The vectors `underset~a = underset~i + 2underset~j - underset~k, \ underset~b = lambdaunderset~i + 3underset~j + 2underset~k` and `underset~c = underset~i + underset~k` will be linearly dependent when the value of `lambda` is
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The vectors `underset~a = underset~i + 2underset~j - underset~k, \ underset~b = lambdaunderset~i + 3underset~j + 2underset~k` and `underset~c = underset~i + underset~k` will be linearly dependent when the value of `lambda` is
`E`
`text(Linearly dependent:)\ \ underset~b = m underset~a + n underset~c`
`m + n` | `= lambda\ …\ (1)` |
`2m` | `= 3\ …\ (2)` |
`−m + n` | `= 2\ …\ (3)` |
`m = 3/2\ \ text{(using (2))}`
`n = 2 + 3/2 = 7/2\ \ text{(using (3))}`
`:. lambda = 3/2 + 7/2 = 5`
`=>E`
If `(dy)/(dx) = e^(cos(x))` and `y_0 = e` when `x_0 = 0`, then, using Euler's formula with step size 0.1, `y_3` is equal to
`C`
`text(When)\ \ y_0 = e, x_0 = 0`
`y_1 = e + 0.1 e^(cos(0)) = e + 0.1e`
`y_2` | `= e + 0.1e + 0.1e^(cos(0.1))` |
`= e + 0.1(e + e^(cos(0.1)))` |
`y_3` | `= e + 0.1(e + e^(cos(0.1))) + 0.1e^(cos(0.2))` |
`= e + 0.1(e + e^(cos(0.1)) + e^(cos(0.2)))` |
`=>C`
With a suitable substitution `int_(pi/4)^(pi/3) (sec^2(x))/(sec^2(x) - 3 tan(x) + 1)\ dx` can be expressed as
`B`
`text(Let)\ \ u = tan(x)`
`(du)/(dx) = sec^2 (x) \ => \ du = sec^2(x)\ dx`
`text(When)\ ` | `x = pi/3,\ u = sqrt3` |
`x = pi/4,\ u = 1` |
`int_(pi/4)^(pi/3) (sec^2(x))/(sec^2(x) – 3 tan(x) + 1)\ dx` |
`= int_1^(sqrt3)\ 1/(u^2 + 1 – 3u + 1)\ du` |
`= int_1^(sqrt3) 1/(u^2 – 3u + 2)\ du` | |
`= int_1^(sqrt3) 1/((u – 2)(u – 1))\ du` | |
`= int_1^(sqrt3) 1/(u – 2) – 1/(u – 1)\ du` |
`=>B`
With a suitable substitution `int_(pi/4)^(pi/3) (sec^2(x))/(sec^2(x) - 3 tan(x) + 1)\ dx` can be expressed as
`C`
`text(Let)\ \ u = tan(x)`
`(du)/(dx) = sec^2 (x) \ => \ du = sec^2(x)\ dx`
`text(When)\ ` | `x = pi/3,\ u = sqrt3` |
`x = pi/4,\ u = 1` |
`int_(pi/4)^(pi/3) (sec^2(x))/(sec^2(x) – 3 tan(x) + 1)\ dx` |
`= int_1^(sqrt3)\ 1/(u^2 + 1 – 3u + 1)\ du` |
`= int_1^(sqrt3) 1/(u^2 – 3u + 2)\ du` | |
`= int_1^(sqrt3) 1/((u – 2)(u – 1))\ du` | |
`= int_1^(sqrt3) 1/(u – 2) – 1/(u – 1)\ du` |
`=>C`
A tank initially contains 300 grams of salt that is dissolved in 50 L of water. A solution containing 15 grams of salt per litre of water is poured into the tank at a rate of 2 L per minute and the mixture in the tank is kept well stirred. At the same time, 5 L of the mixture flows out of the tank per minute.
Find the differential equation, `(dm)/(dt)`, where `m` represents the mass, in grams, of salt in the tank at time `t` minutes, for a non-zero volume of mixture. (2 marks)
`(dm)/(dt) = 30 – (5m)/(50 – 3t)`
`V(t) = 50 + 2t – 5t = 50 – 3t`
`(dm)/(dt)\ text(in) = 15 xx 2 = 30\ text(g/min)`
`(dm)/(dt)\ text(out) = 5 xx m/(50 – 3t) = (5m)/(50 – 3t)`
`:. (dm)/(dt) = 30 – (5m)/(50 – 3t)`
A tank initially contains 300 grams of salt that is dissolved in 50 L of water. A solution containing 15 grams of salt per litre of water is poured into the tank at a rate of 2 L per minute and the mixture in the tank is kept well stirred. At the same time, 5 L of the mixture flows out of the tank per minute.
A differential equation representing the mass, `m` grams, of salt in the tank at time `t` minutes, for a non-zero volume of mixture is
`D`
`V(t) = 50 + 2t – 5t = 50 – 3t`
`(dm)/(dt)\ text(in) = 15 xx 2 = 30\ text(g/min)`
`(dm)/(dt)\ text(out) = 5 xx m/(50 – 3t) = (5m)/(50 – 3t)`
`:. (dm)/(dt) = 30 – (5m)/(50 – 3t)`
`=> D`
Given that `(x + iy)^14 = a + ib`, where `x, y, a, b ∈ R, \ (y - ix)^14` for all values of `x` and `y` is equal to
`A`
`(y – ix)^14` | `= (−i(x + iy))^14` |
`= −i^14(x + iy)^14` | |
`= −(x + iy)^14` | |
`= −a – ib` |
`=>A`
Given the complex number `z = a + bi`, where `a ∈ R text{\}{0}` and `b ∈ R, \ (4zbarz)/((z + barz)^2)` is equivalent to
`A`
`z = a + ib, \ barz = a – ib`
`(4zbarz)/((z + barz)^2)` | `= (4(a^2 + b^2))/(4a^2)` |
`= 1 + (b/a)^2` | |
`= 1 + ((text(Im)(z))/(text(Re)(z)))^2` |
`=>A`
The sum of the roots of `z^3 - 5z^2 + 11z - 7 = 0`, where `z ∈ C`, is
`D`
`text(Coefficients are real)`
`=>\ text(Conjugate root theorem applies.)`
`z_1=alpha + beta i,\ \ z_2=alpha – beta i, \ \ z_3=gamma`
`z_1+z_2+z_3` | `= alpha + beta i + alpha – beta i + gamma` |
`= 2 alpha + gamma\ \ \ (∈R)` |
`=> D`
For the complex polynomial `P(z) = z^3 + az^2 + bz + c` with real coefficients `a, b` and `c, P(−2) = 0` and `P(3i) = 0`.
The values of `a, b` and `c` are respectively
`C`
`text(S)text(ince coefficients are real,)`
`P(3i) = 0 => P(−3i) = 0\ \ (text(conjugate root theorem))`
`P(z)` | `= (z + 2)(z – 3i)(z + 3i)` |
`= z^3 + 2z^2 + 9z + 18` |
`:. a = 2, b = 9, c = 18`
`=> C`
Given the complex number \(z=a+b i\), where \(a \in R \backslash\{0\}\) and \(b \in R, \dfrac{4 z \bar{z}}{(z+\bar{z})^2}\) is equivalent to
\(A\)
\(z=a+i b, \quad \bar{z}=a-i b\)
\(\dfrac{4 z \bar{z}}{(z+\bar{z})^2}\) | \(=\dfrac{4\left(a^2+b^2\right)}{4 a^2}\) |
\(=1+\left(\dfrac{b}{a}\right)^2\) | |
\(=1+\left(\dfrac{\operatorname{Im}(z)}{\operatorname{Re}(z)}\right)^2\) |
\(\Rightarrow A\)
A train is travelling from Station A to Station B. The train starts from rest at Station A and travels with constant acceleration for 30 seconds until it reaches a velocity of 10 ms−1. It then travels at this velocity for 200 seconds. The train then slows down, with constant acceleration, and stops at Station B having travelled for 260 seconds in total. Let `v` ms−1 be the velocity of the train at time `t` seconds. The velocity `v` as a function of `t` is given by
`A`
`text(When)\ \ t = 30, v(t) = 10\ \ => \ text(Eliminate C and D)`
`v(t) = 10\ \ text(for)\ \ 30 <= t <= 230\ \ =>\ text(Eliminate E)`
`text(When)\ \ 230 <= t <= 260:`
`(v – 0)/(t – 260)` | `= (10 – 0)/(230 – 260)` |
`v` | `= 1/3(260 – t)` |
`=>A`
The `y`-intercept of the graph of `y = f(x)`, where `f(x) = ((x - a)(x + 3))/((x - 2))`, is also a stationary point when `a` equals
`D`
`f′(x)` | `= (x^2 – 4x + 5a – 6)/((x – 2)^2)` |
`f′(0)` | `= 0 \ => \ a = 6/5` |
`=>D`
The point `Q` on building `B` is visible from the point `P` on building `A`, as shown in the diagram above.
Building `A` is 16 metres taller than building `B`.
The horizontal distance between point `P` and point `Q` is 23 metres.
Calculate the angle of depression of point `Q` from point `P`. Give your answer correct to 1 decimal place. (2 marks)
--- 4 WORK AREA LINES (style=lined) ---
`34.8^@`
A straight line is graphed below.
An equation for this straight line is
`B`
`text(Gradient) = -8/10 = -4/5`
`text(Passes through) quad (10, 0)`
`y – y_1` | `= m(x – x_1)` |
`y` | `= -4/5(x – 10)` |
`5y` | `= -4x + 40` |
`4x + 5y` | `= 40` |
`=> B`
A cake is in the shape of a rectangular prism, as shown in the diagram below.
The cake is cut in half to create two equal portions.
The cut is made along the diagonal, as represented by the dotted line.
The total surface area, in square centimetres, of one portion of the cake is
`C`
Cape Town has latitude 34° S and longitude 18° E.
Stockholm has latitude 59° N and longitude 18° E.
Assume that the radius of Earth is 6400 km.
The shortest distance along the meridian between Cape Town and Stockholm, in kilometres, is closest to
`E`
The cities of Lhasa (30° N, 91° E), Chengdu (31° N, 104° E) and Shanghai (31° N, 121° E) are all in the same time zone.
Assume that 15° of longitude equates to a one-hour time difference.
Which one of the following statements is true?
`C`
`text(Consider longitudinal differences:)`
`text(Lhasa to Chengdu) = 104 – 91 = 13^@`
`→ text(Time difference) = 13 xx 4 = 42\ text(mins)`
`text(Lhasa to Shanghai) = 121 – 91 = 30^@`
`→ text(Time difference) = 30 xx 4 = 120\ text(mins)`
`:.\ text(Sun rises in Lhasa approx 2 hours after Shanghai)`
`=> C`
The pie chart below displays the results of a survey.
Eighty per cent of the people surveyed selected ‘agree’.
Twenty per cent of the people surveyed selected ‘disagree’.
The radius of the pie chart is 16 mm.
The area of the sector representing ‘agree’, in square millimetres, is closest to
`D`
`text(Area)` | `= 0.8 xx pi xx 16^2` |
`= 643.39…\ text(mm²)` |
`=> D`
A regular hexagon is divided into three equal parts, as shown in the diagram below.
The size of the angle `theta` is
`B`
Each year begins on 1 January.
The location that begins each year first is
`E`
`text(Location that is first has the highest “East”)`
`text{longitude (can’t be greater than 180°).}`
`=> E`
The adjacency matrix below shows the number of pathway connections between four landmarks: `J, K, L and M`.
`{:(qquadqquad J\ \ \ Kquad L\ \ M),({:(J),(K),(L),(M):}[(1,3,0,2),(3,0,1,2),(0,1,0,2),(2,2,2,0)]):}`
A network of pathways that could be represented by the adjacency matrix is
A. | B. | ||
C. | D. | ||
E. |
`E`
`text(Matrix requires:)`
`text(3 paths directly between)\ J and K`
`:.\ text(Eliminate)\ A and D`
`text(2 paths directly between)\ M and J`
`:.\ text(Eliminate)\ C`
`text(1 path directly between)\ J and J`
`:.\ text(Eliminate)\ B`
`=> E`
The network below shows the distances, in metres, between camp sites at a camping ground that has electricity.
The vertices `A` to `I` represent the camp sites.
The minimum length of cable required to connect all the camp sites is 53 m.
The value of `x`, in metres, is at least
`C`
`text(One strategy – Using Prim’s Algorithm)`
`text(Starting at)\ A`
`text(1st edge) : AH = 6`
`text(2nd edge) : HG = 5`
`text(then …)\ AB = 7,\ GI = 9,\ IE = 6,\ EF = 5`
`DE = 8,\ CD = 7`
`text {Total length = 53 m (not including}\ x text{)}`
`text(If)\ \ x < 9, x\ text(would replace)\ GI\ text(and minimum`
`text(length would be less than 53m.)`
`=> C`
The activity network below shows the sequence of activities required to complete a project.
The number next to each activity in the network is the time it takes to complete that activity, in days.
What is the critical path and minimum completion time for this project. (2 marks)
--- 4 WORK AREA LINES (style=lined) ---
`BEIJM = 22\ text(days)`
The activity network below shows the sequence of activities required to complete a project.
The number next to each activity in the network is the time it takes to complete that activity, in days.
The minimum completion time for this project, in days, is
`E`
The network below shows the distances, in metres, between camp sites at a camping ground that has electricity.
The vertices `A` to `I` represent the camp sites.
The minimum length of cable required to connect all the camp sites is 53 m.
The value of `x`, in metres, is at least
`D`
`text(One strategy – Using Prim’s Algorith)`
`text(Starting at)\ A`
`text(1st edge) : AH = 6`
`text(2nd edge) : HG = 5`
`text(then …)\ AB = 7,\ GI = 9,\ IE = 6,\ EF = 5`
`DE = 8,\ CD = 7`
`text {Total length = 53 m (not including}\ x text{)}`
`text(If)\ \ x < 9, x\ text(would replace)\ GI\ text(and minimum`
`text(length would be less than 53m.)`
`=> D`
Five competitors, Andy (A), Brie (B), Cleo (C), Della (D) and Eddie (E), participate in a darts tournament.
Each competitor plays each of the other competitors once only, and each match results in a winner and a loser.
The matrix below shows the results of this darts tournament.
There are still two matches that need to be played.
`{:(qquadqquadqquadqquadqquadqquadqquadqquadqquad loser),(quadqquadqquadqquadqquadqquad \ A qquad\ B qquad \ C qquad\ D qquad E),(wi\n\n\er qquad{:(A),(B),(C),(D),(E):}[(0,…,0,1,0),(…,0,1,0,1),(1,0,0,…,1),(0,1,…,0,0),(1,0,0,1,0)]):}`
A ‘1’ in the matrix shows that the competitor named in that row defeated the competitor named in that column.
For example, the ‘1’ in row 2, column 3 shows that Brie defeated Cleo.
A ‘…’ in the matrix shows that the competitor named in that row has not yet played the competitor named in that column.
The winner of this darts tournament is the competitor with the highest sum of their one-step and two-step dominances.
Which player, by winning their remaining match, will ensure that they are ranked first by the sum of their one-step and two-step dominances?
`B`
`text(Case 1): e_12 = 1,\ e_21 = 0,\ e_34 = 1,\ e_43 = 0`
`[(0,1,0,1,0),(0,0,1,0,1),(1,0,0,1,1),(0,1,0,0,0),(1,0,0,1,0)]+[(0,1,0,1,0),(0,0,1,0,1),(1,0,0,1,1),(0,1,0,0,0),(1,0,0,1,0)]^2=[(0,2,1,1,1),(2,0,1,2,2),(2,2,0,3,1),(0,1,1,0,1),(1,2,0,2,0)]{:(5),(7),(8),(3),(5):}`
`text(Case 2): e_12 = 0,\ e_21 = 1,\ e_34 = 1,\ e_43 = 0`
`[(0,0,0,1,0),(1,0,1,0,1),(1,0,0,1,1),(0,1,0,0,0),(1,0,0,1,0)]+[(0,0,0,1,0),(1,0,1,0,1),(1,0,0,1,1),(0,1,0,0,0),(1,0,0,1,0)]^2=[(0,1,0,1,0),(3,0,1,3,2),(2,1,0,3,1),(1,1,1,0,1),(1,1,0,2,0)]{:(2),(9),(7),(4),(4):}`
`text(Similarly, totals can be calculated for:)`
`text(Case 3):\ e_34 = 0, e_43 = 1, and e_12=0, e_21=1`
`text(Case 4):\ e_34 = 0, e_43 = 1, and e_12=1, e_21=0`
`text(Only Brie can ensure she is top ranked by winning.)`
`=> B`
The table below shows information about three matrices: `A, B` and `C`.
`qquad qquad text(Matrix) qquad qquad` | `quad qquad qquad text(Order) quad qquad qquad` | |
`A` | `2 xx 4` | |
`B` | `2 xx 3` | |
`C` | `3 xx 4` |
The transpose of matrix `A`, for example, is written as `A^T`.
What is the order of the product `C^T xx (A^T xx B)^T`?
`E`
`C^T xx (A^T xx B)^T`
`= (3 xx 4)^T xx ((2 xx 4)^T xx (2 xx 3))^T`
`= (4 xx 3) xx ((4 xx 2) xx (2 xx 3))^T`
`= (4 xx 3) xx (4 xx 3)^T`
`= (4 xx 3) xx (3 xx 4)`
`= 4 xx 4`
`=> E`
The element in row `i` and column `j` of matrix `M` is `m_(ij)`.
`M` is a 3 × 3 matrix. It is constructed using the rule `m_(ij) = 3i + 2j`.
`M` is
A. |
`[(5,7,9),(7,9,11),(11,13,15)]`
|
B. |
`[(5,7,9),(8,10,12),(11,13,15)]`
|
C. |
`[(5,7,10),(8,10,13),(11,13,16)]`
|
D. |
`[(5,8,11),(7,10,13),(9,12,15)]`
|
E. |
`[(5,8,11),(8,11,14),(11,14,17)]`
|
`B`
`text(By Elimination):`
`m_13 = 3 xx 1 + 2 xx 3 = 9`
`:.\ text(Eliminate)\ C, D and E`
`m_21 = 3 xx 2 + 2 xx 1 = 8`
`:.\ text(Eliminate)\ A`
`=> B`
Matrices `P` and `W` are defined below.
`P = [(0,0,1,0,0),(0,0,0,0,1),(0,1,0,0,0),(0,0,0,1,0),(1,0,0,0,0)] qquad qquad W = [(A),(S),(T),(O),(R)]`
If `P^n xx W = [(A),(S),(T),(O),(R)]`, the value of `n` could be
`D`
`text(Find)\ n\ text(where)\ P^n\ text(is a 5 × 5 identity matrix:)`
`P^4 = [(1,0,0,0,0),(0,1,0,0,0),(0,0,1,0,0),(0,0,0,1,0),(0,0,0,0,1)]`
`=> D`
The value of a van purchased for $45 000 is depreciated by `k`% per annum using the reducing balance method.
After three years of this depreciation, it is then depreciated in the fourth year under the unit cost method at the rate of 15 cents per kilometre.
The value of the van after it travels 30 000 km in this fourth year is $26 166.24
The value of `k` is
`B`
`text(Depreciation rate) = 1 – k/100`
`S = 45\ 000 (1 – k/100)^3 – 30\ 000 xx 0.15`
`26\ 166.24` | `= 45\ 000 (1 – k/100)^3 + 4500` |
`30\ 666.24` | `= 45\ 000 (1 – k/100)^3` |
`text(Testing each option:)`
`k = 12`
`=> B`
The nominal interest rate for a loan is 8% per annum.
When rounded to two decimal places, the effective interest rate for this loan is not
`C`
`text(Consider option C:)`
`r_text(effective)` | `= [(1 + 8/(100 xx 26))^26 – 1] xx 100` |
`~~ 8.3154` | |
`~~ 8.32%` |
`=> C`
Gen invests $10 000 at an interest rate of 5.5% per annum, compounding annually.
After how many years will her investment first be more than double its original value?
`B`
`text(Find)\ n\ text(such that:)`
`10\ 000 xx 1.055^n` | `> 20\ 000` |
`1.055^n` | `> 2` |
`text(Testing some answer options:)`
`1.055^12 = 1.90`
`1.055^13 = 2.005`
`=> B`
The graph below represents the value of an annuity investment, `A_n`, in dollars, after `n` time periods.
A recurrence relation that could match this graphical representation is
`B`
`text(The value doesn’t change.)`
`text(Consider option B:)`
`A_1` | `= 1.025 xx 200\ 000 – 5000` |
`= 200\ 000` | |
`= A_0` |
`=> B`
An asset is purchased for $2480.
The value of this asset after `n` time periods, `V_n` , can be determined using the rule
`V_n = 2480 + 45n`
A recurrence relation that also models the value of this asset after `n` time periods is
`C`
`V_0 = 2480`
`V_(n+1)` | `= 2480 + 45(n+1)` |
`= 2480 + 45n + 45` | |
`= V_n + 45` |
`=> C`
The time series plot below displays the number of airline passengers, in thousands, each month during the period January to December 1960.
Part 1
During 1960, the median number of monthly airline passengers was closest to
Part 2
During the period January to May 1960, the total number of airline passengers was 2 160 000.
The five-mean smoothed number of passengers for March 1960 is
`text(Part 1:)\ A`
`text(Part 2:)\ D`
Part 1
`text(12 data points)`
`text(Median)` | `= {text(6th + 7th data point)}/2` |
`~~ (460\ 000 + 460\ 000)/2` | |
`~~ 460\ 000` |
`=> A`
Part 2
`text(Five-mean smoothed number)`
`= (2\ 160\ 000)/5`
`= 432\ 000`
`=> D`
Table 4 below shows the monthly rainfall for 2019, in millimetres, recorded at a weather station, and the associated long-term seasonal indices for each month of the year.
Part 1
The deseasonalised rainfall for May 2019 is closest to
Part 2
The six-mean smoothed monthly rainfall with centring for August 2019 is closest to
`text(Part 1:)\ B`
`text(Part 2:)\ C`
Part 1
`text(Deseasonalised rainfall for May)`
`= 92.6/1.222`
`= 75.8\ text(mm)`
`=> B`
Part 2
`text{Six-mean smoothed average (Aug)}`
`=[(92.6 + 77.2 + 80 + 86.8 + 93.8 + 55.2) ÷6 +`
`(77.2 + 80 + 86.8 + 93.8 + 55.2 + 97.3) ÷ 6] ÷ 2`
`~~ (80.93 + 81.72) ÷ 2`
`~~ 81.3\ text(mm)`
`=> C`
Table 3 below shows the long-term mean rainfall, in millimetres, recorded at a weather station, and the associated long-term seasonal indices for each month of the year.
The long-term mean rainfall for December is missing.
Part 1
To correct the rainfall in March for seasonality, the actual rainfall should be, to the nearest per cent
Part 2
The long-term mean rainfall for December is closest to
`text(Part 1:)\ C`
`text(Part 2:)\ D`
Part 1
`text(Deseasonalised rainfall for March)`
`= 52.8/0.741`
`= 71.255`
`:.\ text(Percentage increase)` | `= (71.255 – 52.8)/() xx 100` |
`~~ 35%` |
`=> D`
Part 2
`text(Mean) = 51.9/0.728 = 71.3`
`text(Actual December)` | `= 71.3 xx 1.072` |
`~~ 76.4\ text(mm)` |
`=> D`
In a study, the association between the number of tasks completed on a test and the time allowed for the test, in hours, was found to be non-linear.
The data can be linearised using a log10 transformation applied to the variable number of tasks.
The equation of the least squares line for the transformed data is
log10 (number of tasks) = 1.160 + 0.03617 × time
This equation predicts that the number of tasks completed when the time allowed for the test is three hours is closest to
`C`
`log_10 text{(number of tasks)}` | `= 1.160 + 0.03617 xx 3` |
`= 1.26851` |
`:.\ text(Number of tasks)` | `= 10^(1.26851)` |
`= 18.557…` | |
`~~ 19` |
`=> C`
The data in Table 2 was collected in a study of the association between the variables frequency of nightmares (low, high) and snores (no, yes).
Part 1
The variables in this study, frequency of nightmares (low, high) and snores (no, yes), are
Part 2
The percentage of participants in the study who did not snore is closest to
Part 3
Of those people in the study who did snore, the percentage who have a high frequency of nightmares is closest to
`text(Part 1:)\ A`
`text(Part 2:)\ E`
`text(Part 3:)\ B`
Part 1
`text{frequency of nightmares (low, high) is ordinal.}`
`text{snores (no, yes) is nominal.}`
`=> A`
Part 2
`text(Percentage)` | `= text(not snore)/text(total participants) xx 100` |
`= 91/161 xx 100` | |
`= 56.5%` |
`=> E`
Part 3
`text(Percentage)` | `= text(High frequency and snore)/text(total who snore) xx 100` |
`= 12/70 xx 100` | |
`= 17.1%` |
`=> B`
The lifetime of a certain brand of light globe, in hours, is approximately normally distributed.
It is known that 16% of the light globes have a lifetime of less than 655 hours and 50% of the light globes have a lifetime that is greater than 670 hours.
The mean and the standard deviation of this normal distribution are closest to
A. | mean = 655 hours | standard deviation = 10 hours |
B. | mean = 655 hours | standard deviation = 15 hours |
C. | mean = 670 hours | standard deviation = 10 hours |
D. | mean = 670 hours | standard deviation = 15 hours |
E. | mean = 670 hours | standard deviation = 20 hours |
`D`
`text(mean) = 670`
`sigma = 670 – 655 = 15`
`=> D`
The wing length of a species of bird is approximately normally distributed with a mean of 61 mm and a standard deviation of 2 mm.
Using the 68–95–99.7% rule, for a random sample of 10 000 of these birds, the number of these birds with a wing length of less than 57 mm is closest to
`D`
Data relating to the following five variables was collected from insects that were caught overnight in a trap:
The number of these variables that are discrete numerical variables is
`A`
`text(Discrete numeral variables:)`
`text(number of wings only)`
`=> A`
A percentaged segmented bar chart would be an appropriate graphical tool to display the association between month of the year (January, February, March, etc.) and the
`D`
`text(The segments could be used to show below average,)`
`text(average and above average.)`
`=> D`
The histogram below shows the distribution of weight, in grams, for a sample of 20 animal species. The histogram has been plotted on a `log_10` scale.
The percentage of these animal species with a weight of less than 10 000 g is
`E`
`log_10 10\ 000 = 4`
`text(Animals)\ (x <= 4) = 3 + 2 + 12 = 17`
`:.\ text(Percentage)` | `= 17/20` |
`= 85%` |
`=> E`
The times between successive nerve impulses (time), in milliseconds, were recorded.
Table 1 shows the mean and the five-number summary calculated using 800 recorded data values.
Part 1
The difference, in milliseconds, between the mean time and the median time is
Part 2
Of these 800 times, the number of times that are longer than 300 milliseconds is closest to
Part 3
The shape of the distribution of these 800 times is best described as
`text(Part 1:)\ B`
`text(Part 2:)\ D`
`text(Part 3:)\ C`
Part 1
`text(Difference)` | `= 220 -150` |
`= 70` |
`=> B`
Part 2
`Q_3 = 300`
`:.\ text(Impulses longer than 300 milliseconds)`
`= 25text(%) xx 800`
`= 200`
`=> D`
Part 3
`text(Distribution has a long tail to the right)`
`:.\ text(Positively skewed)`
`text(Upper fence)` | `= Q_3 + 1.5 xx IQR` |
`= 300 + 1.5 (300 – 70)` | |
`= 645` |
`=> C`
Consider the curve defined parametrically by `x = arcsin (t)` `y = log_e(1 + t) + 1/4 log_e (1-t)` where `t in [0, 1)`. --- 4 WORK AREA LINES (style=lined) --- --- 6 WORK AREA LINES (style=lined) ---
a.
`y`
`= log_e(1 + t) + 1/4 log_e (1-t)`
`(dy)/(dt)`
`= 1/(1 + t)-1/(4(1-t))`
`((dy)/(dt))^2`
`= 1/(1 + t)^2-2 ⋅ 1/(1 + t) ⋅ 1/(4(1-t)) + 1/(16(1-t)^2)`
`= 1/(1 + t)^2-1/(2(1-t^2)) + 1/(16(1-t)^2)`
`:. a = 1, b = – 2, c = 16`
b.
`s`
`= int_0^(1/2) sqrt(((dx)/(dt))^2 + ((dy)/(dt))^2)\ dt`
`= int_0^(1/2) sqrt(1/(1-t^2) + 1/(1 + t^2)-1/(2(1-t^2)) + 1/(16(1-t)^2))\ dt`
`= int_0^(1/2) sqrt(1/(1 + t^2) + 1/(2(1-t^2)) + 1/(16(1-t)^2))\ dt`
`= int_0^(1/2) sqrt((1/(1 + t) + 1/(4(1-t)))^2)\ dt`
`= int_0^(1/2) 1/(1 + t) + 1/(4(1-t))\ dt`
`= [log_e(1 + t)-1/4 log_e(1-t)]_0^(1/2)`
`= log_e(3/2)-1/4 log_e(1/2)`
Consider the function defined by `f(x) = {({:mx + n,:}, x < 1), ({: frac{4}{(1 + x^2)},:}, x >= 1):}` where `m` and `n` are real numbers. --- 5 WORK AREA LINES (style=lined) --- --- 6 WORK AREA LINES (style=lined) ---
a. `f(x)\ \ text(continuous when:)` `f(x)\ \ text(continuous when:)` `m = (-8(1))/(1+1^2)^2 = -2` `text(When)\ \ m =-2,\ n = 4` b. `f(x) = {({:4-2x,:}, x < 1), ({:4/(1 + x^2),:}, x >= 1):}` `f(x) > 0\ \ text(for)\ \ x ∈ [0, sqrt 3]`
`m(1) + n`
`= 4/(1 + 12)`
`m + n`
`= 2`
`f^{′} (x) = {({:m,:}, x < 1), ({:(-8x)/(1 + x^2),:}, x >= 1):}`
`A`
`= int_1^sqrt 3 4/(1 + x^2)\ dx + int_0^1 4-2x\ dx`
`= [4 tan^(-1)(x)]_1^sqrt 3 + [4x-x^2]_0^1`
`= (4 pi)/3-(4 pi)/4 + 4-1`
`= 3 + pi/3\ text(u²)`
Let `f(x) = tan^(-1) (3x - 6) + pi`.
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a. | `f^{\prime}(x)` | `= (d/(dx) (3x – 6))/(1 + (3x – 6)^2)` |
`= 3/(9x^2 – 36x + 37)` |
b. `f^{\prime\prime}(x) = (3(18x – 36))/(9x^2 – 36x + 37)^2`
`f^{\prime\prime}(x) = 0\ \ text(when)\ \ 18x – 36 = 0 \ => \ x = 2`
`text(If)\ \ x < 2, 18x – 36 < 0 \ => \ f^{\prime\prime}(x) < 0`
`text(If)\ \ x > 2, 18x – 36 > 0 \ => \ f^{\prime\prime}(x) > 0`
`text(S) text(ince)\ \ f^{\prime\prime}(x)\ \ text(changes sign about)\ \ x = 2,`
`text(a POI exists at)\ \ x = 2`
c. |
Let `f(x) = arctan (3x - 6) + pi`. --- 2 WORK AREA LINES (style=lined) --- --- 5 WORK AREA LINES (style=lined) --- --- 0 WORK AREA LINES (style=lined) ---
b. `f^{\prime\prime}(x) = (3(18x – 36))/(9x^2 – 36x + 37)^2` `f^{\prime\prime}(x) = 0\ \ text(when)\ \ 18x – 36 = 0 \ => \ x = 2` `text(If)\ \ x < 2, 18x – 36 < 0 \ => \ f^{\prime\prime}(x) < 0` `text(If)\ \ x > 2, 18x – 36 > 0 \ => \ f^{\prime\prime}(x) > 0` `text(S) text(ince)\ \ f^{\prime\prime}(x)\ \ text(changes sign about)\ \ x = 2,` `text(a POI exists at)\ \ x = 2`
a.
`f^{\prime}(x)`
`= (d/(dx) (3x – 6))/(1 + (3x – 6)^2)`
`= 3/(9x^2 – 36x + 37)`
c.
Let `underset ~ a = 2 underset ~i - 3 underset ~j + underset ~k` and `underset ~b = underset ~i + m underset ~j - underset ~k`, where `m` is an integer.
The projection of `underset ~a` onto `underset ~b` is `-11/18 (underset ~i + m underset ~j - underset ~k)`.
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a. | `underset ~b ⋅ underset ~a` | `= ((1), (m), (-1))((2), (-3), (1)) = 2 – 3m – 1 = 1 – 3m` |
`|underset ~b|^2` | `= 1^2 + m^2 + (-1)^2 = m^2 + 2` |
`(underset ~b ⋅ underset ~a)/|underset ~b|^2 ⋅ underset ~b` | `= -11/18 underset ~b` |
`(1 -3m)/(m^2 + 2)` | `= -11/18` |
`18 – 54m` | `= -11m^2 – 22` |
`11m^2 – 54m + 40` | `=0` | |
`(11m – 10)(m – 4)` | `=0` |
`:. m= 4\ \ (m != 10/11, \ m ∈ Z)`
b. | `underset ~a_(⊥ underset ~b)` | `= underset ~a + 11/18 (underset ~i + 4 underset ~j – underset ~k)` |
`= 2 underset ~i + 11/18 underset ~i – 3 underset ~j + 44/18 underset ~j + underset ~k – 11/18 underset ~k` | ||
`= 47/18 underset ~i – 5/9 underset ~j + 7/18 underset ~k` |
Let `underset ~ a = 2 underset ~i-3 underset ~j + underset ~k` and `underset ~b = underset ~i + m underset ~j-underset ~k`, where `m` is an integer. The vector resolute of `underset ~a` in the direction of `underset ~b` is `-11/18 (underset ~i + m underset ~j-underset ~k)`. --- 6 WORK AREA LINES (style=lined) --- --- 3 WORK AREA LINES (style=lined) ---
a.
`underset ~b ⋅ underset ~a`
`= ((1), (m), (-1))((2), (-3), (1)) = 2-3m-1 = 1-3m`
`|underset ~b|^2`
`= 1^2 + m^2 + (-1)^2 = m^2 + 2`
`(underset ~b ⋅ underset ~a)/|underset ~b|^2 ⋅ underset ~b`
`= -11/18 underset ~b`
`(1 -3m)/(m^2 + 2)`
`= -11/18`
`18-54m`
`= -11m^2-22`
`11m^2-54m + 40`
`=0`
`(11m-10)(m-4)`
`=0`
`:. m= 4\ \ (m != 10/11, \ m ∈ Z)`
b.
`underset ~a_(⊥ underset ~b)`
`= underset ~a + 11/18 (underset ~i + 4 underset ~j-underset ~k)`
`= 2 underset ~i + 11/18 underset ~i-3 underset ~j + 44/18 underset ~j + underset ~k-11/18 underset ~k`
`= 47/18 underset ~i-5/9 underset ~j + 7/18 underset ~k`
Solve the inequality `3 - x > 1/|x - 4|` for `x`, expressing your answer in interval notation. (3 marks)
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`x ∈ (– oo, (7 – sqrt 5)/2)`
`3 – x > 1/|x – 4|`
`|x – 4| (3 – x) > 1`
`text(If)\ \ x – 4 > 0, x > 4`
`(x – 4) (3 – x)` | `> 1` |
`3x – x^2 – 12 + 4x` | `> 1` |
`-x^2 + 7x – 13` | `> 0` |
`Delta = 7^2 – 4 ⋅ 1 ⋅ 13 = -3 < 0`
`=>\ text(No Solutions)`
`text(If)\ \ x – 4 < 0, x < 4`
`-(x – 4) (3 – x)` | `> 1` |
`x^2 – 7x + 12` | `> 1` |
`x^2 – 7x + 11` | `> 0` |
`x` | `= (7 +- sqrt(7^2 – 4 ⋅ 1 ⋅ 11))/2` |
`= (7 +- sqrt 5)/2` |
`text(Combining solutions)`
`(x < (7 – sqrt 5)/2 ∪ x > (7 + sqrt 5)/2) nn x < 4`
`x ∈ (– oo, (7 – sqrt 5)/2)`
Find the cube roots of `1/sqrt 2 - 1/sqrt 2 i`. Express your answers in modulus-argument form. (3 marks)
`z_1 = text(cis)((7 pi)/12)`
`z_2 = text(cis)(-pi/12)`
`z_3 = text(cis)((-3 pi)/4)`
`z^3 = 1/sqrt 2 – 1/sqrt 2 i = text(cis)(-pi/4) = text(cis)(-pi/4 + 2 pi k), k ∈ Z`
`text(By De Moivre):`
`z = text(cis)(-pi/12 + (2 pi k)/3)`
`text(If)\ \ k = 1, \ z_1 = text(cis)(-pi/12 + (2 pi)/3) = text(cis)((7 pi)/12)`
`text(If)\ \ k = 0, \ z_2 = text(cis)(-pi/12)`
`text(If)\ \ k = – 1, \ z_3= text(cis)(-pi/12 – (2pi)/3) = text(cis)((-3 pi)/4)`
Find the cube roots of `1/sqrt 2 - 1/sqrt 2 i`. Express your answers in polar form using principal values of the argument. (3 marks)
`z_1 = text(cis)((7 pi)/12)`
`z_2 = text(cis)(-pi/12)`
`z_3 = text(cis)((-3 pi)/4)`
`z^3 = 1/sqrt 2 – 1/sqrt 2 i = text(cis)(-pi/4) = text(cis)(-pi/4 + 2 pi k), k ∈ Z`
`text(By De Moivre):`
`z = text(cis)(-pi/12 + (2 pi k)/3)`
`text(If)\ \ k = 1, \ z_1 = text(cis)(-pi/12 + (2 pi)/3) = text(cis)((7 pi)/12)`
`text(If)\ \ k = 0, \ z_2 = text(cis)(-pi/12)`
`text(If)\ \ k = – 1, \ z_3= text(cis)(-pi/12 – (2pi)/3) = text(cis)((-3 pi)/4)`
A 2 kg mass is initially at rest on a smooth horizontal surface. The mass is then acted on by two constant forces that cause the mass to move horizontally. One force has magnitude 10 N and acts in a direction 60° upwards from the horizontal, and the other force has magnitude 5 N and acts in a direction 30° upwards from the horizontal, as shown in the diagram below.
a. |
`text(Resolving forces vertically:)`
`2g` | `= 5 sin 30 + 10 sin 60 + R` |
`2g` | `= 5/2 + 5 sqrt 3 + R` |
`R` | `= 2g – 5/2 – 5 sqrt 3\ text(N)` |
b. | `2a` | `= 10 cos 60 – 5 cos 30` |
`2a` | `= 5 – (5 sqrt 3)/2` | |
`:.a` | `= 5/2 – (5 sqrt 3)/4\ text(ms)^(-2)` |
c. | `text(Distance)` | `= ut + 1/2 at^2` |
`= 0+ 1/2 (5/2 – (5 sqrt 3)/4) × 4^2` | ||
`= 20 – 10 sqrt 3\ text(m)` |
Part of the graph of `y = f(x)`, where `f:(0, ∞) -> R, \ f(x) = xlog_e(x)`, is shown below.
The graph of `f` has a minimum at the point `Q(a, f(a))`, as shown above.
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i. Find the value of `k` for which `y = 2x` is a tangent to the graph of `g`. (1 mark)
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ii. Find all values of `k` for which the graphs of `g` and `g^(-1)` do not intersect. (2 marks)
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a. `y = xlog_e x`
`(dy)/(dx)` | `= x · 1/x + log_e x` |
`= 1 + log_e x` |
`text(Find)\ x\ text(when)\ (dy)/(dx) = 0:`
`1 + log_e x` | `= 0` |
`log_e x` | `= -1` |
`x` | `= 1/e` |
`y` | `= 1/e log_e (e^(-1))` |
`= -1/e` |
`:. Q(1/e, -1/e)`
b. | `int 2x log_e(x) + x\ dx` | `= x^2 log_e (x) + c` |
`2 int x log_e(x)\ dx` | `= x^2 log_e (x)-intx\ dx + c` | |
`:. int x log_e(x)\ dx` | `= (x^2 log_e (x))/2-(x^2)/4 \ \ (c = 0)` |
c. |
`text(When)\ \ x log_e x = 0 \ => \ x = 1`
`=> b = 1`
`:.\ text(Area)` | `= −int_(1/e)^1 x log_e(x)\ dx` |
`= [(x^2)/4-(x^2 log_e(x))/2]_(1/e)^1` | |
`= (1/4-0)-(1/(4e^2)-(log_e(e^(-1)))/(2e^2))` | |
`= 1/4-(1/(4e^2) + 1/(2e^2))` | |
`= 1/4-3/(4e^2) \ text(u)^2` |
d.i. `text(When)\ \ f^{prime}(x) = m_text(tang) = 2,`
`1 + log_e(x)` | `= 2` |
`x` | `= e` |
`text(T)text(angent meets)\ \ g(x)\ \ text(at)\ \ (e, 2e)`
`g(e)` | `= f(e) + k` |
`2e` | `= e log_e e + k` |
`:.k` | `= e` |
d.ii. `text(Find the value of)\ k\ text(when)\ \ y = x\ \ text(is a tangent to)\ g(x):`
`text(When)\ \ f^{prime}(x) = 1,`
`1 + log_e(x)` | `= 1` |
`x` | `= 1` |
`text(T)text(angent occurs at)\ (1, 1)`
`g(1) = f(1) + k \ => \ k = 1`
`:.\ text(Graphs don’t intersect for)\ k ∈ (1, ∞)`
Consider the function `f(x) = x^2 + 3x + 5` and the point `P(1, 0)`. Part of the graph `y = f(x)` is shown below.
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i. Find the slope of the line connecting points `P` and `Q` in terms of `a`. (1 mark)
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ii. Find the slope of the tangent to the graph of `f` at point `Q` in terms of `a`. (1 mark)
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iii. Let the tangent to the graph of `f` at `x = a` pass through point `P`.
Find the values of `a`. (2 marks)
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iv. Give the equation of one of the lines passing through point `P` that is tangent to the graph of `f`. (1 mark)
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a. `f(1) = 1 + 3 + 5 = 9`
`text(S)text(ince)\ \ f(1) != 0, P(1, 0)\ text(does not lie on)\ \ y = f(x)`
b.i. `P(1, 0), Q(a, f(a))`
`m_(PQ)` | `= (f(a)-0)/(a-1)` |
`= (a^2 + 3a + 5)/(a-1)` |
b.ii. `f^{prime}(x) = 2x + 3`
`m_Q = f^{prime}(a) = 2a + 3`
b.iii. `text(T)text(angent:)\ m = 2a + 3,\ text(passes through)\ (a, a^2 + 3a + 5)`
`y-(a^2 + 3a + 5) = (2a + 3)(x-1)`
`text(Passes through)\ P(1, 0):`
`0-(a^2 + 3a + 5)` | `= (2a + 3)(1-a)` |
`-(a^2 + 3a + 5)` | `= 2a-2a^2 + 3-3a` |
`a^2-2a-8` | `= 0` |
`(a-4)(1 + 2)` | `= 0` |
`:. a = 4\ text(or)\ -2`
b.iv. `text(When)\ \ a = -2`
`m_text(tang) = 2x-2 + 3 = -1`
`text(Equation of line)\ \ m =-1,\ text(through)\ P(1, 0)`
`y-a` | `=-1(x-1)` |
`y` | `= -x + 1` |
`text(Similarly, if)\ \ a = 4:`
`y = 11x-11`
c. `f(x)\ text(is a quadratic with no roots.`
`text(Shortest distance needs S.P. to occur when)\ \ x = 1`
`f^{prime}(x) = 2x + 3`
`text(MIN S.P. of)\ \ f(x)\ \ text(occurs when)\ \ f^{prime}(x) = 0`
`x =-3/2`
`f(-2/3-k) = f(1)\ \ text(for shortest distance.)`
`:. k = 5/2`
Find the value of `int_0^3 (8x)/(1 + x^2)\ dx` in the form `a log_e(b)`. (2 marks)
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`4log_e 10`
`int_0^3 (8x)/(1 + x^2)\ dx`
`= 4 int_0^3 (2x)/(1 + x^2)\ dx`
`= 4[log_e (1 + x^2)]_0^3`
`= 4[log_e(1 + 9)-log_e(1 + 0)]`
`= 4[log_e 10-log_e 1]`
`= 4log_e 10`