For the function with rule `f(x) = x^3 - 4x`, the average rate of change of `f(x)` with respect to `x` on the interval `[1,3]` is
A. `1`
B. `3`
C. `5`
D. `6`
E. `9`
Aussie Maths & Science Teachers: Save your time with SmarterEd
For the function with rule `f(x) = x^3 - 4x`, the average rate of change of `f(x)` with respect to `x` on the interval `[1,3]` is
A. `1`
B. `3`
C. `5`
D. `6`
E. `9`
`=> E`
| `text(Average ROC)` | `= (f(3) – f(1))/(3 – 1)` |
| `=(15-(-3))/2` | |
| `= 9` |
`=> E`
The decreasing value of a depreciating asset is shown in the graph below.
Let `A_n` be the value of the asset after `n` years, in dollars.
What recurrence relation below models the value of `A_n`?
`D`
`text(The asset is decreasing at 12.5% per year)`
`text(on a decreasing balance basis.)`
| `A_1` | `= 120\ 000(1 – 0.125)^1` |
| `vdots` | |
| `A_n` | `= 120\ 000(1 – 0.125)^n` |
`=> D`
Derek invests $48 000 in an investment that guarantees an annual interest rate of 4.8%, compounded monthly.
Let `V_n` be the value of the investment after `n` months.
Which recurrence relation below models the investment?
`D`
`text(Monthly interest rate)`
`= (4.8%)/12`
`= 0.4%`
`= 0.004`
`:. V_(n + 1) = 1.004V_n`
`=> D`
Part 1
Candy deposits $80 000 into a savings account that earns 5% interest per annum, compounded annually.
At the end of the first year, Candy withdraws $5600.
What is the balance of Candy's savings account at the start of the second year?
Part 2
If `B_n` is the balance of Candy's account at the start of year `n`, a recurrence equation that can be used to model the balance of the account over time is
`text(Part 1:)\ C`
`text(Part 2:)\ E`
`text(Part 1)`
`text(Balance at start of 2nd year)`
`= 80\ 000 xx 1.05 – 5600`
`= $78\ 400`
`=> C`
`text(Part 2)`
| `B_2` | `= 80\ 000 xx 1.05 – 5600` |
| `= 1.05B_1 – 5600` | |
| `B_3` | `= 1.05B_2 – 5600` |
| `vdots` | |
| `B_(n + 1)` | `= 1.05B_n – 5600` |
`=> E`
Luke purchased a new pizza oven for his restaurant for $23 500.
He can depreciate the pizza oven using the reducing balance method at a rate of 12.5% per year.
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Luke has been advised that he can use flat rate depreciation at 10% of the purchase price.
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| a. | `V_0` | `= 23\ 500` |
| `V_1` | `= 23\ 500-(12.5text(%) xx 23\ 500)` | |
| `= 0.875 V_0` | ||
| `V_2` | `= 0.875(0.875V_0)` | |
| `= 0.875 V_1` |
`:.\ text(Recurrence relationship:)`
`V_0 = 23\ 500,qquadV_(n + 1) = 0.875V_n`
| b. | `V_1` | `= 0.875 xx 23\ 500 = 20\ 562.50` |
| `V_2` | `= 0.875 xx 20\ 562.50 = 17\ 992.1875` | |
| `V_3` | `= 0.875 xx 17\ 992.1875 = 15\ 743.16…` | |
| `V_4` | `= 0.875 xx 15\ 743.16… = 13\ 775.26…` |
`:.\ text(The value drops below $15 000 in year 4.)`
c. `text(Value after 4 years using reducing balance)`
`= 13\ 775.26`
`text(Depreciation each year for flat rate)`
`= 10text(%) xx 23\ 500`
`= $2350`
`text(Value of pizza oven after 4 years,)`
`= 23\ 500-(4 xx 2350)`
`= $14\ 100`
`:.\ text(The flat rate depreciation method)`
`text(values the pizza oven highest.)`
Spiro is saving for a car. He has an account with $3500 in it at the start of the year. At the end of each month, Spiro adds another $180 to the account. The account pays 3.6% interest per annum, compounded monthly. --- 1 WORK AREA LINES (style=lined) --- --- 4 WORK AREA LINES (style=lined) --- --- 3 WORK AREA LINES (style=lined) ---
`V_0 = 3500,qquadV_(n + 1) = V_n xx 1.003 + 180`
a.i.
`text(Interest rate)`
`= 3.6/12`
`= 0.3text(% per month)`
a.ii.
`V_0`
`= 3500`
`V_1`
`= 3500 xx 1.003 + 180`
`V_2`
`= V_1 xx 1.003 + 180`
`vdots`
`V_(n + 1)`
`= V_n xx 1.003 + 180`
`:.\ text(Recurrence relationship:)`
b.
`V_1`
`= 3500 xx 1.003 + 180 = $3690.50`
`V_2`
`= 3690.50 xx 1.003 + 180 = $3881.5715`
`V_3`
`= 3881.5715 xx 1.003 + 180`
`= $4073.216…`
`= $4073.22\ \ text{(nearest cent)}`
Joe buys a tractor under a buy-back scheme. This scheme gives Joe the right to sell the tractor back to the dealer through either a flat rate depreciation or unit cost depreciation. --- 4 WORK AREA LINES (style=lined) --- --- 4 WORK AREA LINES (style=lined) --- --- 3 WORK AREA LINES (style=lined) --- --- 5 WORK AREA LINES (style=lined) ---
`qquadP_0 = 56\ 000,qquadP_n = P_(n-1)-7000`
ii. `4\ text(years)`
ii. `text(The flat rate depreciation results in an extra)`
`text($125 depreciation each year.)`
`text(Find)\ n,` `= 2500 xx $2.75` `= $6875` `text(Annual flat rate depreciation = $7000)` `text(Difference)\ = 7000-6875 = $125` `:.\ text(The flat rate depreciation results in an extra)` `text($125 depreciation each year.)`
a.i.
`P_1`
`= P_0-7000`
`P_2`
`= P_0-7000-7000`
`= 56\ 000-7000 xx 2`
`vdots`
`P_n`
`= 56\ 000-7000n`
a.ii.
`text(Depreciated value)`
`= 56\ 000 ÷ 2=$28\ 000`
`28\ 000`
`= 56\ 000-7000n`
`7000n`
`= 28\ 000`
`:. n`
`= 4\ text(years)`
b.i.
`text(Distance travelled)`
`= ((56\ 000-28\ 000))/2.75`
`= 10\ 181.81…`
`= 10\ 182\ text{km (nearest km)}`
b.ii. `text(Annual depreciation of unit cost)`
A new skateboard park is to be built in Beachton.
This project involves 13 activities, `A` to `M`.
The directed network below shows these activities and their completion times in days.
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Write down the critical path for this project. (1 mark)
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The cost of reducing the completion time by one day for these activities is shown in the table below.
What is the minimum cost to complete the project in the shortest time possible? (1 mark)
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The new activity, `N`, will take six days to complete and has a float time of one day.
Activity `N` will finish at the same time as the project.
i. Add activity `N` to the network below. (1 mark)
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ii. What is the latest start time for activity `N`? (1 mark)
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| a. | `text(EST)` | `= 1 + 4 + 6` |
| `= 11\ text(days)` |
b. `text(Critical Path:)\ AEIK`
c. `text(Activity)\ H`
d. `text(Minimum days to complete is 14 days by reducing)`
`text(either)\ E\ text(or)\ I\ text(by 1 day.)`
`:. text(Minimum cost of $2000 when activity)\ I\ text(is reduced)`
`text(by 1 day.)`
| e.i. |
| e.ii. | `text(LST)` | `=\ text(critical path time − 6 days)` |
| `= 15-6` | ||
| `= 9\ text(days from the start.)` |
The suburb of Alooma has a skateboard park with seven ramps.
The ramps are shown as vertices `T`, `U`, `V`, `W`, `X`, `Y` and `Z` on the graph below.
The tracks between ramps `U` and `V` and between ramps `W` and `X` are rough, as shown on the graph above.
At which ramp does Nathan finish? (1 mark)
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The path she chooses does not include the two rough tracks.
Write down a path that Zoe could take from start to finish. (1 mark)
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He begins skating at ramp `X` and will complete a Hamiltonian cycle.
In how many ways could he do this? (1 mark)
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a. `text{The Eulerian trail (visits each edge exactly once):}`
“XYZWVZUYTU`
`:. text(Finishes at ramp)\ U.`
b. `text{Hamiltonian Paths (touch each vertex exactly once):}`
`XYTUZVW`
`XYTUZWV`
c. `text(Hamiltonian cycles:)`
`XYTUZVWX`
`XYTUVZWX`
`text(These two cycles can be reversed)`
`text(to add two more possibilities.)`
`XWVZUTYX`
`XWZVUTYX`
`:. 4\ text(ways.)`
A map of the roads connecting five suburbs of a city, Alooma (`A`), Beachton (`B`), Campville (`C`), Dovenest (`D`) and Easyside (`E`), is shown below.
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A graph that represents the map of the roads is shown below.
One of the edges that connects to vertex `E` is missing from the graph.
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A company produces two types of hockey stick, the ‘Flick’ and the ‘Jink’.
Let `x` be the number of Flick hockey sticks that are produced each month.
Let `y` be the number of Jink hockey sticks that are produced each month.
Each month, up to 500 hockey sticks in total can be produced.
The inequalities below represent constraints on the number of each hockey stick that can be produced each month.
| Constraint 1 | `x >= 0` | Constraint 2 | `y >= 0` |
| Constraint 3 | `x + y <= 500` | Constraint 4 | `y <= 2x` |
There is another constraint, Constraint 5, on the number of each hockey stick that can be produced each month.
Constraint 5 is bounded by Line `A`, shown on the graph below.
The shaded region of the graph contains the points that satisfy constraints 1 to 5.
The profit, `P`, that the company makes from the sale of the hockey sticks is given by
`P = 62x + 86y`
The profit made on the Flick hockey sticks is `m` dollars per hockey stick.
The profit made on the Jink hockey sticks is `n` dollars per hockey stick.
The maximum profit of $42 000 is made by selling 400 Flick hockey sticks and 100 Jink hockey sticks.
What are the values of `m` and `n`? (2 marks)
a. `text(Constraint 4 means the number of Jink sticks)`
`text(produced each month is less than or equal to)`
`text(twice the number of flick sticks produced each)`
`text(month.)`
b. `y <= 300`
c. `text(From the equation, 1 Jink stick produces a)`
`text(higher profit than 1 Flick stick.)`
`text(Maximum profit at)\ (200,300)`
| `P` | `= (62 xx 200) + (86 xx 300)` |
| `= $38\ 200` |
d. `Q = mx + ny`
`text(Max profit at)\ (400,100)`
`(400,100)\ text(lies on)\ x + y = 500`
`=>\ text(Max profit equation has the same)`
`text(gradient as the profit line.)`
`=> m = −1, m = n`
`text(Using the maximum profit = $42 000,)`
| `400m + 100n` | `= 42\ 000` |
| `500m` | `= 42\ 000` |
| `m` | `= (42\ 000)/500` |
| `= 84` |
`:. m = n = 84`
The bonus money is provided by a company that manufactures and sells hockey balls.
The cost, in dollars, of manufacturing a certain number of balls can be found using the equation
cost = 1200 + 1.5 × number of balls
Find the selling price of one hockey ball. (1 mark)
Maria is a hockey player. She is paid a bonus that depends on the number of goals that she scores in a season.
The graph below shows the value of Maria’s bonus against the number of goals that she scores in a season.
Another player, Bianca, is paid a bonus of $125 for every goal that she scores in a season.
How many goals did Maria and Bianca each score in the season? (1 mark)
A travel company arranges flight (`F`), hotel (`H`), performance (`P`) and tour (`T`) bookings.
Matrix `C` contains the number of each type of booking for a month.
`C = [(85),(38),(24),(43)]{:(F),(H),(P),(T):}`
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A booking fee, per person, is collected by the travel company for each type of booking.
Matrix `G` contains the booking fees, in dollars, per booking.
`{:((qquadqquadquadF,\ H,\ P,\ T)),(G = [(40,25,15,30)]):}`
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a. `text(Order:)\ 4 xx 1`
| b.i. | `J = [(40,25,15,30)][(85),(38),(24),(43)]= [6000]` |
b.ii. `J\ text(represents the total booking fees for the)`
`text(travel company in the given month.)`
During a game of golf, Salena hits a ball twice, from `P` to `Q` and then from `Q` to `R`.
The path of the ball after each hit is shown in the diagram below.
After Salena’s first hit, the ball travelled 80 m on a bearing of 130° from point `P` to point `Q`.
After Salena’s second hit, the ball travelled 100 m on a bearing of 054° from point `Q` to point `R`.
Use the cosine rule to find the distance travelled by this ball.
Round your answer to the nearest metre. (2 marks)
Round your answer to the nearest degree. (1 mark)
| a. | ![]() |
| `PR^2` | `= PQ^2 + QR^2 – 2 xx PQ xx QR xx cos104^@` |
| `= 80^2 + 100^2 – 2 xx 80 xx 100 xx cos104^@` | |
| `= 20\ 270.75…` | |
| `= 142.37…` | |
| `= 142\ text{m (nearest m)}` |
b. `text(Find)\ angle RPQ.`
`text(Using the sin rule),`
| `(sin angleRPQ)/100` | `= (sin104^@)/142` |
| `sin angle RPQ` | `= (100 xx sin104^@)/142` |
| `= 0.683…` | |
| `angle RPQ` | `= 43.1^@\ \ (text(1 d.p.))` |
`:. text(Bearing of)\ R\ text(from)\ P`
`= 130 – 43.1`
`= 086.9`
`= 087^@\ \ (text(nearest degree))`
Salena practises golf at a driving range by hitting golf balls from point `T`.
The first ball that Salena hits travels directly north, landing at point `A`.
The second ball that Salena hits travels 50 m on a bearing of 030°, landing at point `B`.
The diagram below shows the positions of the two balls after they have landed.
a. `text(Let)\ \ d\ text(= distance apart)`
| `sin30^@` | `= d/50` |
| `:. d` | `= 50 xx sin 30^@` |
| `= 25\ text(m)` |
b. `text(Let)\ \ x^@\ text(= angle of elevation from)\ T`
| `tanx` | `= 16.8/200` |
| `= 0.084` | |
| `:. x` | `= 4.801…` |
| `= 5^@\ text{(nearest degree)}` |
Ken has opened a savings account to save money to buy a new caravan.
The amount of money in the savings account after `n` years, `V_n`, can be modelled by the recurrence relation shown below.
`V_0 = 15000, qquad qquad qquad V_(n + 1) = 1.04 xx V_n`
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| `V_n =` |
|
`^n xx` |
|
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| a. | `text(Initial deposit)` | `= V_0` |
| `= $15\ 000` |
| b. | `V_0` | `= $15\ 000` |
| `V_1` | `= 1.04 xx 15\ 000` | |
| `= $15\ 600` | ||
| `V_2` | `= 1.04 xx 15\ 600` | |
| `= $16\ 224\ text(… as required.)` |
| c. | `text(Annual compound interest)` | `= 0.04 xx 100` |
| `= 4 text(%)` |
| d.i. | `V_n` | `= 1.04^n xx V_0` |
| d.ii. | `V_10` | `= 1.04^10 xx 15\ 000` |
| `= $22\ 203.664…` | ||
| `= $22\ 203.66\ text{(nearest cent)}` |
The data in the table below shows a sample of actual temperatures and apparent temperatures recorded at a weather station. A scatterplot of the data is also shown.
The data will be used to investigate the association between the variables apparent temperature and actual temperature.
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| apparent temperature `=` |
|
`+` |
|
`xx` actual temperature |
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a. `text(Strong, positive and linear)`
b.i. `text(apparent temperature) = -1.7 xx 0.94 xx text(actual temperature)`
b.ii. `text(When actual temperature is 0°C, on average,)`
`text(the apparent temperature is)\ − 1.7^@\text(C.)`
c. `text(97% of the variation in the apparent temperature can be explained)`
`text(by the variation in the actual temperature.)`
d.i. `text(There is a linear relationship between the two variables.)`
d.ii. `text(The random pattern supports the assumption.)`
`text{(Students should refer to randomness or a lack of pattern}`
`text{explicitly here).}`
a. `text(Strong, positive and linear)`
b.i. `text(By calculator:)`
`text(apparent temperature) = -1.7 xx 0.94 xx text(actual temperature)`
| b.ii. | `text(When actual temperature is 0°C, on average,)` |
|
`text(the apparent temperature is)\ − 1.7^@\text(C.)` |
c. `text(97% of the variation in the apparent temperature can be explained)`
`text(by the variation in the actual temperature.)`
d.i. `text(There is a linear relationship between the two variables.)`
d.ii. `text(The random pattern supports the assumption.)`
`text{(Students should refer to randomness or a lack of pattern}`
`text{explicitly here).}`
A weather station records daily maximum temperatures.
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| a.i. | ![]() |
a.ii. `text(75%)`
| b.i. | `text(July – Positively skewed with an outlier.)` |
| `text(May – Symmetrical with no outliers.)` |
b.ii. `15.5^@\text(C)`
b.iii. `text{The median temperature in May (14.5°C)}`
`text(differs from the median temperature in July)`
`text{(just over 9°C). This difference is why the}`
`text(maximum daily temperature is associated)`
`text(with the month.)`
| a.i. | ![]() |
a.ii. `text(75%)`
| b.i. | `text(July – Positively skewed with an outlier.)` |
| `text(May – Symmetrical with no outliers.)` |
| b.ii. | `text(Upper fence)` | `= Q_3 + 1.5 xx IQR` |
| `= 11 + 1.5 xx (11 – 8)` | ||
| `= 11 + 4.5` | ||
| `= 15.5^@\text(C)` |
b.iii. `text{The median temperature in May (14.5°C)}`
`text(differs from the median temperature in July)`
`text{(just over 9°C). This difference is why the}`
`text(maximum daily temperature is associated)`
`text(with the month.)`
The dot plot below shows the distribution of daily rainfall, in millimetres, at a weather station for 30 days in September.
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The directed graph below shows the sequence of activities required to complete a project.
All times are in hours.
Part 1
The number of activities that have exactly two immediate predecessors is
Part 2
There is one critical path for this project.
Three critical paths would exist if the duration of activity
`text(Part 1:)\ C`
`text(Part 1:)\ B`
`text(Part 1)`
`I\ text(and)\ J`
`=> C`
`text(Part 2)`
`text(The possible paths are:)`
`ADIL – 19\ text(mins)`
`BEIL – 20\ text(mins)`
`BFJL – 17\ text(mins)`
`CGJL – 13\ text(mins)`
`CHKL – 19\ text(mins)`
`text(If)\ E\ text(were reduced by 1 hour,)\ BEIL\ text(will)`
`text{take 19 minutes (i.e. 3 critical paths of 19}`
`text{minutes would exist).}`
`=> B`
The following directed graph shows the flow of water, in litres per minute, in a system of pipes connecting the source to the sink.
The maximum flow, in litres per minute, from the source to the sink is
`C`
| `text(Maximum flow)` | `= 2 + 10 + 6` |
| `= 18\ \ text(litres/minute)` |
`=> C`
The point (3, –2) satisfies the inequality
`D`
`text(Consider option)\ D,`
| `y` | `< 5 – x` |
| `−2` | `< 5 – 3` |
| `−2` | `< 2\ \ \ text{(correct)}` |
`=> D`
Marcus is on the opposite side of a large lake from a horse and its stable. The stable is 150 m directly east of the horse. Marcus is on a bearing of 170° from the horse and on a bearing of 205° from the stable.
The straight-line distance, in metres, between Marcus and the horse is closest to
`E`
A water tank in the shape of a cylinder with a hemispherical top is shown below.
The volume of water that this tank can hold, in cubic metres, is closest to
`A`
| `V` | `=\ text(cylinder + half sphere)` |
| `= pir^2h + 1/2 xx 4/3 xx pir^3` | |
| `= pi xx 2^2 xx 5 + 1/2 xx 4/3 xx pi xx 2^3` | |
| `= 79.587…` | |
| `~~ 80\ text(m³)` |
`=> A`
The diagram above shows the position of three cities, A, B and C.
According to the diagram
`E`
`A\ text(and)\ C\ text(are on the same line)`
`text(of longitude.)`
`text(All other statements can be shown)`
`text(to be false.)`
`=> E`
The matrix equation below represents a pair of simultaneous linear equations.
`[(12,9),(m,3)][(x),(y)] = [(6),(6)]`
These simultaneous linear equations have no unique solution when `m` is equal to
`E`
| `[(x),(y)]` | `= [(12,9),(m,3)]^(−1)[(6),(6)]` |
| `= 1/((12 xx 3) – (9 xx m)) [(3,−9),(−m,12)][(6),(6)]` |
`text(No unique solution occurs when)\ \ Δ=0 :`
| `(12 xx 3) – (9 xx m)` | `= 0` |
| `9m` | `= 36` |
| `m` | `= 4` |
`=> E`
Consider the recurrence relation below.
`V_0 = 10\ 000,\ \ \ \ \ V_(n + 1) = 1.04 V_n + 500`
This recurrence relation could be used to model
`D`
`text(Each period, the model increases)`
`text(the previous value by 4% and then)`
`text(adds 500 to the total.)`
`=> D`
The purchase price of a car was $26 000.
Using the reducing balance method, the value of the car is depreciated by 8% each year.
A recurrence relation that can be used to determine the value of the car after `n` years, `C_n` , is
`A`
`C_0 = 26\ 000\ (text(given))`
`text(After 1 year:)`
| `C_1` | `= C_0 – (8text(%) xx C_0)` |
| `= 0.92 C_0` |
`text(After 2 years:)`
`C_2 = 0.92C_1`
`vdots`
`:.\ text(After)\ n\ text(years,)`
`C_(n + 1) = 0.92 C_n`
`=> A`
The table below shows the long-term average of the number of meals served each day at a restaurant. Also shown is the daily seasonal index for Monday through to Friday.
Part 1
The seasonal index for Wednesday is 0.84
This tells us that, on average, the number of meals served on a Wednesday is
Part 2
Last Tuesday, 108 meals were served in the restaurant.
The deseasonalised number of meals served last Tuesday was closest to
Part 3
The seasonal index for Saturday is closest to
`text(Part 1:)\ A`
`text(Part 2:)\ E`
`text(Part 3:)\ D`
`text(Part 1)`
`1 – 0.84 = 0.16`
`:.\ text(A seasonal index of 0.84 tell us)`
`text(16% less meals are served.)`
`=> A`
`text(Part 2)`
`text{Deseasonalised number (Tues)}`
`= text(actual number)/text(seasonal index)`
`= 108/0.71`
`~~ 152`
`=> E`
`text(Part 3)`
`text(S)text(ince the same number of deseasonalised)`
`text(meals are served each day.)`
| `text{S.I. (Sat)}/190` | `= 1.10/145` |
| `text{S.I. (Sat)}` | `= (1.10 xx 190)/145` |
| `= 1.44…` |
`=> D`
The table below gives the Human Development Index (HDI) and the mean number of children per woman (children) for 14 countries in 2007.
A scatterplot of the data is also shown.
Part 1
The scatterplot is non-linear.
A log transformation applied to the variable children can be used to linearise the scatterplot.
With HDI as the explanatory variable, the equation of the least squares line fitted to the linearised data is closest to
Part 2
There is a strong positive association between a country’s Human Development Index and its carbon dioxide emissions.
From this information, it can be concluded that
`text(Part 1:)\ A`
`text(Part 2:)\ D`
`text(Part 1)`
`=>A`
`text(Part 2)`
`text(A strong positive association does not mean)`
`text(an increase in one variable causes an increase)`
`text(in the other.)`
`=> D`
The scatterplot below shows life expectancy in years (life expectancy) plotted against the Human Development Index (HDI) for a large number of countries in 2011.
A least squares line has been fitted to the data and the resulting residual plot is also shown.
The equation of this least squares line is
life expectancy = 43.0 + 0.422 × HDI
The coefficient of determination is `r^2` = 0.875
Part 1
Given the information above, which one of the following statements is not true?
Part 2
In 2011, life expectancy in Australia was 81.8 years and the Human Development Index was 92.9
When the least squares line is used to predict life expectancy in Australia, the residual is closest to
`text(Part 1:)\ C`
`text(Part 1:)\ B`
`text(Part 1)`
`text(Consider option)\ C,`
`text(If HDI increases by 10,)`
`text(Increase in life expectancy)`
`= 0.422 xx 10`
`= 4.22\ text(years)`
`!= 43\ text(years)`
`=> C`
`text(Part 2)`
`text(Predicted life expectancy)`
`= 43.0 + 0.422 xx 92.90`
`= 82.20…`
| `:.\ text(Residual)` | `= 81.8 – 82.20…` |
| `= −0.40…` |
`=> B`
Part 1
The histogram below shows the distribution of the number of billionaires per million people for 53 countries.
Using this histogram, the percentage of these 53 countries with less than two billionaires per million people is closest to
Part 2
The histogram below shows the distribution of the number of billionaires per million people for the same 53 countries as in Part 1, but this time plotted on a `log_10` scale.
Based on this histogram, the number of countries with one or more billionaires per million people is
`text(Part 1:)\ D`
`text(Part 1:)\ E`
`text(Part 1)`
`text(Percentage with less than 2)`
`= text(countries with less than 2)/text(total countries)`
`= 49/((49 + 2 + 1 + 1))`
`= 49/53`
`~~ 92.4text(%)`
`=> D`
`text(Part 2)`
`text(Let)\ \ x=\ text(number of billionaires per million,)`
`text(Number of countries where)\ \ x >= 1,`
`=> log_10 x >= 0`
`:.\ text(Number of countries)`
`= 9 + 1`
`= 10`
`=> E`
The weights of male players in a basketball competition are approximately normally distributed with a mean of 78.6 kg and a standard deviation of 9.3 kg.
Part 1
There are 456 male players in the competition.
The expected number of male players in the competition with weights above 60 kg is closest to
Part 2
Brett and Sanjeeva both play in the basketball competition.
When the weights of all players in the competition are considered, Brett has a standardised weight of `z` = – 0.96 and Sanjeeva has a standardised weight of `z` = – 0.26
Which one of the following statements is not true?
`text(Part 1:)\ E`
`text(Part 2:)\ C`
`text(Part 1)`
`text(Find)\ ztext(-score of 60 kg)`
| `ztext(-score)` | `= (x – barx)/s` |
| `= (60 – 78.6)/9.3` | |
| `= −2` |
`text(Players with weight above 60 kg)`
`= 97.5text(%) xx 456`
`= 445`
`=> E`
`text(Part 2)`
`text(Calculate the weight of each player:)`
`text(Brett)`
| `−0.96` | `= (x – 78.6)/9.3` |
| `x` | `= (9.3 xx −0.96) + 78.6` |
| `~~ 69.7\ text(kg)` |
`text(Sanjeev)`
| `−0.26` | `= (x – 78.6)/9.3` |
| `x` | `= (9.3 xx −0.26) + 78.6` |
| `~~ 76.2\ text(kg)` |
`text(Consider)\ C,`
`76.182 + 2 = 78.182 < 78.6`
`:. C\ text(is not true.)`
`=> C`
Hillary is running a cooking class.
She has 31 students in the class and needs to give them 1 egg each for a recipe.
Eggs are sold in cartons of 12.
What is the least number of egg cartons that Hillary needs to buy?
| `1` | `2` | `3` | `4` |
|
|
|
|
|
`text(3 cartons)`
`text(The number of cartons needed)`
`= 31 ÷ 12`
`= 2\ \ text(remainder 7)`
`:.\ text(Hillary needs to buy 3 egg cartons.)`
Sandy has the exact coins below in her pocket.
She buys fruit for lunch that costs $1.75.
How much money does Sandy have left?
| `$0.08` | `$1.00` | `$1.10` | `$1.20` |
|
|
|
|
|
`$1.20`
`$1 xx 1 = $1`
`50¢ xx 3 = $1.50`
`20¢ xx 1 = 20¢`
`10¢ xx 2 = 20¢`
`5¢ xx 1 = 5¢`
`text(Total worth of coins)`
`= $1 + $1.50 + 20¢ + 20¢ + 5¢`
`= $2.95`
| `:.\ text(Money left)` | `= $2.95 – $1.75` |
| `= $1.20` |
Benson asked his friends what their favourite ice cream flavour was.
He recorded their answers in the table below but left off same labels.
Benson remembered that
How many of Benson's friends liked caramel the most?
`8`
`text(Using the graph and the information given,)`
`=>\ text(7 preferred strawberry,)`
`=>\ text(13 preferred chocolate.)`
`:.\ text(11 preferred vanilla and 8 liked caramel the most.)`
Tori wrote this correct number sentence.
`19 + 31 = 50`
Which of these number sentences is also correct?
|
|
`50 - 19 = 31` |
|
|
`50 + 31 = 19` |
|
|
`19 - 50 = 31` |
|
|
`31 + 50 = 19` |
`50 – 19 = 31`
`19+31=50`
`text(Deduct 19 from both sides,)`
| `19+31-19` | `=50-19` |
| `31` | `=50-19` |
| `50 – 19` | `=31` |
Bronte deducted 3 from each number to get the next number.
Which is Bronte's number pattern?
|
|
`5, 9, 13, 17,…` |
|
|
`4, 7, 10, 13,…` |
|
|
`43, 33, 23, 13,…` |
|
|
`22, 19, 16, 13,…` |
`22,19,16,13,…`
`22-3=19`
`19-3=16`
`16-3=13`
`:.\ text(The correct number pattern is:)`
`22,19,16,13,…`
Alison buys paper clips that come in three sizes, small, medium and large.
The picture shows the lengths of the small and large clips.
What could the length of the medium paper clip be?
| `text(1 centimetre)` | `text(5 centimetres)` | `text(7 centimetres)` | `text(11 centimetres)` |
|
|
|
|
|
`text(5 centimetres)`
`text(Small paper clip) = 6-1.5 = 4.5\ text(cm)`
`text(Large paper clip) = 16-9=7\ text(cm)`
`text(Among the choices given, only 5 cm is between)`
`text(4.5 cm and 7 cm.)`
`:.\ text(The medium paper clip could be 5 cm.)`
Grace used sticks to create a pattern.
She used 4 sticks in her first shape, 7 sticks in her second shape and 10 sticks in her third shape.
How many sticks are needed for the next shape in Grace's pattern?
| `9` | `10` | `11` | `13` |
|
|
|
|
|
`13`
`text(Each shape adds an extra 3 sticks.)`
`=>\ text(Sticks in the next shape)`
`=10+3`
`=13`
Jonah's soccer team got oranges at half time.
The quarters of oranges were put in a container.
How many whole oranges were cut into quarters and put in the container?
`4`
`text(There are 16 orange quarters in the container.)`
`=>\ text(Each orange is cut into 4 quarters.)`
`:.\ 4\ text(full oranges are needed.)`
Which of these adds up to more than $6?
|
|
`$4.30 + $1.65` |
|
|
`$2.35 + $3.55` |
|
|
`$3.45 + $2.55` |
|
|
`$3.30 + $2.75` |
`$3.30 + $2.75`
| `$4.30 + $1.65` | `= $5.95` |
| `$2.35 + $3.55` | `= $5.90` |
| `$3.45 + $2.55` | `= $6` |
| `$3.30 + $2.75` | `= $6.05` |
`:. $3.30 + $2.75`
Syd is 15 years old. Barney is 23 years old.
Callum is older than Syd but younger than Barney.
Which of these could be Callum's age?
| `8` | `21` | `26` | `38` |
|
|
|
|
|
`21`
`text(Syd’s age) < text(Callum’s age) < text(Barney’s age)`
`15 < text(Callum) < 23`
`:.\ text(Callum’s age could be 21)`
The weather report says there is 80% chance of rain tomorrow.
Which of these describes the chance of it raining tomorrow?
| `text(impossible)` | `text(unlikely)` | `text(likely)` | `text(certain)` |
|
|
|
|
|
`text(likely)`
`text(Anything over 50% chance is more likely than)`
`text(not of happening. Anything that is certain of)`
`text(happening must be 100% chance.)`
`:.\ text(80% chance is “likely”.)`
| `- 25 = 15` |
`40`
|
|
`= 15 + 25` |
| `= 40` |