Let \(g(x)\) be a function defined so that \(g^{\prime}(x)=\dfrac{1}{2 x+3}\) and \(g(1)=0, \ x \in \left(-\frac{3}{2}, \infty\right).\)
Find \(g(x)\). (3 marks)
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Let \(g(x)\) be a function defined so that \(g^{\prime}(x)=\dfrac{1}{2 x+3}\) and \(g(1)=0, \ x \in \left(-\frac{3}{2}, \infty\right).\)
Find \(g(x)\). (3 marks)
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\(g(x)=\dfrac{1}{2} \ln \left(\dfrac{2 x+3}{5}\right)\)
| \(g^{\prime}(x)\) | \(=\dfrac{1}{2 x+3}\) |
| \(g(x)\) | \(=\displaystyle \int \frac{1}{2 x+3}\,dx=\frac{1}{2} \int \frac{2}{2 x+3} \, dx=\frac{1}{2} \ln (2 x+3)+c\) |
\(\text{Given} \ \ g(1)=0:\)
\(\dfrac{1}{2} \ln(2+3)+c=0 \ \ \Rightarrow \ \ c=-\dfrac{1}{2} \ln 5\)
\(g(x)=\dfrac{1}{2} \ln (2 x+3)-\dfrac{1}{2} \ln 5=\dfrac{1}{2} \ln \left(\dfrac{2 x+3}{5}\right)\)
Let \(g(x)\) be a function defined for \(x>-\dfrac{3}{2}\) so that \(g^{\prime}(x)=\dfrac{1}{2 x+3}\) and \(g(1)=0\).
Find \(g(x)\). (2 marks)
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\(g(x)=\dfrac{1}{2} \ln \left(\dfrac{2 x+3}{5}\right)\)
| \(g^{\prime}(x)\) | \(=\dfrac{1}{2 x+3}\) |
| \(g(x)\) | \(=\displaystyle \int \frac{1}{2 x+3}\,dx=\frac{1}{2} \int \frac{2}{2 x+3} \, dx=\frac{1}{2} \ln (2 x+3)+c\) |
\(\text{Given} \ \ g(1)=0:\)
\(\dfrac{1}{2} \ln(2+3)+c=0 \ \ \Rightarrow \ \ c=-\dfrac{1}{2} \ln 5\)
\(g(x)=\dfrac{1}{2} \ln (2 x+3)-\dfrac{1}{2} \ln 5=\dfrac{1}{2} \ln \left(\dfrac{2 x+3}{5}\right)\)
Let \(f(x)=6 \sqrt{x+1}+5\).
Find the gradient of the tangent to \(y=f(x)\) at \(x=8\). (2 marks)
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\(\text{Gradient of tangent }=1\)
| \(f(x)\) | \(=6 \sqrt{x+1}+5\) |
| \(f^{\prime}(x)\) | \(=6 \times \dfrac{1}{2} \times(x+1)^{-\tfrac{1}{2}}=\dfrac{3}{\sqrt{x+1}}\) |
\(\text{At} \ \ x=8:\)
\(f^{\prime}(x)=\dfrac{3}{\sqrt{8+1}}=1\)
\(\therefore \ \text{Gradient of tangent }=1\)
Let \(f(x)=6 \sqrt{x+1}+5\).
Find the gradient of the tangent to \(y=f(x)\) at \(x=8\). (2 marks)
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\(\text{Gradient of tangent }=1\)
| \(f(x)\) | \(=6 \sqrt{x+1}+5\) |
| \(f^{\prime}(x)\) | \(=6 \times \dfrac{1}{2} \times(x+1)^{-\tfrac{1}{2}}=\dfrac{3}{\sqrt{x+1}}\) |
\(\text{At} \ \ x=8:\)
\(f^{\prime}(x)=\dfrac{3}{\sqrt{8+1}}=1\)
\(\therefore \ \text{Gradient of tangent }=1\)
A boxplot for the sale prices of a sample of 203 homes is shown.
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a. \(\text{Range}=900\,000\)
b. \(1\,350\,000\)
a. \(\text{Range}=1\,300\,000-400\,000=900\,000\)
b. \(IQR=900\,000-600\,000=300\,000\)
\(Q_3=900\,000\)
| \(\text{Upper Fence}\) | \(=Q_3+1.5 \times IQR\) |
| \(=900\,000+1.5 \times 300\,000\) | |
| \(=1\,350\,000\) |
An early learning centre runs seven different activities during its 40-day holiday program.
The activities are cooking \((C)\), drama \((D)\), gardening \((G)\), lunch \((L)\), music \((M)\), reading \((R)\) and sport \((S)\).
The timetabled order of the activities for day one of the holiday program is shown below.
\begin{array} {|c|c|}
\hline
\rule{0pt}{2.5ex} \ \ \text{9 am} \ \ \rule[-1ex]{0pt}{0pt} & \text{10 am} \rule[-1ex]{0pt}{0pt} & \text{11 am} \rule[-1ex]{0pt}{0pt} & \text{12 pm} \rule[-1ex]{0pt}{0pt} & \ \ \text{1 pm} \ \ \rule[-1ex]{0pt}{0pt} & \ \ \text{2 pm} \ \ \rule[-1ex]{0pt}{0pt} & \ \ \text{3 pm} \ \ \\
\hline
\rule{0pt}{2.5ex} \textit{C} \rule[-1ex]{0pt}{0pt} & \textit{D} \rule[-1ex]{0pt}{0pt} & \textit{G} \rule[-1ex]{0pt}{0pt} & \textit{L} \rule[-1ex]{0pt}{0pt} & \textit{M} \rule[-1ex]{0pt}{0pt} & \textit{R} \rule[-1ex]{0pt}{0pt} & \textit{S}\\
\hline
\end{array}
The timetabled order of the activities for day one is also shown in matrix \(X\) below.
\begin{aligned}
X = & \begin{bmatrix}
C \\
D \\
G \\
L \\
M \\
R\\
S \\
\end{bmatrix}
\end{aligned}
Matrix \(P\), shown below, is a permutation matrix used to determine the timetabled order of activities from one day to the next.
\begin{aligned}
P = & \begin{bmatrix}
0 & 0 & 0 & 0 & 0 & 1 & 0 \\
0 & 0 & 0 & 0 & 0 & 0 & 1 \\
0 & 0 & 1 & 0 & 0 & 0 & 0 \\
0 & 0 & 0 & 1 & 0 & 0 & 0 \\
0 & 0 & 0 & 0 & 1 & 0 & 0 \\
0 & 1 & 0 & 0 & 0 & 0 & 0 \\
1 & 0 & 0 & 0 & 0 & 0 & 0
\end{bmatrix}
\end{aligned}
A column matrix containing the timetabled order of activities on one day is multiplied by matrix \(P\) to determine the timetabled order of activities for the next day.
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a. \(\text{Gardening, lunch, music.}\)
b. \(\text{Drama, cooking, gardening, lunch, music, sport, reading.}\)
c. \(\text{Order of activities rotate on a 4 day cycle.}\)
\(\text{Over 40 days, there will be 10 cycles of activities}\)
a. \(\text{Activities held af the same time:}\)
\(\Rightarrow \ \text{correspond to 1’s in leading diagonal}\)
\(\text{Gardening, lunch, music.}\)
b.
\begin{aligned}X_2=P \times X=\begin{bmatrix}
R \\
S \\
G \\
L \\
M \\
D \\
C
\end{bmatrix}, \quad X_3=P \times X_2=\begin{bmatrix}
D \\
C \\
G \\
L \\
M \\
S \\
R
\end{bmatrix}
\end{aligned}
\(\text{Order on day 3:}\)
\(\text{Drama, cooking, gardening, lunch, music, sport, reading.}\)
c. \(P^4 \ \Rightarrow \ \text{identity matrix}\)
\(\text{Order of activities rotate on a 4 day cycle.}\)
\(\text{Over 40 days, there will be 10 cycles of activities}\)
An early learning centre offers a 10-week activity program for four-year-old children. There are 27 children enrolled in the program. They participate in three different activities over the 10 weeks. The activities are cooking \((C)\), gardening \((G)\) and music \((M)\).
The transition matrix \(K\), shown below, gives the expected proportion of children in the program who will change activities from one week to the next.
\begin{aligned}
& \quad \quad \ \ \ \textit{this week} \\
& \quad \ \ C \quad \quad G \ \quad \ \ M \\
K = & \begin{bmatrix}
0 & 0.76 & 0.36 \\
0.55 & 0 & 0.64 \\
0.45 & 0.24 & 0\\
\end{bmatrix}\begin{array}{l}
C\\
G\\
M
\end{array} \ \textit{next week} \\
\end{aligned}
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a. \(\text{No child does the same activity in two consecutive weeks.}\)
b.i. \(37.4\%\)
b.ii. \(2 \ \text{children}\)
a. \(\text{Leading diagonal made up of 0’s:}\)
\(\text{No child does the same activity in two consecutive weeks.}\)
b.i. \(\text{Find number of children cooking in week 10:}\)
\begin{aligned}K^9\begin{bmatrix}
27 \\
0 \\
0
\end{bmatrix}=\begin{bmatrix}
10.08 \ldots\\
9.96 \ldots \\
6.94 \ldots
\end{bmatrix}
\end{aligned}
\(\text{% children cooking}=\dfrac{10.08 \ldots}{27} \times 100=37.35 \ldots=37.4\% \ \text{(1 d.p.)}\)
b.ii. \(\text{At the start of week 3:}\)
\begin{aligned}K^2\begin{bmatrix}
27 \\
0 \\
0
\end{bmatrix}=\begin{bmatrix}
15.66 \\
7.776 \\
3.564
\end{bmatrix}
\end{aligned}
\(\text{Children who move from \(G\) (week 3) to \(M\) (week 4)}\)
\(=7.776 \times 0.24=1.886 \ldots=2 \ \text{children}\)
Declan is a filmmaker and content creator.
He has taken out a reducing balance loan to fund a new production.
Interest is calculated monthly and Declan makes monthly repayments.
Three rows of the amortisation table for Declan’s loan are shown below.
\begin{array}{|c|c|c|c|c|}
\hline
\hline \rule{0pt}{2.5ex}\quad \textbf{Payment} \quad & \quad\textbf{Payment} \quad & \quad\textbf{Interest} \quad& \textbf{Principal} & \quad\textbf{Balance}\quad\\
\textbf{number} & \textbf{(\$)} \rule[-1ex]{0pt}{0pt}& \textbf{(\$)} & \quad\textbf{reduction (\$)} \quad& \textbf{(\$)}\\
\hline \hline \rule{0pt}{2.5ex}0 \rule[-1ex]{0pt}{0pt}& 0.00 & 0.00 & 0.00 & 850\,000.00 \\
\hline \hline \rule{0pt}{2.5ex}1\rule[-1ex]{0pt}{0pt} & 15\,730.88 & 2975.00 & 12\,755.88 & 837\,244.12 \\
\hline \hline \rule{0pt}{2.5ex}2 \rule[-1ex]{0pt}{0pt}& 15\,730.88 & 2930.35 & 12\,800.53 & 824\,443.59 \\
\hline
\end{array}
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\begin{array}{|c|c|c|c|c|}
\hline
\hline \rule{0pt}{2.5ex}\quad \textbf{Payment} \quad & \quad\textbf{Payment} \quad & \quad\textbf{Interest} \quad& \textbf{Principal} & \quad\textbf{Balance}\quad\\
\textbf{number} & \textbf{(\$)} \rule[-1ex]{0pt}{0pt}& \textbf{(\$)} & \quad\textbf{reduction (\$)} \quad& \textbf{(\$)}\\
\hline \hline \rule{0pt}{2.5ex}0 \rule[-1ex]{0pt}{0pt}& 0.00 & 0.00 & 0.00 & 850\,000.00 \\
\hline \hline \rule{0pt}{2.5ex}1\rule[-1ex]{0pt}{0pt} & 15\,730.88 & 2975.00 & 12\,755.88 & 837\,244.12 \\
\hline \hline \rule{0pt}{2.5ex}2 \rule[-1ex]{0pt}{0pt}& 15\,730.88 & 2930.35 & 12\,800.53 & 824\,443.59 \\
\hline \hline \rule{0pt}{2.5ex}3 \rule[-1ex]{0pt}{0pt}& 15\,730.88 & & & \\
\hline
\end{array}
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a. \(\$ 850\,000\)
b. \(\text{Interest is lower (payment 2 vs payment 1) because it is based on}\)
\(\text{a reduced balance.}\)
c. \(\text{Interest}=\dfrac{4.2}{100} \times \dfrac{1}{12} \times 824\, 443.59=\$ 2885.55\)
\(\text{Principal reduction}=15\,730.88-2885.55=\$ 12\,845.33\)
\(\text{Balance}=824\,443.59-12\,845.33=\$811\,598.26\)
a. \(\$ 850\,000\)
b. \(\text{Interest is lower (payment 2 vs payment 1) because it is based on}\)
\(\text{a reduced balance.}\)
c. \(\text{Monthly interest}=\dfrac{4.2}{12}=0.35\%\)
\(\text{Calculating missing values in the table:}\)
\(\text{Interest}=\dfrac{0.35}{100} \times 824\, 443.59=\$ 2885.55\)
\(\text{Principal reduction}=15\,730.88-2885.55=\$ 12\,845.33\)
\(\text{Balance}=824\,443.59-12\,845.33=\$811\,598.26\)
An early learning centre contains three rooms, Nursery \((N)\), Toddler \((T)\) and Pre-kinder \((P)\).
The Nursery and Toddler rooms each have capacity for eight children and the Pre-kinder room has capacity for 20 children, as shown in matrix \(C\) below.
\begin{align*}
C=\left[\begin{array}{c}
8 \\
8 \\
20
\end{array}\right] \begin{aligned}
& N \\
& T \\
& P
\end{aligned}
\end{align*}
Matrix \(E\) shows enrolment numbers for each room for one week, Monday to Friday.
\begin{aligned}
& \quad \ \ \ Mon \quad Tue\quad Wed \ \ \ Thu \ \ \ Fri \\
E&=\begin{bmatrix}
6 & \quad 8 & \quad 8 & \quad 8 & \quad 5 \\
7 & \quad 8 & \quad 7 & \quad 8 & \quad 6 \\
18 & \ \ \ 18 &\ \ \ 17 &\ \ \ 15 &\ \ \ 13
\end{bmatrix}\begin{array}{l}
N \\
T \\
P
\end{array}\\
\end{aligned}
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a. \(\text{Order of matrix} \ \ E=3 \times 5\)
b. \(\text { Total enrolments for each day of the week.}\)
c.
\(F=\begin{bmatrix}1.25 & 0 & 0 \\ 0 & 1.5 & 0 \\ 0 & 0 & 0.9\end{bmatrix}\)
a. \(\text{Order of matrix} \ \ E=3 \times 5\)
b. \(\text { Total enrolments for each day of the week.}\)
c.
\(F=\begin{bmatrix}1.25 & 0 & 0 \\ 0 & 1.5 & 0 \\ 0 & 0 & 0.9\end{bmatrix}\)
Declan depreciates the value of his lighting equipment using flat rate depreciation.
The graph below shows the value, in dollars, of the lighting equipment, \(V_n\), after \(n\) years.
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a.i. \(V_0=40\,000 \quad V_{n+1}=V_n-8000\)
a.ii. \(V_n=40\,000-8000 \times n\)
b. \(\text{Depreciation}=20\%\)
a.i. \(\text{Recurrence relation:}\)
\(V_0=40\,000 \quad V_{n+1}=V_n-8000\)
a.ii. \(V_n=40\,000-8000 \times n\)
b. \(\text{Depreciation %}=\dfrac{8000}{40\,000} \times 100=20\%\)
Declan is a filmmaker and content creator.
He has taken out a reducing balance loan to fund a new production.
Interest is calculated monthly and Declan makes monthly repayments.
Three rows of the amortisation table for Declan’s loan are shown below.
\begin{array}{|c|c|c|c|c|}
\hline
\hline \rule{0pt}{2.5ex}\quad \textbf{Payment} \quad & \quad\textbf{Payment} \quad & \quad\textbf{Interest} \quad& \textbf{Principal} & \quad\textbf{Balance}\quad\\
\textbf{number} & \textbf{(\$)} \rule[-1ex]{0pt}{0pt}& \textbf{(\$)} & \quad\textbf{reduction (\$)} \quad& \textbf{(\$)}\\
\hline \hline \rule{0pt}{2.5ex}0 \rule[-1ex]{0pt}{0pt}& 0.00 & 0.00 & 0.00 & 850\,000.00 \\
\hline \hline \rule{0pt}{2.5ex}1\rule[-1ex]{0pt}{0pt} & 15\,730.88 & 2975.00 & 12\,755.88 & 837\,244.12 \\
\hline \hline \rule{0pt}{2.5ex}2 \rule[-1ex]{0pt}{0pt}& 15\,730.88 & 2930.35 & 12\,800.53 & 824\,443.59 \\
\hline
\end{array}
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\begin{array}{|c|c|c|c|c|}
\hline
\hline \rule{0pt}{2.5ex}\quad \textbf{Payment} \quad & \quad\textbf{Payment} \quad & \quad\textbf{Interest} \quad& \textbf{Principal} & \quad\textbf{Balance}\quad\\
\textbf{number} & \textbf{(\$)} \rule[-1ex]{0pt}{0pt}& \textbf{(\$)} & \quad\textbf{reduction (\$)} \quad& \textbf{(\$)}\\
\hline \hline \rule{0pt}{2.5ex}0 \rule[-1ex]{0pt}{0pt}& 0.00 & 0.00 & 0.00 & 850\,000.00 \\
\hline \hline \rule{0pt}{2.5ex}1\rule[-1ex]{0pt}{0pt} & 15\,730.88 & 2975.00 & 12\,755.88 & 837\,244.12 \\
\hline \hline \rule{0pt}{2.5ex}2 \rule[-1ex]{0pt}{0pt}& 15\,730.88 & 2930.35 & 12\,800.53 & 824\,443.59 \\
\hline \hline \rule{0pt}{2.5ex}3 \rule[-1ex]{0pt}{0pt}& 15\,730.88 & & & \\
\hline
\end{array}
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a. \(\$ 850\,000\)
b. \(\text{Interest is lower (payment 2 vs payment 1) because it is based on}\)
\(\text{a reduced balance.}\)
c. \(\text{Interest}=\dfrac{4.2}{100} \times \dfrac{1}{12} \times 824\, 443.59=\$ 2885.55\)
\(\text{Principal reduction}=15\,730.88-2885.55=\$ 12\,845.33\)
\(\text{Balance}=824\,443.59-12\,845.33=\$811\,598.26\)
d. \(\text{59 payments made before the final payment.}\)
a. \(\$ 850\,000\)
b. \(\text{Interest is lower (payment 2 vs payment 1) because it is based on}\)
\(\text{a reduced balance.}\)
c. \(\text{Interest}=\dfrac{4.2}{100} \times \dfrac{1}{12} \times 824\, 443.59=\$ 2885.55\)
\(\text{Principal reduction}=15\,730.88-2885.55=\$ 12\,845.33\)
\(\text{Balance}=824\,443.59-12\,845.33=\$811\,598.26\)
d. \(\text{Solve for \(N\) (by CAS):}\)
| \(N\) | \(=\boldsymbol{59.99 \ldots}\) |
| \(I(\%)\) | \(=4.2\) |
| \(PV\) | \(=850\,000\) |
| \(PMT\) | \(=-15\,730.88\) |
| \(FV\) | \(=0\) |
| \(PY\) | \(=CY=12\) |
\(\therefore \ \text{59 payments made before the final payment.}\)
The time series plot below shows the number of homes sold in a town each month over a four‑year period.
Month 1 is January 2016 and month 48 is December 2019.
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\begin{array}{|c|c|}
\hline \rule{0pt}{2.5ex}\quad \textbf{Year} \quad \rule[-1ex]{0pt}{0pt}& \textbf{Total number of sales}\\
\hline \rule{0pt}{2.5ex}2016 \rule[-1ex]{0pt}{0pt}& 361 \\
\hline \rule{0pt}{2.5ex}2017 \rule[-1ex]{0pt}{0pt}& 354 \\
\hline \rule{0pt}{2.5ex}2018 \rule[-1ex]{0pt}{0pt}& 358 \\
\hline \rule{0pt}{2.5ex}2019 \rule[-1ex]{0pt}{0pt}& 357 \\
\hline
\end{array}
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a. \(\text{Seasonality, irregular fluctuations.}\)
b. \(\text{Seasonal index(Sep)} =0.587\)
a. \(\text{Qualitative features of time series plot:}\)
\(\text{Seasonality}\)
\(\text{Irregular fluctuations}\)
b. \(\text{Sept avg}=\dfrac{15+20+20+15}{4}=17.5\)
\(\text {Monthly avg}=\dfrac{361+354+358+357}{48}=29.79 \ldots\)
\(\text{Seasonal index (Sep)}=\dfrac{17.5}{29.79 \ldots}=0.5874 \ldots=0.587\ \text{(3 d.p.)}\)
The scatterplot below shows the sale price of a home, in dollars, against the distance of the home from the city centre of Melbourne, in kilometres, distance from city centre.
The sample consists of three‑bedroom homes sold between 2016 and 2018
The equation of the least squares line for the data in the scatterplot is
sale price\(=1\,765\,353-35\,054 \times\)distance from city centre
The coefficient of determination is 0.0806
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\begin{array}{|l|l|}
\hline \rule{0pt}{2.5ex}\text {strength} \quad \quad \rule[-1ex]{0pt}{0pt}& \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \\
\hline \rule{0pt}{2.5ex}\text {direction} \rule[-1ex]{0pt}{0pt}& \\
\hline
\end{array}
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a. \(\text{Distance from city centre}\)
b. \(r=-0.284\)
c. \(\text{sale price}=1\,765\,353\)
d. \(\text{Extrapolation as 2 km lies outside the explanatory variable data range.}\)
e. \(\text{Strength: weak. Direction: negative}\)
f.i. \(\text{Sale price (est)}=1\,765\,353-35\,054 \times 15.5=1\,222\,016\)
\(\text{Actual sale price}=1\,250\,000\)
\(\text{Residual}=1\,250\,000-1\,222\,016=27\,984\)
f.ii.
a. \(\text{Distance from city centre}\)
b. \(\text{Since slope is negative}\)
\(r=-\sqrt{0.0806}=-0.284\)
c. \(\text{Find sale price when distance fran city centre}=0:\)
\(\text{sale price}=1\,765\,353\)
d. \(\text{Extrapolation as 2 km lies outside the explanatory variable data range.}\)
\(\text{(Note: interpolation/extrapolation should be referenced to the}\)
\(\text{explanatory variable range).}\)
e. \(\text{Strength: weak}\)
\(\text{Direction: negative}\)
f.i. \(\text{Sale price (est)}=1\,765\,353-35\,054 \times 15.5=1\,222\,016\)
\(\text{Actual sale price}=1\,250\,000\)
\(\text{Residual}=1\,250\,000-1\,222\,016=27\,984\)
f.ii.
The sale prices for homes in another suburb are normally distributed with a mean of $1 400 000.
A home in this suburb that sold for $952 000 has a standardised score of \(z=-1.60\)
Using the 68-95-99.7% rule, calculate the percentage of homes sold in this suburb with a sale price between $560 000 and $1 680 000. (2 marks)
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\(83.85 \%\)
\(\bar{x}=1\,400\,000, z\text{-score}\ (952\,000)=-1.6\)
\(\text {Using} \ \ z=\dfrac{x-\bar{x}}{s}:\)
\(-1.6=\dfrac{952\,000-1\,400\,000}{s} \ \Rightarrow \ s=280\,000\)
| \(z \text{-score }(560,000)\) | \(=\dfrac{560\,000-1\,400\,000}{280\,000}=-3\) |
| \(z \text{-score }(1\,680\,000)\) | \(=1\) |
\(\therefore \% \ \text{sale prices}=\dfrac{99.7 \%}{2}+\dfrac{68.0 \%}{2}=83.85 \%\)
Table 1, below, shows the prices in dollars, price, for a sample of 20 homes sold in an inner Melbourne suburb during 2017.
The type of home sold is either an apartment or a house.
Table 1
\begin{array}{|c|c|}
\hline \rule{0pt}{2.5ex}\quad \ \textit{Price(\$)}\quad \ \rule[-1ex]{0pt}{0pt}& \textit{Type} \\
\hline \rule{0pt}{2.5ex}350\,000 \rule[-1ex]{0pt}{0pt}& \ \ \text{apartment}\ \ \\
\hline \rule{0pt}{2.5ex}490\,000 \rule[-1ex]{0pt}{0pt}& \text{apartment}\\
\hline \rule{0pt}{2.5ex}500\,000 \rule[-1ex]{0pt}{0pt}& \text{apartment}\\
\hline \rule{0pt}{2.5ex}620\,000 \rule[-1ex]{0pt}{0pt}& \text{apartment}\\
\hline \rule{0pt}{2.5ex}720\,000 \rule[-1ex]{0pt}{0pt}\rule[-1ex]{0pt}{0pt}& \text{apartment}\\
\hline \rule{0pt}{2.5ex}830\,000 & \text{apartment}\\
\hline \rule{0pt}{2.5ex}875\,000 \rule[-1ex]{0pt}{0pt}& \text{apartment}\\
\hline \rule{0pt}{2.5ex}995\,000 \rule[-1ex]{0pt}{0pt}& \text{apartment}\\
\hline \rule{0pt}{2.5ex}1\,100\,000 \rule[-1ex]{0pt}{0pt}& \text{apartment}\\
\hline \rule{0pt}{2.5ex}1\,520\,000 \rule[-1ex]{0pt}{0pt}& \text{apartment}\\
\hline \rule{0pt}{2.5ex}800\,000 \rule[-1ex]{0pt}{0pt} & \text{house}\\
\hline \rule{0pt}{2.5ex}840\,000 \rule[-1ex]{0pt}{0pt}& \text{house}\\
\hline \rule{0pt}{2.5ex}920\,000 \rule[-1ex]{0pt}{0pt}& \text{house} \\
\hline \rule{0pt}{2.5ex}920\,000 \rule[-1ex]{0pt}{0pt}& \text{house}\\
\hline \rule{0pt}{2.5ex}1\,010\,000\rule[-1ex]{0pt}{0pt} & \text{house}\\
\hline \rule{0pt}{2.5ex}1\,263\,000 \rule[-1ex]{0pt}{0pt}& \text{house}\\
\hline \rule{0pt}{2.5ex}1\,398\,000 \rule[-1ex]{0pt}{0pt}& \text{house}\\
\hline \rule{0pt}{2.5ex}1\,460\,000\rule[-1ex]{0pt}{0pt} & \text{house}\\
\hline \rule{0pt}{2.5ex}1\,540\,000 \rule[-1ex]{0pt}{0pt}& \text{house} \\
\hline \rule{0pt}{2.5ex}1\,540\,000 \rule[-1ex]{0pt}{0pt} & \text{house}\\
\hline
\end{array}
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a. \(\text{Median}=920\,000\)
b. \(\text{Variable is nominal}\)
c.i. \(\text{Std deviation = \$346 466}\)
c.ii. \(\text {Apartment sale prices have a higher spread (standard deviation) than the}\)
\(\text{spread of house sale prices.}\)
d.
\begin{array}{|c|c|}
\hline \hline \rule{0pt}{2.5ex}\ \ \ \text {House}(\%) \ \ \ \rule[-1ex]{0pt}{0pt}& \text {Apartment}(\%) \\
\hline \hline \rule{0pt}{2.5ex}0 \rule[-1ex]{0pt}{0pt}& 30 \\
\hline \hline \rule{0pt}{2.5ex}40 \rule[-1ex]{0pt}{0pt}& 50 \\
\hline \hline \rule{0pt}{2.5ex}60 \rule[-1ex]{0pt}{0pt}& 20 \\
\hline \hline \rule{0pt}{2.5ex}100 \rule[-1ex]{0pt}{0pt}& 100 \\
\hline
\end{array}
a. \(\text{Median}=\dfrac{10^{\text{th}}+11^{\text{th}}}{2}=920\,000\)
b. \(\text{Type is qualitative and cannot be ordered}\)
\(\Rightarrow \ \text{Variable is nominal}\)
c.i. \(\text{By calculator,}\)
\(\text{Std deviation = \$346 466}\)
c.ii. \(\text {Apartment sale prices have a higher spread (standard deviation) than the}\)
\(\text{spread of house sale prices.}\)
d.
\begin{array}{|c|c|}
\hline \hline \rule{0pt}{2.5ex}\ \ \ \text {House}(\%) \ \ \ \rule[-1ex]{0pt}{0pt}& \text {Apartment}(\%) \\
\hline \hline \rule{0pt}{2.5ex}0 \rule[-1ex]{0pt}{0pt}& 30 \\
\hline \hline \rule{0pt}{2.5ex}40 \rule[-1ex]{0pt}{0pt}& 50 \\
\hline \hline \rule{0pt}{2.5ex}60 \rule[-1ex]{0pt}{0pt}& 20 \\
\hline \hline \rule{0pt}{2.5ex}100 \rule[-1ex]{0pt}{0pt}& 100 \\
\hline
\end{array}
The precedence table below shows the 12 activities required to complete a project. The duration in days and immediate predecessors are shown.
\begin{array}{|c|c|c|}
\hline \rule{0pt}{2.5ex}\ \ \textbf{Activity} \ \ & \ \ \textbf{Duration} \ \ & \textbf{Immediate predecessors} \\
\hline \rule{0pt}{2.5ex}A \rule[-1ex]{0pt}{0pt}& 4 & - \\
\hline \rule{0pt}{2.5ex}B \rule[-1ex]{0pt}{0pt}& 6 & A \\
\hline \rule{0pt}{2.5ex}C \rule[-1ex]{0pt}{0pt}& 8 & A \\
\hline \rule{0pt}{2.5ex}D \rule[-1ex]{0pt}{0pt}& 3 & A \\
\hline \rule{0pt}{2.5ex}E \rule[-1ex]{0pt}{0pt}& 9 & B\\
\hline \rule{0pt}{2.5ex}F \rule[-1ex]{0pt}{0pt}& 6 & C \\
\hline \rule{0pt}{2.5ex}G \rule[-1ex]{0pt}{0pt}& 7 & B, D, F \\
\hline \rule{0pt}{2.5ex}H \rule[-1ex]{0pt}{0pt}& 12 & C \\
\hline \rule{0pt}{2.5ex}I \rule[-1ex]{0pt}{0pt}& 6 & G, H \\
\hline \rule{0pt}{2.5ex}J \rule[-1ex]{0pt}{0pt}& 4 & E, I \\
\hline \rule{0pt}{2.5ex}K \rule[-1ex]{0pt}{0pt}& 3 & G, H \\
\hline \rule{0pt}{2.5ex}L \rule[-1ex]{0pt}{0pt}& 9 & J \\
\hline
\end{array}
The project is to be completed in minimum time.
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Four contractors, \(\text{P, Q, R}\) and \(\text{S}\), have been hired to complete work at one of four sites.
Each contractor will be allocated to a different site.
The cost for each contractor to complete the works, in dollars ($), is shown in the table below
The Hungarian algorithm is used to determine the minimum cost to complete the works.
Martha, the project manager, completes two steps of the Hungarian algorithm, as follows.
Which one of the following tables correctly displays the results after these two steps are completed?
\(B\)
\(\text{Using two steps of the Hungarian algorithm:}\)
\(\text{Step 1}\)
\(\text{Subtract minimum entry in each row from each element in that row.}\)
\(\text{This produces table in option A (eliminate A).}\)
\(\text{Step 2}\)
\(\text{Using the resultant table from step 1:}\)
\(\text{Subtract the minimum entry in each column from each element in that column.}\)
\(\text{This produces table in opton B.}\)
\(\text{Following step 2 only produces option C (eliminate C).}\)
\(\text{Step 2 followed by step 1 produces option D (eliminate D).}\)
\(\Rightarrow B\)
The network below shows the flow of water, in litres per minute, in a system of pipes connecting the source to the sink.
Part 1
What is the capacity of Cut 1?
Part 2
What is the maximum flow of water, in litres per minute, from source to sink?
Consider the following weighted graph.
The minimum spanning tree for this graph contains the edge with weight \(w\).
The length of this minimum spanning tree is
Consider the following weighted graph.
The minimum spanning tree for this graph contains the edge with weight \(w\).
The length of this minimum spanning tree is
Consider the following graph.
The number of Hamiltonian cycles in this graph, starting from \(E\), is
\(B\)
\(\text{Hamiltonian cycle – path that visits every vertex exactly once and returns}\)
\(\text{to starting vertex (\(E\)).}\)
\(EDCBAFE \ \ \text{and} \ \ EFABCDE.\)
\(\Rightarrow B\)
Kyle \((K)\), Lian \((L)\), Maggie \((M)\), Neil \((N)\) and Ophelia \((O)\) took part in a round-robin chess tournament in which each person played each of the others once. In each game there was a winner and a loser.
The winner of the tournament was determined by \(T=D+D^2\) where \(D\) and \(D^2\) are, respectively, the one-step and two-step dominance matrices.
Some of the individual match results were not recorded.
An incomplete matrix \(D\) is shown below.
The ' 1 ' in row \(K\), column \(M\) indicates that Kyle defeated Maggie.
\begin{aligned}
& \quad \ \ \ \ K \ \ \ \ \ L \ \ \ \ \ M \ \ \ \ N \ \ \ O \\
D=\ & \begin{array}{l}
K \\
L \\
M \\
N \\
O
\end{array}\begin{bmatrix}
0 & \ldots & 1 & \ldots & 0 \\
\ldots & 0 & 0 & \ldots & 0 \\
0 & 1 & 0 & 1 & 1 \\
\ldots & \ldots & 0 & 0 & 0 \\
1 & 1 & 0 & 1 & 0
\end{bmatrix}\\
\end{aligned}
The following information is known.
Which one of the following is matrix \(T\)?
| \begin{aligned} & \quad \ \ \ K \ \ \ L \ \ \ M \ \ \ N \ \ O \\ \textbf{A.}\ \ \ & \begin{array}{l} K \\ L \\ M \\ N \\ O \end{array}\begin{bmatrix} 0 & 2 & 1 & 2 & 1 \\ 1 & 0 & 0 & 1 & 0 \\ 2 & 2 & 0 & 3 & 1 \\ 1 & 1 & 1 & 0 & 0 \\ 2 & 2 & 1 & 2 & 0 \end{bmatrix}\\ \end{aligned} |
\begin{aligned} & \quad \ \ \ K \ \ \ L \ \ \ M \ \ \ N \ \ O \\ \quad \quad \quad \quad \textbf{B.}\ \ \ & \begin{array}{l} K \\ L \\ M \\ N \\ O \end{array}\begin{bmatrix} 0 & 2 & 1 & 2 & 1 \\ 1 & 0 & 1 & 1 & 0 \\ 2 & 3 & 0 & 2 & 1 \\ 1 & 1 & 0 & 0 & 0 \\ 2 & 2 & 1 & 2 & 0 \end{bmatrix}\\ \end{aligned} |
| \begin{aligned} & \quad \ \ \ K \ \ \ L \ \ \ M \ \ \ N \ \ O \\ \textbf{C.}\ \ \ & \begin{array}{l} K \\ L \\ M \\ N \\ O \end{array}\begin{bmatrix} 0 & 1 & 1 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 \\ 0 & 1 & 0 & 1 & 1 \\ 1 & 0 & 0 & 0 & 0 \\ 1 & 1 & 0 & 1 & 0 \end{bmatrix}\\ \end{aligned} |
\begin{aligned} & \quad \ \ \ K \ \ \ L \ \ \ M \ \ \ N \ \ O \\ \quad \quad \quad \quad \textbf{D.}\ \ \ & \begin{array}{l} K \\ L \\ M \\ N \\ O \end{array}\begin{bmatrix} 0 & 0 & 1 & 1 & 0 \\ 1 & 0 & 0 & 0 & 0 \\ 0 & 1 & 0 & 1 & 1 \\ 0 & 1 & 0 & 0 & 0 \\ 1 & 1 & 0 & 1 & 0 \end{bmatrix}\\ \end{aligned} |
\(B\)
\(\text{Complete matrix \(D\) using information given:}\)
\(\text{Kyle had 2 wins → Maggie and Neil.}\)
\(\text{Kyle loses to Lian and Ophelia.}\)
\(\text{Lian must lose to Maggie, Neil, and Ophelia}\)
\(\text{Neil must lose to Kyle, Maggie, and Ophelia.}\)
\begin{aligned}
& \quad \ \ \ K \ \ \ L \ \ \ M \ \ N \ \ O \\
D=\ & \begin{array}{l}
K \\
L \\
M \\
N \\
O
\end{array}\begin{bmatrix}
0 & 0 & 1 & 1 & 0 \\
1 & 0 & 0 & 0 & 0 \\
0 & 1 & 0 & 1 & 1 \\
0 & 1 & 0 & 0 & 0 \\
1 & 1 & 0 & 1 & 0\end{bmatrix}\\
\end{aligned}
\(D+D^2 \ \ \text{ produces matrix in option B.}\)
\(\Rightarrow B\)
Consider the following four matrices.
\begin{align*}
A=\begin{bmatrix}
4 & 6 \\
-2 & -3
\end{bmatrix}\quad B=\begin{bmatrix}
4 \\
2 \\
8
\end{bmatrix} \quad C=\begin{bmatrix}
5 & 0 \\
2 & 5 \\
3 & 1
\end{bmatrix}\quad D=\begin{bmatrix}
3 & -2 & 5
\end{bmatrix}
\end{align*}
Which one of the following computations is defined?
\(B\)
\(\text{Option A: \( A+B\) is not defined (eliminate)}\)
\(\text{Option B: \(C^{\text{T}}BD\) is defined (see below)}\)
\(C^{\text{T}}=(2 \times 3)\ \text{matrix. }\ C^{\text{T}} B=(2 \times 3)(3 \times 1)=(2 \times 1)\)
\(C^{\text{T}} B D=(2 \times 1)(1 \times 3)=(2 \times 3)\)
\(\text{Option C: \(B D=(3 \times 3)\) matrix, \(C+B D\) is not defined (eliminate)}\)
\(\text{Option D: \(DA=(1 \times 3)(2 \times 2) \Rightarrow\) not defined (eliminate)}\)
\(\Rightarrow B\)
\(F\) is a \(4 \times 4\) matrix.
The element in row \(i\) and column \(j\) of \(F\) is \(f_{i j}\).
The elements are determined by the rule \(f_{i j}=i^2-j\).
How many of the elements in \(F\) will be negative?
\(B\)
\(\text{Constructing matrix} \ F:\)
\begin{aligned}\begin{bmatrix}
1^2-1 & 1^2-2 & 1^2-3 & 1^2-4 \\
2^2-1 & 2^2-2 & 2^2-3 & 2^2-4 \\
3^2-1 & 3^2-2 & 3^2-3 & 3^2-4 \\
4^2-1 & 4^2-2 & 4^2-3 & 4^2-4
\end{bmatrix}=\begin{bmatrix}
0 & -1 & -2 & -3 \\
3 & 2 & 1 & 0 \\
8 & 7 & 6 & 5 \\
15 & 14 & 13 & 12
\end{bmatrix}
\end{aligned}
\(\Rightarrow B\)
Rita opens a savings account with an initial deposit of $4000.
The account earns interest compounding weekly. After the interest is added each week, Rita deposits an additional $50 into the account.
Assume there are exactly 52 weeks in one year.
The annual interest rate, compounding weekly, that is required to achieve a balance of $14 000 after three years is closest to
\(A\)
\(\text{Solve for} \ I \ \text {(by CAS):}\)
| \(N\) | \(=3 \times 52=156\) |
| \(I(\%)\) | \(=\boldsymbol{8.372…}\) |
| \(PV\) | \(=-4000\) |
| \(PMT\) | \(=-50\) |
| \(FV\) | \(=14\,000\) |
| \(PY\) | \(=CY=52\) |
\(\Rightarrow A\)
Donald invests $250 000 into a perpetuity at an interest rate of 5% per annum.
Donald receives a payment at the end of each year.
When will the sum of all annual payments to Donald first exceed $250 000?
\(C\)
\(\text{Initial payment}=\dfrac{5.0}{100} \times 250\, 000=\$ 12\,500\)
\(\text{Let}\ n=\text{number of payments}\)
\(\text{Find} \ n \ \text {when:}\)
\(n \times 12\,500=250\,000 \ \Rightarrow \ n=\dfrac{250\,000}{12\,500}=20 \ \text {payments}\)
\(\therefore \ \text {At end of 21 years, total payments}>\$250\,000\)
\(\Rightarrow C\)
Steve owns gardening equipment that had an initial value of $12 000.
He will use the unit cost method to depreciate the value of this equipment per hour used.
Steve uses the gardening equipment for 960 hours per year.
The value of the gardening equipment is $7680 after two years.
By what amount does the gardening equipment depreciate per hour used?
\(A\)
\(\text{Value loss }=12\,000-7680=$4320\)
\(\text{Hours of use }=2 \times 960=1920\ \text{hours} \)
\(\text{Depreciation per hour }=\dfrac{4320}{1920}=\$2.25\)
\(\Rightarrow A\)
The table below shows the life expectancy in years, life, and the number of doctors per 1000 people, doctors, for a sample of 10 countries in 2024. A scatterplot displaying the data is also shown.
Part 1
A logarithmic (base 10) transformation was applied to the variable life.
With \(\log _{10}(\textit{life})\) as the response variable, the equation of the least squares line fitted to the transformed data is closest to
Part 2
A squared transformation was applied to the variable \(doctors\).
The equation of the least squares line fitted to this transformed data is of the form \(\textit{life}=a+b \times(\textit{doctors})^2\).
Using this equation, the predicted \(life\), in years, for a country with two \(doctors\) per 1000 people is closest to
\(\text{Part 1:}\ C\)
\(\text{Part 2:}\ C\)
\(\text{Transform data in table (use for parts 1 and 2):}\)
\begin{array} {|c|c|c|c|}
\hline
\rule{0pt}{2.5ex}\ \ \textit{doctors} \ \ \rule[-1ex]{0pt}{0pt} & \log_{10}(\textit{life}) & \textit{doctors}^2 & \quad \textit{life} \quad \\
\hline
\rule{0pt}{2.5ex} 0.21 \rule[-1ex]{0pt}{0pt} & 1.810 &0.044 &64.6\\
\hline
\rule{0pt}{2.5ex} 0.42 \rule[-1ex]{0pt}{0pt} & 1.809 &0.176 &64.4\\
\hline
\rule{0pt}{2.5ex} 0.59 \rule[-1ex]{0pt}{0pt} & 1.811 &0.348 &64.7\\
\hline
\rule{0pt}{2.5ex} 0.79 \rule[-1ex]{0pt}{0pt} & 1.814 &0.624 &65.1\\
\hline
\rule{0pt}{2.5ex} 1.12 \rule[-1ex]{0pt}{0pt} & 1.819 &1.254 &65.9\\
\hline
\rule{0pt}{2.5ex} 1.42 \rule[-1ex]{0pt}{0pt} & 1.824 &2.016 &66.7\\
\hline
\rule{0pt}{2.5ex} 1.72 \rule[-1ex]{0pt}{0pt} & 1.836 &2.958 &68.6\\
\hline
\rule{0pt}{2.5ex} 1.77 \rule[-1ex]{0pt}{0pt} & 1.851 &3.133 &70.9\\
\hline
\rule{0pt}{2.5ex} 1.94 \rule[-1ex]{0pt}{0pt} & 1.868 &3.764 &73.8\\
\hline
\rule{0pt}{2.5ex}2.05 \rule[-1ex]{0pt}{0pt} & 1.898 &4.203 &79.1\\
\hline
\end{array}
\(\text{Part 1}\)
\(\text{Calculate LSRL (by CAS):}\)
\(\log _{10}(\textit{life})=1.7879 \ldots+0.03829 \ldots \times \textit{doctors}\)
\(\Rightarrow C\)
\(\text{Part 2}\)
\(\text{Calculate LSRL (by CAS):}\)
\(\textit{life}=63.1165+2.8419 \times \textit{doctors}^2\)
\(\text{Find}\ \textit{life}\ \text{when} \ \textit{doctors}=2:\)
\(\textit{life}=63.1165+2.8419 \times 2^2=74.48\ldots \ \text{years}\)
\(\Rightarrow C\)
In the scatterplot below, the games won are plotted against the goals against for each of the 12 Australian A-League men’s teams after 27 games of the 2022–2023 season. A least squares line has been fitted to the data.
Part 1
The equation for the least squares line is closest to
Part 2
The correlation coefficient between games won and goals against is \(r=-0.466\)
Based on the correlation coefficient, it can be concluded that
\(\text{Part 1:}\ A\)
\(\text{Part 2:}\ D\)
\(\text{Part 1}\)
\(\text{By calculator, input 10 data points.}\)
\(\text{Gradient (by CAS)}=-0.1776 \ldots\)
\(\Rightarrow A\)
\(\text{Part 2}\)
\(\text{Eliminate B and C (correlation is not causation).}\)
\(\text{More goals scored against is associated with fewer wins.}\)
\(\Rightarrow D\)
At a fruit shop, customers can buy avocados in bags.
The bag size ranges from one to six avocados per bag.
The histogram below shows the number of customers who bought each bag size on a particular day.
Part 1
The median bag size bought by customers on the day was
Part 2
The total number of avocados sold in bags was
\(\text{Part 1:}\ D\)
\(\text{Part 2:}\ D\)
\(\text{Part 1}\)
\(\text{Sum of columns}\ = 4+11+3+9+5+7=39\)
\(\text{Median = 20th value which is in the 4th column (bag size 4).}\)
\(\Rightarrow D\)
\(\text{Part 2}\)
\(\text{Total number of avocados}\)
\(=1 \times 4 + 2 \times 11+3 \times 3+4 \times 9+5 \times 5+6 \times 7 =138\)
\(\Rightarrow D\)
A block of ice is melting. The mass \(M\) kilograms of the ice block remaining at time \(t\) hours after it begins to melt is given by \(M(t)=50(12-3t)^2, 0 \leqslant t \leqslant 4\).
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a. \(\dfrac{dM}{dt}=-300(12-3t)\)
b. \(4\ \text{hours}\)
c. \(t=\dfrac{5}{3}\ \text{hours}\)
a. \(M(t)=50(12-3t)^2\)
\(\dfrac{dM}{dt}=50 \times 2 \times (-3) \times(12-3t)=-300(12-3t)\)
b. \(\text{Find}\ t\ \text{when}\ \ M(t)=0:\)
\(50(12-3t)^2=0 \ \Rightarrow \ t=4\)
\(\text{Ice block is completely melted at} \ \ t=4 \ \ \text {hours}\)
c. \(\text{Find}\ t \ \text{when}\ \ \dfrac{d M}{d t}=-2100:\)
| \(-300(12-3t)\) | \(=-2100\) |
| \(12-3t\) | \(=7\) |
| \(-3t\) | \(=-5\) |
| \(t\) | \(=\dfrac{5}{3}\ \text{hours}\) |
A cylindrical water tank is being filled. The volume \(V\) litres of water in the tank at time \(t\) minutes after filling begins is given by \(V(t)=500 \sqrt{(2 t+1)}, t \geqslant 0\).
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a. \(\dfrac{dV}{dt}= \dfrac{500}{\sqrt{2t+1}} \)
b. \(100\ \text{L/min} \)
c. \(\dfrac{15}{2}\ \text{mins}\)
a. \(V(t)=500(2t+1)^{\frac{1}{2}}\)
\(\dfrac{dV}{dt}=\dfrac{1}{2} \times 2 \times 500(2t+1)^{-\frac{1}{2}} = \dfrac{500}{\sqrt{2t+1}} \)
b. \(\text{When}\ \ t=12:\)
\(\dfrac{dV}{dt}= \dfrac{500}{\sqrt{25}} = 100\ \text{L/min} \)
c. \(\text{Find}\ t\ \text{when}\ \dfrac{dV}{dt}=125:\)
| \(125\) | \(=\dfrac{500}{\sqrt{2t+1}}\) | |
| \(\sqrt{2t+1}\) | \(=4\) | |
| \(2t+1\) | \(=16\) | |
| \(t\) | \(=\dfrac{15}{2}\ \text{mins}\) |
Five friends \((A, B, C, D, E)\) live in walking distance to each other's houses. The weighted network diagram below shows the walking time between the houses.
The table below summarises the same information. Fill in the missing table values in the shaded cells. (3 marks)
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Priya works as a sales representative and earns a base wage plus commission. A spreadsheet is used to calculate her weekly earnings.
Total weekly earnings = Base wage + Total sales \(\times\) Commission rate
A spreadsheet showing Priya's weekly earnings is shown.
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a. \(=\text{B4}+\text{B5}^*\text{B6}/100\)
b. \($22\, 500\)
c. \($1574\)
a. \(\text{Total weekly earnings} = \text{Base wage}+\text{Total sales} \times \text{Commission rate}\)
\(\therefore\ \text{Formula:}\ =\text{B4}+\text{B5}^*\text{B6}/100\)
b. \(\text{Total weekly earnings} = \text{Base wage}+\text{Total sales} \times \text{Commission rate}\)
\(\text{Let the Total sales}=S\)
| \(1437.50\) | \(=650+S\times \dfrac{3.5}{100}\) |
| \(787.50\) | \(=S\times \dfrac{3.5}{100}\) |
| \(S\) | \(=\dfrac{787.50\times 100}{3.5}=$22\,500\) |
\(\text{The amount of Priya’s total sales was \$22 500.}\)
c. \(\text{Base wage}=650\)
\(\text{Total sales}=$22\,000\)
\(\text{New commission rate}=4.2\%\)
| \(\text{Total weekly earnings}\) | \(=650+22\,000\times \dfrac{4.2}{100}\) |
| \(=650+924=$1574\) |
A company uses a spreadsheet to calculate employees' monthly salaries from their weekly salaries. The spreadsheet is shown below.
\(B\)
\(\text{Monthly salary} = \dfrac{\text{weekly salary} \times 52}{12}\)
\(\therefore\ \text{Formula:}\ =\text{B4}^*52/12\)
\(\Rightarrow B\)
Liam works in a factory assembling electronic components and is paid on a piecework basis. A spreadsheet is used to calculate his weekly earnings.
Weekly earnings = Number of units completed \(\times\) Rate per unit
A spreadsheet showing Liam's earnings for one week is shown.
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a. \(=\text{B4}^*\text{B5}\)
b. \(\text{Number of units completed}=543\)
a. \(\text{Weekly earnings} = \text{Number of units completed} \times \text{Rate per unit}\)
\(\text{Formula:}\ =\text{B4}^*\text{B5}\)
b. \(\text{Weekly earnings} = \text{Number of units completed} \times \text{Rate per unit}\)
\(\text{Let the Weekly earnings}=E\)
| \(2036.25\) | \(=E\times 3.75 \) |
| \(E\) | \(=\dfrac{2036.25}{3.75}=543\) |
Maria works as a freelance writer and earns income through royalties. A spreadsheet is used to calculate her monthly royalty earnings.
Royalties = Number of books sold \( \times \) Royalty rate per book
A spreadsheet showing Maria's royalty earnings is shown.
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a. \(=\text{B4}^*\text{B5}\)
b. \(\text{Number of books}=3144\)
a. \(\text{Total royalty earnings} = \text{Number of books sold} \times \text{Royalty rate per book}\)
\(\text{Formula:}\ =\text{B4}^*\text{B5}\)
b. \(\text{Total royalty earnings} = \text{Number of books sold} \times \text{Royalty rate per book}\)
\(\text{Let the Number of books sold}=N\)
| \(8960.40\) | \(=N\times 2.85 \) |
| \(N\) | \(=\dfrac{8960.40}{2.85}=3144\) |
A toy has a curved surface on the top which has been shaded as shown. The toy has a uniform cross-section and a rectangular base.
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a. \(34.68 \ \text{cm}^2\)
b. \(582.64 \ \text{cm}^2\)
a. \(\text{Solution 1}\)
| \(A\) | \(=\dfrac{5.1}{2}(6.0+3.8) + \dfrac{5.1}{2}(3.8+0) \) | |
| \(=34.68\ \text{cm}^2\) |
\(\text{Solution 2}\)
\(\begin{array}{|c|c|c|c|}
\hline\rule{0pt}{2.5ex} \quad x \quad \rule[-1ex]{0pt}{0pt}& \quad 0 \quad & \quad 5.1 \quad & \quad 10.2 \quad\\
\hline \rule{0pt}{2.5ex}y \rule[-1ex]{0pt}{0pt}& 6 & 3.8 & 0 \\
\hline
\end{array}\)
| \(A\) | \(\approx \dfrac{h}{2}\left(y_0+2y_1+y_2\right)\) |
| \(\approx \dfrac{5.1}{2}\left(6+2 \times 3.8+0\right)\) | |
| \(\approx 34.68 \ \text{cm}^2\) |
b. \(\text{Toy has 5 sides.}\)
\(\text{Area of base}=10.2 \times 40=408 \ \text{cm}^2\)
\(\text{Area of rectangle}=6.0 \times 40=240 \ \text{cm}^2\)
\(\text{Approximated areas}=2 \times 34.68=69.36 \ \text{cm}^2\)
| \(\therefore \ \text{Area of curved surface}\) | \(=1300-(408+240+69.36)=582.64 \ \text{cm}^2\) |
Fried's formula for determining the medicine dosage for children aged 1 - 2 years is:
\(\text{Dosage}=\dfrac{\text{Age of infant (months)}\ \times \ \text{adult dose}}{150}\)
The spreadsheet below is used as a calculator for determining an infant's medicine dosage according to Fried's formula.
Amber, a 12 month old child, is being discharged from hospital with two medications. Medicine A has an adult dosage of 325 milligrams and she is to take 26 milligrams. She must also take 9.6 milligrams of Medicine B but the equivalent adult dosage has been left off the spreadsheet.
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a. \(=\text{B5}^*\text{B6}/150\)
b. \(120 \ \text{milligrams}\)
a. \(=\text{B5}^*\text{B6}/150\)
b. \(\text{Let} \ A= \text{Adult dose}\)
\(\text{Using given formula:}\)
| \(9.6\) | \(=\dfrac{12 \times A}{150}\) |
| \(A\) | \(=\dfrac{9.6 \times 150}{12}=120 \ \text{milligrams}\) |
A company uses the spreadsheet below to calculate the fortnightly pay, after tax, of its employees.
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a. \(=\text{B6}-\text{C6}\)
b. \(\$3140.85\)
a. \(\text{Formula for Kim’s Salary after tax:}\)
\(=\text{B5}-\text{C5}\)
b. \(\text{Kim’s salary after tax}\ = \$81\,662\)
\(\text{Kim’s fortnightly pay}\ = \dfrac{81\,662}{26}=\$3140.85\)
The table shows the income tax rate for Australian residents for the 2024-2025 financial year.
\begin{array}{|l|l|}
\hline
\rule{0pt}{2.5ex}\textit{Taxable income} \rule[-1ex]{0pt}{0pt}& \textit{Tax on this income} \\
\hline
\rule{0pt}{2.5ex}0-\$18\,200 \rule[-1ex]{0pt}{0pt}& \text{Nil} \\
\hline
\rule{0pt}{2.5ex}\$18 \, 201-\$45\,000 \rule[-1ex]{0pt}{0pt}& \text{16 cents for each \$1 over \$18 200} \\
\hline
\rule{0pt}{2.5ex}\$45\,001-\$135\,000 \rule[-1ex]{0pt}{0pt}& \$4288 \text{ plus 30 cents for each \$1 over \$45 000} \\
\hline
\rule{0pt}{2.5ex}\$135\,001-\$190\,000 \rule[-1ex]{0pt}{0pt}& \$31 \, 288 \text{ plus 37 cents for each \$1 over \$135 000} \\
\hline
\rule{0pt}{2.5ex}\$190\,001 \text{ and over} \rule[-1ex]{0pt}{0pt}& \$51 \, 638 \text{ plus 45 cents for each \$1 over \$190 000} \\
\hline
\end{array}
A company's spreadsheet was created that calculates its employees' after tax fortnightly pay, based on the table and excluding the Medicare levy.
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a. \(=\text{B6}-\text{C6}\)
b. \(=4288+(\text{B5}-45000)^*0.30 \)
c. \(\$3140.85\)
a. \(\text{Formula for Ian’s Salary after tax:}\)
\(=\text{B6}-\text{C6}\)
b. \(\text{Formula for Greg’s estimated tax:}\)
\(=4288+(\text{B5}-45000)^*0.30 \)
c. \(\text{Greg’s estimated tax}\ =4288+(103\,500-45\,000) \times 0.30=\$21\,838\)
\(\text{Greg’s salary after tax}\ = 103\,500-21\,838=\$81\,662\)
\(\text{Greg’s fornightly pay}\ = \dfrac{81\,662}{26}=\$3140.85\)
Fried's formula for determining the medicine dosage for children aged 1 - 2 years is:
\(\text{Dosage}=\dfrac{\text{Age of infant (months)}\ \times \ \text{adult dose}}{150}\)
The spreadsheet below is used as a calculator for determining an infant's medicine dosage according to Fried's formula.
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a. \(=\text{B5}^*\text{B6}/150\)
b. \(15 \ \text{months}\)
a. \(=\text{B5}^*\text{B6}/150\)
b. \(\text{Let} \ n= \text{age of infant}\)
\(\text{Using given formula:}\)
| \(2\) | \(=\dfrac{n \times 20}{150}\) |
| \(n\) | \(=\dfrac{2 \times 150}{20}=15 \ \text{months}\) |
Nigel's weekly wages are calculated using the partially completed spreadsheet below.
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a. \(\text{Total wages}=119.00+35.70=\$ 154.70\)
b. \(14:30\)
a. \(\text{Wednesday wages:}\)
\(\text{Regular hours:} \ 5 \times 23.80=\$ 119.00\)
\(\text{Time-and-a-half:} \ 1 \times 1.5 \times 23.80=\$35.70\)
\(\text{Total wages}=119.00+35.70=\$ 154.70\)
b. \(\text{Let \(h=\) total hours worked:}\)
\(\text{Since Saturday wages are time-and-a-half rate:}\)
| \(h \times 1.5 \times 23.80\) | \(=196.35\) |
| \(h\) | \(=\dfrac{196.35}{1.5 \times 23.80}=5.5\ \text{hours}\) |
\(\text{Nigel’s shift started at 09:00 and lasted 5.5 hours.}\)
\(\therefore\ \text{Nigel finished work at 14:30.}\)
Trust Us Realty has three salespeople, Ralph, Ritchie, and Fonzi.
Their June monthly wages include a base wage and commission earned, which is modelled in the spreadsheet below.
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a. \(=0.01^* \text{B9}\)
b. \(\$ 20\,200\)
c. \(\$ 385\,000\)
a. \(=0.01^* \text{B9}\)
b. \(\text{Fonzi’s Commission:}\)
\(\text{Sales}\ \$0-\$500\,000=0.01 \times 500\,000=\$ 5000\)
\(\text{Sales over} \ \$500\, 000=(2\,150\,000-500\,000) \times 0.008=\$13\,200\)
\(\text{Total June wages}=5000+13\,200+2000=\$ 20\,200\)
c. \(\text{Ralph’s sales commission}\ =5850-2000=\$3850\)
\(\text {Since Ralph earned} \ \$3850 \ \text{in commission:}\)
| \(\text{Sales} \times 0.01\) | \(=3850\) |
| \(\text{Sales}\) | \(=\dfrac{3850}{0.01}=\$ 385\,000\) |
Clark's formula for determining the medicine dosage for children is:
\(\text{Dosage}=\dfrac{\text{weight in kilograms}\ \times \ \text{adult dosage}}{70}\)
The spreadsheet below is used as a calculator for determining a child's medicine dosage according to Clark's formula.
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a. \(=\text{B6}^*\text{B5}/70\)
b. \(17.5 \ \text{kilograms}\)
a. \(=\text{B6}^*\text{B5}/70\)
b. \(\text{Let} \ w= \text{weight of the child.}\)
\(\text{Using given formula:}\)
| \(62.5\) | \(=\dfrac{w \times 250}{70}\) |
| \(w\) | \(=\dfrac{62.5 \times 70}{250}=17.5 \ \text{kilograms}\) |
The spreadsheet shows a casual employee's partially completed timesheet.
Calculate Jane's total earnings for the week. (2 marks)
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\(\text{Earnings:}\)
\(\text{Sunday:}\ 4 \times 20.70 \times 2 = $165.60\)
\(\text{Thursday:}\ 3 \times 20.70 = $62.10\)
\(\text{Friday:}\ (2 \times 20.70) + (2 \times 20.70 \times 1.5) = $103.50\)
\(\text{Saturday:}\ 4 \times 20.70 \times 1.5 = $124.20\)
\(\text{Total earnings}\ =165.60+62.10+103.50+124.20=$455.40\)
\(\text{Earnings:}\)
\(\text{Sunday:}\ 4 \times 20.70 \times 2 = $165.60\)
\(\text{Thursday:}\ 3 \times 20.70 = $62.10\)
\(\text{Friday:}\ (2 \times 20.70) + (2 \times 20.70 \times 1.5) = $103.50\)
\(\text{Saturday:}\ 4 \times 20.70 \times 1.5 = $124.20\)
\(\text{Total earnings}\ =165.60+62.10+103.50+124.20=$455.40\)
QuickPrint Copy Centre charges for printing services using the formula below.
Total cost = Setup fee + Cost per page \( \times \) Number of pages
A spreadsheet used to calculate the total cost is shown.
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QuickPrint increases their cost per page to \$0.42, but keeps the setup fee unchanged. Aisha needs to print 120 pages.
How much more will Aisha pay compared to the original pricing shown in the spreadsheet? (2 marks)
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a. \(=\text{B3}+ \text{B4} \ ^* \ \text{B5}\)
b. \($14.40\)
a. \(=\text{B3}+ \text{B4} \ ^* \ \text{B5}\)
b. \(\text{Original cost from spreadsheet}:\ $44.50\)
\(\text{At increased rate}:\)
\(\text{Total cost}\ =8.50+0.42\times 120=$58.90\)
\(\text{Additional amount}\ =58.90-44.50=$14.40\)
Green Thumb Landscaping charges for their lawn mowing service based on the size of the lawn.
They use the formula below to calculate the cost of each service.
Total cost = Call-out fee + Cost per square metre \( \times \) Area of lawn
The spreadsheet they provide to their clients is included below.
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Miguel has a lawn with a different area. The call-out fee and cost per square metre remain the same. When Miguel's lawn area is entered into the spreadsheet, the total cost shown in cell E4 becomes \$153.00.
What is the area of Miguel's lawn? (2 marks)
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a. \(=\text{B4}+ \text{B5} \ ^* \ \text{B6}\)
b. \(\text{60 m}^2\)
a. \(=\text{B4}+ \text{B5} \ ^* \ \text{B6}\)
| b. | \(153\) | \(=45+1.8A\) |
| \(108\) | \(=1.8A\) | |
| \(A\) | \(=\dfrac{108}{1.8}=60\) |
\(\therefore\ \text{The area of Miguel’s lawn is 60 m}^2.\)
Two quantities, \(M\) and \(t\), have a relationship such that \(M\) varies directly with \(t\) and \(M=2.4\) when \(t=8\).
Find the value of \(t\) when \(M=5.1\). (2 marks)
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\(t=17\)
\(M \propto t \ \ \Rightarrow \ \ M=kt\)
\(\text{Given} \ \ M=2.4 \ \ \text{when} \ \ t=8:\)
\(2.4=8k \ \ \Rightarrow \ \ k=\dfrac{2.4}{8}=0.3\)
\(\text{When} \ \ M=5.1:\)
| \(5.1\) | \(=0.3 \times t\) | |
| \(t\) | \(=\dfrac{5.1}{0.3}=17\) |
\(F\) varies directly with \(m\) and \(F=14\) when \(m=3.5\).
Find the value of \(m\) when \(F=50\). (2 marks)
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\(m=12.5\)
\(F \propto m \ \ \Rightarrow \ \ F=km\)
\(\text{Given} \ \ F=14 \ \ \text{when} \ \ m=3.5:\)
\(14=3.5k \ \ \Rightarrow \ \ k=4\)
\(\text{When} \ \ F=50:\)
| \(50\) | \(=4 \times m\) | |
| \(m\) | \(=\dfrac{50}{4} = 12.5\) |
\(d\) varies directly with \(h\) and it is known that \(d=1.2\) when \(h=5\).
The value of \(h\) when \(d=48\) is
\(C\)
\(d \propto h \ \ \Rightarrow \ \ d=k \times h\)
\(\text{Find \(k\) given \(\ d=1.2\) when \(\ h=5\):}\)
| \(1.2\) | \(=5 \times k\) | |
| \(k\) | \(=\dfrac{1.2}{5}=0.24\) |
\(\text{Find} \ h \ \text{when} \ \ d=48:\)
| \(48\) | \(=0.24 \times h\) | |
| \(h\) | \(=\dfrac{48}{0.24}=200\) |
\(\Rightarrow C\)
\(Q\) varies directly with \(r\) and \(Q=2\) when \(r=16\).
The value of \(r\) when \(Q=13\) is
\(D\)
\(Q \propto r \ \Rightarrow \ Q=kr\)
\(\text{Find \(k\) given \(\ Q=2\) given \(\ r=16\):}\)
\(2=16 \times k \ \Rightarrow \ k=\dfrac{1}{8}\)
\(\text{Find \(r\) when \(\ Q=13:\)}\)
| \(13\) | \(=\dfrac{1}{8} \times r\) | |
| \(r\) | \(=13 \times 8=104\) |
\(\Rightarrow D\)
Dial-A-Lift Luxury Transport offers ride services in the local area of Maitland.
They currently use the formula below to calculate the cost of each fare.
Total fare \(=\) Booking fee \(+\) Cost per kilometre \(\times\) Number of kilometres travelled
A spreadsheet used to calculate the total fare is shown.
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a. \(=\text{B4}+ \text{B5} \ ^* \ \text{B6}\)
b. \(\text{Cell B6 value = 13.}\)
a. \(=\text{B4}+ \text{B5} \ ^* \ \text{B6}\)
| b. | \(47.5\) | \(=15+2.5 n\) |
| \(32.5\) | \(=2.5n\) | |
| \(n\) | \(=\dfrac{32.5}{2.5}=13\) |
\(\text{Cell B6 value = 13.}\)
The following formula can be used to calculate the recommended dosage of a medicine for a child.
Recommended dosage \(=\) base dosage \(+\) adjustment factor \(\times\) weight of child,
where the recommended dosage and base dosage are in milligrams and the weight of the child is in kilograms.
A spreadsheet used to calculate the recommended dosage is shown.
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a. \(=\text{B5}+ \text{B6} \ ^* \ \text{B7}\)
b. \(\text{Cell B7 value = 25.}\)
a. \(=\text{B5}+ \text{B6} \ ^* \ \text{B7}\)
b. \(\text{Let \(w\) = weight of the child}\)
| \(70\) | \(=50+0.8 w\) |
| \(20\) | \(=0.8 w\) |
| \(w\) | \(=\dfrac{20}{0.8}=25\) |
\(\text{Cell B7 value = 25.}\)
Make `t` the subject of the equation `s = 1/2 at^2`. (3 marks)
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`t = sqrt((2s)/a)`
| `s` | `= 1/2 at^2` |
| `2s` | `= at^2` |
| `(2s)/a` | `= t^2` |
| `t` | `= sqrt((2s)/a)` |
The area of a semicircle is given by \(A=\dfrac{1}{2}\pi r^2\) where \(r\) is the radius of the semicircle.
If the area of a semicircle is 250 cm², find the radius, to 1 decimal place. (3 marks)
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\(12.6\ \text{cm}\)
\(A=\dfrac{1}{2}\pi r^2\ \ \Rightarrow \ \ r^2=\dfrac{2A}{\pi}\)
\(\text{When}\ \ A = 250:\)
| \(r^2\) | \(=\dfrac{2\times 250}{\pi}=\dfrac{500}{\pi}=159.154…\) |
| \( r\) | \(=\sqrt{159.154…}=12.615…=12.6\ \text{cm (to 1 d.p.)}\) |
If \(w=4y^2-5\), what is the value of \(y\) when \(w=43\)?
\(D\)
\(\text{When}\ w=43:\)
| \(w\) | \(=4y^2-5\) |
| \(43\) | \(=4y^2-5\) |
| \(4y^2\) | \(=48\) |
| \(y^2\) | \(=\dfrac{48}{4}=12\) |
| \(y\) | \(=\pm 2\sqrt{3}\) |
\(y=-2\sqrt{3}\ \text{(only possibility given options)}\)
\(\Rightarrow D\)
Find the term independent of \(x\) in the expansion of \(\left(2 x^3+\dfrac{1}{x^4}\right)^7\). (2 marks)
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\(560\)
\(T_k=\ \text {General term of} \ \ \left(2 x^3+\dfrac{1}{x^4}\right)^7\)
| \(T_k\) | \(=\displaystyle \binom{7}{k}\left(2 x^3\right)^{7-k} \cdot\left(x^{-4}\right)^k\) |
| \(=\displaystyle\binom{7}{k} \cdot 2^{7-k} \cdot x^{3(7-k)} \cdot x^{-4 k}\) | |
| \(=\displaystyle\binom{7}{k} \cdot 2^{7-k} \cdot x^{21-7 k}\) |
\(\text{Independent term occurs when:}\)
\(x^{21-7 k}=x^0 \ \Rightarrow \ k=3\)
\(\therefore \text{Independent term}=\displaystyle \binom{7}{3} \cdot 2^4=560\)
The polynomial \(R(x)=2 x^4+a x^3+b x^2+c x+d\) has a double zero at \(x=1\), a zero at \(x=-3\), and passes through the point \((0,-12)\).
Find the integer values of \(a, b, c, d\) and the fourth zero of the polynomial. (4 marks)
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\(a=-2, \ b=-14, \ c=26, \ d=-12\)
\(\text{Fourth zero:} \ \ x=2\)
\(R(x)=2 x^4+a x^3+b x^2+c x+d\)
\(\text{Since leading coefficient is 2 with a double zero at 1 and a zero at }-3:\)
\(R(x)=2(x-1)^2(x+3)(x-k) \ \ \text{where} \ k \ \text{is the fourth zero.}\)
\(\text{The polynomial passes through}\ (0,-12):\)
\(R(0)=2(0-1)^2(0+3)(0-k)=-12\ \ \Rightarrow\ \ k=2\)
\(\text{Expanding}\ R(x):\)
| \(R(x)\) | \(=2(x-1)^2(x+3)(x-2)\) | |
| \(=2\left(x^2-2 x+1\right)(x+3)(x-2) \) | ||
| \(=2(x^3+3 x^2-2 x^2-6 x+x+3)(x-2) \) | ||
| \(=2(x^3+x^2-5 x+3)(x-2) \) | ||
| \(=2(x^4+x^3-5 x^2+3 x-2 x^3-2 x^2+10 x-6) \) | ||
| \(=2 x^4-2 x^3-14 x^2+26 x-12\) |
\(\text{Equating coefficients:}\)
\(a=-2, \ b=-14, \ c=26, \ d=-12\)
\(\text{Fourth zero:} \ \ x=2\)
A tower \(B T\) has height \(h\) metres.
From point \(A\), the angle of elevation to the top of the tower is 26° as shown.
Which of the following is the correct expression for the length of \(A B\) ?
\(B\)
| \(\tan 26^{\circ}\) | \(=\dfrac{h}{AB}\) | |
| \(AB\) | \(=\dfrac{h}{\tan 26^{\circ}}\) | |
| \(AB\) | \(=h\,\cot 26^{\circ}\) |
\(\Rightarrow B\)