4.404.40 grams. Calculate the percentage by which this measurement exceeds the model prediction.

[2]
II.

State two reasons why the day 1818 prediction should be treated cautiously.

[2]
Question 30
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

Engineers investigate how the heat-loss rate, HH kilowatts, from a building depends on wind speed, vv metres per second. The data were collected for 2v92\leq v\leq9. A regression of lnH\ln H on lnv\ln v gives
lnH=1.10+1.60lnv\ln H=-1.10+1.60\ln v

Observed log-log data with fitted line over the observed wind-speed range.
A
I.

Explain why the regression supports a power model H=KvpH=Kv^p.

[1]
II.

Determine KK and pp.

[3]
B

Find the factor by which the model predicts HH will change when the wind speed is doubled.

[2]
C
I.

Determine the wind speed at which the predicted heat-loss rate is 2020 kilowatts.

[2]
II.

Evaluate the reliability of this result.

[2]
Question 31
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

A factory models the daily cost, C(x)C(x) dollars, of producing xx units by
C(x)={120+8x,0x<20,ax+b,20x<50,460+4(x50),x50.C(x)=\begin{cases}120+8x,&0\leq x<20,\\ax+b,&20\leq x<50,\\460+4(x-50),&x\geq50.\end{cases}
The cost model is continuous at both production thresholds.

Production interval

Daily cost C(x)C(x) / dollars

0x<200\leq x<20

120+8x120+8x

20x<5020\leq x<50

ax+bax+b

x50x\geq50

460+4(x50)460+4(x-50)

A
I.

Use continuity at x=20x=20 and x=50x=50 to form two equations in aa and bb.

[2]
II.

Hence find aa and bb.

[3]
B

Calculate the cost of producing 3838 units and interpret the value of aa in context.

[2]
C
I.

Find the smallest integer production level for which the daily cost is at least 500500 dollars.

[2]
II.

Explain one advantage of this piecewise model over a single linear cost model.

[1]
Question 32
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

The yield, YY tonnes per hectare, of a crop is modelled in terms of fertilizer application, xx kilograms per hectare, by
Y(x)=a+blnx,x>0Y(x)=a+b\ln x,\qquad x>0
Field trials give Y(20)=4.5Y(20)=4.5 and Y(80)=7.3Y(80)=7.3.

A
I.

Show that b=2.8ln4b=\dfrac{2.8}{\ln4}.

[2]
II.

Find aa and bb, giving each value correct to three significant figures.

[2]
B

Determine the fertilizer application predicted to produce a yield of 88 tonnes per hectare.

[2]
C
I.

Find the increase in predicted yield when the fertilizer application is multiplied by 1.51.5.

[2]
II.

Explain why the model exhibits diminishing increases in yield for equal additions of fertilizer, and state one contextual limitation.

[2]
Question 33
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

Radiation detected near a sealed storage unit is modelled by
R(t)=B+AektR(t)=B+Ae^{-kt}
where RR is measured in counts per minute and tt is measured in hours. The background radiation level is 1212 counts per minute. Initially, R=92R=92, and after 55 hours, R=42R=42.

Exponential decay of detected radiation with background and threshold levels.
A
I.

Find AA and BB.

[2]
II.

Determine kk.

[3]
B

Calculate the half-life of the radiation level above background.

[2]
C
I.

Determine the time at which the detected radiation reaches 2020 counts per minute, and hence state when it is below this level.

[2]
II.

Find RR after two half-lives and explain why the total radiation level has not been divided by four.

[2]
Question 34
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

The tensile strength, SS megapascals, of a polymer is measured after nn thousand loading cycles. A regression of lnS\ln S on nn gives
lnS=6.120.184n\ln S=6.12-0.184n
The data were collected for 0n50\leq n\leq5.

Straight-line regression of ln S on loading cycles.
A
AI.

Determine an exponential model for SS in terms of nn.

[2]
AII.

Interpret the intercept of the transformed regression line.

[2]
B

Calculate the half-life of the tensile strength according to the model, giving your answer in loading cycles.

[2]
C
CI.

A component must be replaced when its predicted strength first falls below 150150 MPa. Determine the corresponding number of loading cycles.

[2]
CII.

Explain why this replacement prediction may not be reliable.

[2]
Question 35
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

Hydrologists model river discharge, QQ cubic metres per second, in terms of mean river depth, dd metres. For measurements with 1.5d81.5\leq d\leq8, a log-log regression gives
lnQ=2.30+2.40lnd\ln Q=-2.30+2.40\ln d

Observed log-log data and regression line for river discharge.
A
I.

Determine a power model Q=KdpQ=Kd^p.

[3]
II.

Interpret the exponent pp in terms of a percentage change.

[1]
B

Find the factor by which discharge changes when depth increases by 20%20\%.

[2]
C
I.

Determine the depth at which the model predicts a discharge of 5050 cubic metres per second.

[2]
II.

Evaluate whether this depth estimate should be used for flood planning.

[2]
Question 36
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

The number of daylight hours, D(t)D(t), at a location is modelled sinusoidally, where tt is the day number of a 365365-day year. The maximum daylight is 15.415.4 hours on day 172172, and the minimum daylight is 9.09.0 hours.

Sinusoidal daylight hours over a 365-day year.
A
I.

Find the amplitude and principal-axis value.

[2]
II.

Write down a suitable cosine model for D(t)D(t).

[3]
B

Calculate the predicted number of daylight hours on day 300300.

[2]
C
I.

Determine the range of day numbers during which the model predicts more than 1414 hours of daylight.

[3]
II.

State one reason why actual daylight measurements may differ from this model.

[1]
Question 37
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

The vertical position, H(t)H(t) metres, of a moving inspection platform is modelled by

H(t)=asin(b(tc))+dH(t)=a\sin(b(t-c))+d

where tt is measured in seconds and angles are measured in radians. The maximum height is 7.27.2 m, the minimum height is 2.82.8 m, and the platform crosses its principal axis moving upwards at t=1.5t=1.5 and at the next such crossing, t=9.5t=9.5. Take b>0b>0 and choose 0c<8 s0\le c<8\ \text{s}.

A
I.

Find aa and dd, taking a>0a>0.

[3]
II.

Find bb and cc.

[3]
B

During the cycle from t=1.5t=1.5 to t=9.5t=9.5, determine the two times at which the platform is at height 6.56.5 m.

[2]
C

Hence determine the length of time during this cycle for which the platform is above 6.56.5 m.

[2]
Question 38
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

The number of users, N(t)N(t), of a new regional transport card is modelled by

N(t)=500001+CektN(t)=\frac{50000}{1+Ce^{-kt}}

where tt is the number of months after its introduction and C,k>0C,k>0. Initially there are 20002000 users, and after four months there are 1000010000 users.

A
I.

Find CC.

[2]
II.

Find kk.

[3]
B

Determine when the number of users first reaches 80%80\% of the carrying capacity.

[2]
C
I.

Find the time at which the model's growth is fastest and interpret this point.

[2]
II.

An exponential model fitted only to the first two observations is E(t)=2000e(ln54)t=20005t/4E(t)=2000e^{(\frac{\ln 5}{4})t}=2000\cdot 5^{t/4}. Explain why the logistic model is more appropriate for long-term prediction.

[2]
Question 39
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

The mass, MM grams, of a biodegradable material was measured over time. A best-fit straight line for a plot of lnM\ln M against time tt days is

lnM=2.910.128t\ln M=2.91-0.128t

The correlation coefficient for the transformed data is ρ=0.997\rho=-0.997.

Transformed mass data with a decreasing best-fit line.
A
I.

Find an exponential model for MM in the form M=kertM=ke^{rt}.

[2]
II.

Interpret the value 0.128-0.128 in the transformed model.

[2]
B

Calculate the predicted mass after 1010 days. An observed mass at this time was 5.605.60 g; find the residual, defined as observed minus predicted.

[3]
C

Determine when the predicted mass first reaches 22 g, and state what the correlation coefficient ρ\rho suggests about the exponential model.

[2]
Question 40
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

The energy use, EE kilojoules per day, of an animal is believed to be related to its mass, mm kilograms, by a power model

E=KmpE=Km^p

A best-fit straight line for a plot of lnE\ln E against lnm\ln m is

lnE=1.12+0.734lnm\ln E=1.12+0.734\ln m

The transformed data have correlation coefficient r=0.996r=0.996.

A
I.

Find KK and pp.

[2]
II.

Write down the resulting power model.

[2]
B

Determine the factor by which the predicted energy use changes when the animal's mass is multiplied by 55.

[2]
C

Find the mass for which the model predicts an energy use of 100100 kJ per day. Comment on whether the transformed data support the proposed power relationship.

[3]
Question 41
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

The speed, VV kilometres per hour, of a tidal current is assumed to vary sinusoidally over an 1818-hour monitoring period. The maximum speed is 7.27.2 kilometres per hour and the minimum speed is 1.61.6 kilometres per hour. Successive maxima occur at t=3t=3 and t=15t=15, where tt is measured in hours.

Sinusoidal tidal current speed over 18 hours.
A
I.

Find the amplitude, principal-axis value and period of the model.

[3]
II.

Write down a suitable model in the form V(t)=acos(b(tc))+dV(t)=a\cos(b(t-c))+d.

[2]
B

A turbine operates only when the current speed exceeds 66 kilometres per hour. Determine the intervals during 0t180\leq t\leq18 when the turbine operates.

[4]
C
I.

Calculate the total operating time during the monitoring period.

[1]
II.

State one assumption of the sinusoidal model and explain how its failure could affect the operating-time prediction.

[2]
Question 42
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

An open rectangular box is made by cutting squares of side xx centimetres from each corner of a 3030 cm by 2020 cm sheet and folding up the sides. The volume is modelled by
V(x)=x(302x)(202x)V(x)=x(30-2x)(20-2x)

A rectangular sheet measuring $30$ cm by $20$ cm with four corner squares of side $x$ removed, together with the resulting open box labelled with height $x$ and base dimensions $30-2x$ and $20-2x$.
A
I.

State the contextual domain of xx.

[1]
II.

Expand V(x)V(x) and find V(x)V'(x).

[3]
B

Determine the value of xx that maximizes the volume and find the maximum volume.

[4]
C
I.

Find the range of values of xx for which the box has volume at least 1000 cm31000\ \text{cm}^3.

[3]
II.

Explain why the largest algebraic root is rejected.

[1]
Question 43
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

A new product has 500500 users when it is released. After four months it has 18001800 users. Two models are considered:

  • an exponential model E(t)=500ertE(t)=500e^{rt};
  • a logistic model L(t)=100001+CektL(t)=\dfrac{10000}{1+Ce^{-kt}}.

Here tt is measured in months, and 1000010000 is the estimated size of the potential market.

Exponential and logistic user-growth comparison with shared observations.
A
I.

Determine rr for the exponential model.

[2]
II.

Determine CC and kk for the logistic model.

[3]
B

Calculate the number of users predicted after 1010 months by each model.

[3]
C
I.

Using the logistic model, find when the number of users reaches 80%80\% of the potential market. If you did not obtain kk, use k=0.357k=0.357.

[2]
II.

Evaluate which model is more appropriate for long-term prediction.

[2]
Question 44
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

During a machine test, its internal temperature T(t)T(t), in degrees Celsius, is modelled by
T(t)={20+6t,0t<5,at+b,5t<12,862(t12),t12,T(t)=\begin{cases}20+6t,&0\leq t<5,\\at+b,&5\leq t<12,\\86-2(t-12),&t\geq12,\end{cases}
where tt is measured in minutes. The model is continuous.

Piecewise temperature model with a 70°C threshold.
A
I.

Form two equations in aa and bb using continuity.

[2]
II.

Hence find aa and bb.

[3]
B

A warning light is active whenever T(t)>70T(t)>70. Determine the total time for which the warning light is active.

[4]
C
I.

Interpret the value of the gradient in the final interval.

[1]
II.

State one limitation of extending the final linear rule indefinitely.

[1]
Question 45
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

Positive variables xx and yy are measured in an experiment for 1x101\leq x\leq10. Three transformations produce the following correlation coefficients:

  • yy against xx: r=0.954r=0.954;
  • lny\ln y against xx: r=0.991r=0.991;
  • lny\ln y against lnx\ln x: r=0.9996r=0.9996.

For the third plot, the best-fit line is
lny=0.620+1.35lnx\ln y=0.620+1.35\ln x

Comparison of correlation coefficients for the three transformations.
A
I.

Identify the most appropriate model from linear, exponential and power models. Justify your answer.

[2]
II.

Determine the corresponding model y=Kxpy=Kx^p.

[2]
B

Use the model to predict yy when x=12x=12.

[2]
C
I.

Find the constant factor by which yy changes when xx is doubled.

[2]
II.

Give two reasons why the prediction in part (b) should be treated cautiously.

[2]
III.

State why zero values could not be included in the log-log regression.

[1]
Question 46
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

The height, H(t)H(t) metres, of a young tree is modelled by

H(t)=18(1ekt)H(t)=18(1-e^{-kt})

where tt is the number of years after planting and k>0k>0. The tree has height 88 m after four years. For a larger set of trees, a best-fit line for a plot of z=ln(18H)z=\ln(18-H) against tt is

z=2.870.139tz=2.87-0.139t

A
I.

Using the single-tree model, find kk.

[3]
II.

Determine when this model predicts that the tree will reach 1515 m.

[1]
B

Show that the model H(t)=18(1ekt)H(t)=18(1-e^{-kt}) can be linearized in the form

ln(18H)=ln18kt\ln(18-H)=\ln18-kt

[2]
C
I.

Use the best-fit line to obtain a model for HH in the form H=18AektH=18-Ae^{-kt}.

[2]
II.

Compare the two estimates of kk and evaluate whether the fitted model is consistent with the single-tree observation.

[2]
Question 47
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

A population P(t)P(t) of organisms in a controlled habitat satisfies
dPdt=0.48P(1P2400)\frac{dP}{dt}=0.48P\left(1-\frac{P}{2400}\right)
where tt is measured in weeks and P(0)=120P(0)=120. The corresponding logistic model has the form
P(t)=24001+Ce0.48tP(t)=\frac{2400}{1+Ce^{-0.48t}}

Quadratic growth-rate curve with the reference line g = 200.
A
I.

Find CC.

[1]
II.

Calculate the population after 1010 weeks.

[2]
III.

State the long-term population predicted by the model.

[1]
B

Show that the maximum growth rate occurs when P=1200P=1200, and find this maximum rate.

[4]
C
I.

Find the two population sizes for which the growth rate is 200200 organisms per week.

[2]
II.

Determine the two times at which these growth rates occur. If you did not obtain the populations in part (c)(i), use P=536.675P=536.675 and P=1863.325P=1863.325.

[2]
III.

Explain why the same growth rate occurs at two different population sizes.

[1]
Question 48
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

A restoration project begins with 66 hectares of established tree canopy. After three years, the canopy covers 1515 hectares. Two models are proposed:
E(t)=6ertE(t)=6e^{rt}
and
L(t)=801+CektL(t)=\frac{80}{1+Ce^{-kt}}
where tt is measured in years. The value 8080 hectares is an estimated maximum area available for tree canopy.

Comparison of exponential and logistic canopy models.
A
I.

Determine rr for the exponential model.

[2]
II.

Determine CC and kk for the logistic model.

[3]
B

Determine when each model predicts that the canopy will first cover 6060 hectares.

[4]
C
I.

Explain why the two predictions diverge despite both models fitting the two observations exactly.

[2]
II.

Recommend one additional observation that would be useful for choosing between the models, and justify your answer.

[1]

Linear Equations & Graphs