List a set of transformations that, when applied in order, would transform `y = x^2` to the graph with equation `y = 1 - 6x - x^2`. (3 marks)
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Aussie Maths & Science Teachers: Save your time with SmarterEd
List a set of transformations that, when applied in order, would transform `y = x^2` to the graph with equation `y = 1 - 6x - x^2`. (3 marks)
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`text(T1: Translate 3 units in negative)\ xtext(-direction)`
`text(T2: Translate 10 units in negative)\ ytext(-direction)`
`text(T3: Reflect in the)\ xtext(-axis)`
`y = x^2`
`text(Transformation 1:)`
`text(Translate 3 units in negative)\ xtext(-direction)`
`y = (x + 3)^2`
`y = x^2 + 6x + 9`
`text(Transformation 2:)`
`text(Translate 10 units in negative)\ ytext(-direction)`
`y = x^2 + 6x – 1`
`text(Transformation 3:)`
`text(Reflect in the)\ xtext(-axis)`
`y` | `= −(x^2 + 6x – 1)` |
`= 1 – 6x – x^2` |
Ten high school students have their height and the length of their right foot measured.
The results are recorded in the table below.
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i. `text(By calculator,)`
`r` | `= 0.94095…` |
`= 0.941\ \ (text(to 3 d.p.))` |
ii. `text(The association is positive and strong.)`
iii. `x\ text(value ⇒ foot length (independent variables))`
`y\ text(value ⇒ height.)`
`text(By calculator:)`
`text(Height) = 47.4 + 4.7 xx text(foot length)`
`y = -(x + 2)^4/3` has been produced by three successive transformations: a translation, a dilation and then a reflection.
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i. `text(Transformation 1:)`
`text(Translate)\ \ y = x^4\ \ 2\ text(units to the left.)`
`y = x^4 \ => \ y = (x + 2)^4`
`text(Transformation 2:)`
`text(Dilate)\ \ y = (x + 2)^4\ \ text(by a factor of)\ 1/3\ text(from the)\ xtext(-axis)`
`y = (x + 2)^4 \ => \ y = ((x + 2)^4)/3`
`text(Transformation 3:)`
`text(Reflect)\ \ y = ((x + 2)^4)/3\ \ text(in the)\ xtext(-axis).`
`y = ((x + 2)^4)/3 \ => \ y = −(x + 2)^4/3`
ii. |
Jacques is a marine biologist and finds that the mass of a crab is directly proportional to the cube of the diameter of its shell.
If a crab with a shell diameter of 15 cm weighs 680 grams, what will be the diameter of a crab that weighs 1.1 kilograms? Give your answer to 1 decimal place. (2 marks)
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`17.6\ text(cm)`
`M` | `prop d^3` | |
`M` | `= kd^3` |
`text(When)\ \ M=680, \ d=15`
`680` | `=k xx 15^3` | |
`k` | `=0.201481…` |
`text(Find)\ \ d\ \ text(when)\ \ M=1100:`
`1100` | `=0.20148… xx d^3` | |
`d` | `=root3(1100/(0.20148…))` | |
`=17.608…` | ||
`=17.6\ text{cm (to 1 d.p.)}` |
The current of an electrical circuit, measured in amps `(A)`, varies inversely with its resistance, measured in ohms `(R)`.
When the resistance of a circuit is 28 ohms, the current is 3 amps.
What is the current when the resistance is 8 ohms? (2 marks)
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`10.5`
`A \prop 1/R\ \ =>\ \ A=k/R`
`text(When)\ \ A=3, \ R=28:`
`3` | `=k/28` | |
`k` | `=84` |
`text(Find)\ A\ \text{when}\ R=8:`
`A=84/8=10.5`
Let `X` denote a normal random variable with mean 0 and standard deviation 1.
The random variable `X` has the probability density function
`f(x) = 1/sqrt(2pi) e^((−x^2)/2)` where `x ∈ (−∞, ∞)`
The diagram shows the graph of `y = f(x)`.
`int_(−2)^2 f(x)\ dx` (2 marks)
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Using the result from part ii., calculate the probability of a randomly selected Rhodesian ridgeback weighing less than 36 kilograms. (2 marks)
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i. |
ii. `0.9369`
iii. `3.155text(%)`
i. |
ii. |
`int_(−2)^2 f(x)` | `~~ 1/2[0.0540 + 2(0.2420 + 0.3989 + 0.2420) + 0.0540]` |
`~~ 1/2 xx 1.8738` | |
`~~ 0.9369` |
iii. `mu = 48, sigma = 6`
`ztext(-score (36))` | `= (x – mu)/sigma= (32 – 48)/6=-2` |
`text(Shaded area = 93.69%)`
`text(By symmetry,)`
`P(X < 36\ text(kgs))` | `= P(z < −2)` |
`= (100 – 93.69)/2` | |
`= 3.155text(%)` |
The table below lists the average life span (in years) and average sleeping time (in hours/day) of 9 animal species.
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Use your equation from part i to predict its expected life span, to the nearest year. (1 mark)
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i. `text(By calculator:)`
`text(life span) = 42.89 – 2.85 xx text(sleeping time)`
ii. `text(Predicted life span of wallaby)`
`= 42.89 – 2.85 xx 4.5`
`= 30.06…`
`= 30\ text(years)`
The velocity of a particle moving along the `x`-axis at `v` metres per second at `t` seconds, is shown in the graph below.
Initially, the displacement `x` is equal to 12 metres.
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i. | `m_v` | `= -(3)/(5)` |
`v` | `= 3 – (3)/(5) t` |
`x` | `= int v \ dt` |
`= int 3 – (3)/(5) t \ dt` | |
`= 3t – (3)/(10) t^2 + c` |
`text(When) \ \ t = 0, x = 12 \ => \ c = 12`
`:. \ x = 3t – (3)/(10) t ^2 + 12`
ii. `text(When) \ \ t = 5:`
`x = 15 – (3)/(10) xx 25 + 12 = 19.5`
Ralph opens an annuity account and makes a contribution of $12 000 at the end of each year for 9 years.
For the first 8 years, the interest rate is 4% per annum, compounded annually.
For the 9th year, the interest rate decreases to 3% per annum, compounded annually.
Use the Future Value of an Annuity table to calculate the amount in the account immediately after the 9th contribution is made. (3 marks)
`$125\ 885.04`
`text(After 8 years:)`
`text(Total)` | `= 9.214 xx $12\ 000` |
`= $110\ 568` |
`text{After 9 years (9th contribution made year end):}`
`text(Total)` | `= 110\ 568 xx 1.03 + 12\ 000` |
`= $125\ 885.04` |
The table below lists the average body weight (in kilograms) and average brain weight (in grams) of nine animal species.
A least squares regression line is fitted to the data using body weight as the independent variable.
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i. `text(By calculator:)`
`text(brain weight) = 49.4 + 2.68 xx text(body weight)`
ii. `text(Predicted brain weight of a dingo)`
`= 49.4 + 2.68 xx 22.3`
`=109.164`
`= 109\ text(grams)`
The arm spans (in cm) and heights (in cm) for a group of 13 boys have been measured. The results are displayed in the table below.
The aim is to find a linear equation that allows arm span to be predicted from height.
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a. `text(Height)`
b. `text(By calculator,)`
`text(Arm span)\ = 1.09 xx text(height) – 15.63`
c. `text(On average, arm span increases by 1.09 cm)`
`text(for each 1 cm increase in height.)`
The function `f(x) = |x|` is transformed and the equation of the new function is `y = kf(x + b) + c`.
The graph of the new function is shown below.
What are the values of `k`, `b` and `c`. (2 marks)
`k = −1/3, b = 3, c = 2`
`y = |x|`
`text(Translate 3 units left) \ => \ y = |x + 3|`
`text(Reflect in the)\ xtext(-axis) \ => \ y = −|x + 3|`
`text(Dilate by)\ 1/3\ text(from the)\ x text(-axis)`
`=>\ text(Multiply by)\ 1/3 \ => \ y = −1/3|x + 3|`
`text(Translate 2 units up) \ => \ y = −1/3 |x + 3| + 2`
`:. k = −1/3, b = 3, c = 2`
The graph of `f(x)` is shown below. It has asymptotes at `y = 3` and `x = 2`.
Using interval notation, state the domain and range of `f(x)`. (2 marks)
`text(Domain:)\ [−4, 2) ∪ (2, ∞)`
`text(Range:)\ (−∞, ∞)`
`text(Domain:)\ [−4, 2) ∪ (2, ∞)`
`text(Range:)\ (−∞, ∞)`
A probability density function can be used to model the lifespan of a termite, `X`, in weeks, is given by
`f(x) = {(k(36 - x^2)),(0):}\ \ \ {:(3 <= x <= 6),(text(otherwise)):}`
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i. | `k int_3^6 36 – x^2\ dx` | `= 1` |
`k[36x – (x^3)/3]_3^6` | `= 1` | |
`k[(216 – 72)-(108 – 9)]` | `= 1` | |
`45k` | `= 1` | |
`k` | `= 1/45` |
ii. | `F(t)` | `= int_(-∞)^t f(x)\ dx` |
`= int_3^t f(x)\ dx` | ||
`= 1/45 int_3^t 36 – x^2\ dx` | ||
`= 1/45 [36x – (x^3)/3]_3^t` | ||
`= 1/135[108x – x^3]_3^t` | ||
`= 1/35[(108t – t^3) – (324 – 27)]` | ||
`= 1/135(108t – t^3 – 297)` |
`:. F(x) = {(0),(1/135 (108t – t^3 – 297)),(1):}\ \ \ {:(x < 3),(3 <= x <= 6),(x > 6):}`
iii. | `P(X > 5)` | `= 1 – F(5)` |
`= 1 – 1/135(108 xx 5 – 5^3 – 297)` | ||
`= 1 – 118/135` | ||
`= 17/135` |
The population, `D`, of Tasmanian Devils in a sanctuary is given by `D(t)`, where `t` is the time in years after the sanctuary was established.
The devil population changes at a rate modelled by the function `(dD)/(dt) = 28 e^(0.35t)`.
Calculate the increase in the number of Tasmanian Devils at the end of the first 8 years. Give your answer correct to three significant figures. (3 marks)
`1240 \ text((to 3 sig. fig.))`
`int_0^8 28e^(0.35t)` | `= [28 xx (1)/(0.35) e^(0.35t)]_0^8` |
`= 80(e^(0.35 xx 8) – e°)` | |
`= 80(16.44 … – 1)` | |
`= 1235.57 …` | |
`= 1240 \ text((to 3 sig. fig.))` |
The function `f(theta) = sin^3(2 theta)`.
If `f′(theta) = 6 cos(2 theta) - 6 cos^n (2 theta)`, find the value of `n`. (2 marks)
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`3`
`f(theta)` | `= sin^3(2 theta)` |
`= (sin(2theta))^3` |
`f′(theta)` | `= 3 xx 2cos(2 theta) xx sin^2(2 theta)` |
`= 6 cos(2 theta)(1 – cos^2(2 theta))` | |
`= 6 cos (2 theta) – 6 cos^3(2 theta)` |
`:. \ n = 3`
Given the function `f(x) = sqrt(3 - x)` and `g(x) = x^2 - 2`, sketch `y = g(f(x))` over its natural domain. (2 marks)
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Two archers play a game where each can aim for a large target or a small target.
If an arrow hits the large target it scores `L` points, and if it hits the small target, it scores `S` points.
The results of a game are shown in the table below.
By forming a pair of simultaneous equations, or otherwise, find the value of `L` and `S`. (3 marks)
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`L = 3, S = 7`
`5L + 8S = 71\ \ …\ (1)`
`12L + 5S = 71\ \ …\ (2)`
`text(Multiply (1)) xx 5`
`25L + 40S = 355\ \ …\ (3)`
`text(Multiply (2)) xx 8`
`96L + 40S = 568\ \ …\ (4)`
`text{Subtract (4) − (3)}`
`71L` | `= 213` |
`:. L` | `= 3` |
`text(Substitute)\ \ L = 3\ \ text(into (1))`
`8S` | `= 56` |
`:. S` | `= 7` |
The discrete random variable `X` has the probability distribution shown in the table below.
`X = x` | `4` | `5` | `6` | `7` | `8` | |
`P(x)` | `0.3` | `a` | `0.1` | `0.15` | `0.2` |
Find the value of `a`, and hence calculate the the expected value and variance of `X`. (3 marks)
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`2.31`
`0.3 + a + 0.1 + 0.15 + 0.2 = 1`
`=> \ a = 0.25`
`E(X) = ∑ x P(x)`
`qquad X = x` | `4` | `5` | `6` | `7` | `8` | |
`qquad P(x) qquad` | `0.3` | `0.25` | `0.1` | `0.15` | `0.2` | |
`qquad x xx P(x) qquad` | `1.2` | `1.25` | `0.6` | `1.05` | `1.6` |
`E(X)` | `= 1.2 + 1.25 + 0.6 + 1.05 + 1.6` |
`= 5.7` |
`text(Var)(X)` | `= E(X^2) – [E(X)]^2` |
`= (4^2 xx 0.3) + (5^2 xx 0.25) + (6^2 xx 0.1) + (7^2 xx 0.15) + (8^2 xx 0.2) – 5.7^2` | |
`= 2.31` |
A continuous probability density function graph is drawn below.
Which of the following is the mode?
`C`
`text(Mode is the most common)\ xtext(-value.)`
`ytext(-axis measures the probability.)`
`text(Highest probability = 0.42)`
`:.\ text(Mode = 1.5)`
`=>\ C`
If `f(x)=log_2(x^(2x))`, which expression is equal to `f^(′)(x)`?
`B`
`f(x)` | `=log_2(x^(2x))` | |
`=2x log_2x` | ||
`=(2x lnx)/ln2` |
`f^(′)(x)` | `=1/ln2 (2x*1/x + 2lnx)` | |
`=2/ln2 + (2lnx)/ln2` | ||
`=2/ln2 + 2log_2x` |
`=> B`
The zoo’s management requests quotes for parts of the new building works.
Four businesses each submit quotes for four different tasks.
Each business will be offered only one task.
The quoted cost, in $100 000, of providing the work is shown in Table 1 below.
The zoo’s management wants to complete the new building works at minimum cost.
The Hungarian algorithm is used to determine the allocation of tasks to businesses.
The first step of the Hungarian algorithm involves row reduction; that is, subtracting the smallest element in each row of Table 1 from each of the elements in that row.
The result of the first step is shown in Table 2 below.
The second step of the Hungarian algorithm involves column reduction; that is, subtracting the smallest element in each column of Table 2 from each of the elements in that column.
The results of the second step of the Hungarian algorithm are shown in Table 3 below. The values of Task 1 are given as `A, B, C` and `D`.
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Draw these three lines on Table 3 above. (1 mark)
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When all steps of the Hungarian algorithm are complete, a bipartite graph can show the allocation for minimum cost.
Complete the bipartite graph below to show this allocation for minimum cost. (1 mark)
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How much is this reduction? (1 mark)
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a. `A = 2, \ B = 1, \ C = 1, \ D = 0`
b. |
c. `text(After next step:)`
`text(Allocation): `
d. `text{Hungarian Algorithm table (complete):}`
`text(Allocation): B2 -> T3,\ B1 -> T4,\ B3 -> T2,\ B4 -> T1`
`text(C)text(ost) = 4 + 7 + 8 + 10 = 29`
`text(Previous cost) = 5 + 10 + 8 + 8 = 31`
`:.\ text(Reduction)` | `= 2 xx 100\ 000` |
`= $200\ 000` |
A cake in the shape of three cylindrical sections is shown in the diagram below.
Each section of the cake has a height of 8 cm, as shown in the diagram.
The middle section of the cake, B, has twice the volume of the top section of the cake, A.
The bottom section of the cake, C, has twice the volume of the middle section of the cake, B.
The volume of the top section of the cake, A, is 900 cm3.
The diameter of the bottom section of the cake, C, in centimetres, is closest to
`C`
`text(Volume) \ C` | `= 900 xx 4` |
`= 3600 \ text(cm)^3` |
`pi xx r_C^2 xx h` | `= 3600` |
`r_C^2` | `= (3600)/(8 pi)` |
`r_C^2` | `= 11.968 \ …` |
`:. \ text(Diameter of)\ C ≈ 24\ text(cm)`
`=> \ C`
The cities of Lima and Washington, DC have the same longitude of 77° W.
The shortest great circle distance between Lima and Washington, DC is 5697 km.
Assume that the radius of Earth is 6400 km.
Lima has a latitude of 12° S and is located due south of Washington, DC.
What is the latitude of Washington, DC?
`A`
A waterfall in a national park is 4 km east of a camp site.
A lookout tower is 4 km south of the waterfall.
The bearing of the camp site from the lookout tower is
`E`
The construction of the new reptile exhibit is a project involving nine activities, `A` to `I`.
The directed network below shows these activities and their completion times in weeks.
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a. `D, G and I`
b. `text(Scanning forwards and backwards:)`
`text(Critical Path:)\ ACDFGI`
c. | `text{LST (activity}\ B text{)}` | `= 7 – 5` |
`= 2\ text(weeks)` |
A zoo has an entrance, a cafe and nine animal exhibits: bears `(B)`, elephants `(E)`, giraffes `(G)`, lions `(L)`, monkeys `(M)`, penguins `(P)`, seals `(S)`, tigers `(T)` and zebras `(Z)`.
The edges on the graph below represent the paths between the entrance, the cafe and the animal exhibits. The numbers on each edge represent the length, in metres, along that path. Visitors to the zoo can use only these paths to travel around the zoo.
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A reptile exhibit `(R)` will be added to the zoo.
A new path of length 20 m will be built between the reptile exhibit `(R)` and the giraffe exhibit `(G)`.
A second new path, of length 35 m, will be built between the reptile exhibit `(R)` and the cafe.
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By how many metres will these new paths reduce the minimum distance between the giraffe exhibit `(G)` and the cafe? (1 mark)
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a. `45\ text(metres)`
b.i. `text(Hamilton cycle.)`
b.ii. |
`text(Possible route:)`
`text(entrance)\ – LGTMCEBSZP\ –\ text(entrance)`
c. |
d. `text{Minimum distance (before new exhibit)}`
`= GLTMC`
`= 15 + 35 + 40 + 50`
`= 140\ text(m)`
`:.\ text(Reduction in minimum distance)`
`= 140 – (20 + 35)`
`= 85\ text(m)`
After 5.00 pm, tourists will start to arrive in Gillen and they will stay overnight.
As a result, the number of people in Gillen will increase and the television viewing habits of the tourists will also be monitored.
Assume that 50 tourists arrive every hour.
It is expected that 80% of arriving tourists will watch only `C_2` during the hour that they arrive.
The remaining 20% of arriving tourists will not watch television during the hour that they arrive.
Let `W_m` be the state matrix that shows the number of people in each category `m` hours after 5.00 pm on this day.
The recurrence relation that models the change in the television viewing habits of this increasing number of people in Gillen `m` hours after 5.00 pm on this day is shown below.
`W_(m + 1) = TW_m + V`
where
`{:(quad qquad qquad qquadqquadqquadquadtext(this hour)),(qquadqquadqquad quad \ C_1 qquad quad C_2 qquad \ C_3 quad \ NoTV),(T = [(quad 0.50, 0.05, 0.10, 0.20 quad),(quad 0.10, 0.60, 0.20, 0.20 quad),(quad 0.25, 0.10, 0.50, 0.10 quad),(quad 0.15, 0.25, 0.20, 0.50 quad)]{:(C_1),(C_2),(C_3),(NoTV):}\ text(next hour,) qquad and qquad W_0 = [(400), (600), (300),(700)]):}`
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a. `V=[(0),(40),(0),(10)]`
b. | `W_1` | `=TW_0+V` |
`=[(quad 0.50, 0.05, 0.10, 0.20 quad),(quad 0.10, 0.60, 0.20, 0.20 quad),(quad 0.25, 0.10, 0.50, 0.10 quad),(quad 0.15, 0.25, 0.20, 0.50 quad)] [(400),(600),(300),(700)]+[(0),(40),(0),(10)]=[(400),(640),(380),(630)]` | ||
`W_2` | `=TW_1+V=[(396),(666),(417),(621)]` |
`:.\ text(666 people are expected to watch)\ C_2\ text(at 7 pm.)`
The basketball finals will be televised on `C_3` from 12.00 noon until 4.00 pm.
It is expected that 600 Gillen residents will be watching `C_3` at any time from 12.00 noon until 4.00 pm.
The remaining 1400 Gillen residents will not be watching `C_3` from 12.00 noon until 4.00 pm (represented by NotC3).
`{:(qquadqquadqquadquadtext(this hour)),(qquadqquadqquad \ C_3 quadquad \ NotC_3),(P = [(v, qquad quad w quad),(0.35, quad qquad x quad)]{:(C_3),(NotC_3):}\ text(next hour)):}`
Write down the values of `v, w` and `x` in the boxes provided below. (2 marks)
`v =` |
|
`w =` |
|
`x =` |
|
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`v = 0.65, \ w = 0.15, \ x = 0.85`
`v = 1-0.35 = 0.65`
`text(Residents who change from)\ C_3\ text(to Not)C_3`
`= 0.35 xx 600`
`= 210`
`text(S) text(ince 600 residents are watching)\ C_3\ text(at any time)`
`w xx 1400` | `= 210` |
`w` | `= 0.15` |
`:. x` | `= 1-0.15` |
`= 0.85` |
Three television channels, `C_1, C_2` and `C_3`, will broadcast the International Games in Gillen.
Gillen’s 2000 residents are expected to change television channels from hour to hour as shown in the transition matrix `T` below.
The option for residents not to watch television (NoTV) at that time is also indicated in the transition matrix.
`{:(qquadqquadqquadqquadqquadquadtext(this hour)),(qquadqquadqquad \ C_1 quadquad \ C_2 quadqquad C_3 quad \ NoTV),(T = [(0.50,0.05,0.10,0.20),(0.10,0.60,0.20,0.20),(0.25,0.10,0.50,0.10),(0.15,0.25,0.20,0.50)]{:(C_1),(C_2),(C_3),(NoTV):}text(next hour)):}`
The state matrix `G_0` below lists the number of Gillen residents who are expected to watch the games on each of the channels at the start of a particular day (9.00 am).
Also shown is the number of Gillen residents who are not expected to watch television at that time.
`G_0 = [(100), (400), (100), (1400)]{:(C_1), (C_2), (C_3), (NoTV):}`
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|
`xx 100 +` |
|
`xx 400 +` |
|
`xx 100 ` |
`+\ \ ` |
|
`xx 1400 ` | `= 835` |
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a. `0.15 xx 100 + 0.25 xx 400 + 0.20 xx 100 + 0.50 xx 1400 = 835`
b. `G_1 text{(11:00 am)} = TG_0 = [(400),(584),(356),(660)]`
`:. 356\ text(residents are expected to watch)\ C_3\ text(at 11:00 am).`
A total of six residents from two towns will be competing at the International Games.
Matrix `A`, shown below, contains the number of male `(M)` and the number of female `(F)` athletes competing from the towns of Gillen `(G)` and Haldaw `(H)`.
`{:(qquad qquad quad \ M quad F), (A = [(2, 2), (1, 1)]{:(G),(H):}):}`
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Each of the six athletes will compete in one event: table tennis, running or basketball.
Matrices `T` and `R`, shown below, contain the number of male and female athletes from each town who will compete in table tennis and running respectively.
Table tennis | Running | |
`{:(qquad qquad quad \ M quad F), (T = [(0, 1), (1, 0)]{:(G),(H):}):}` |
`{:(qquad qquad quad \ M quad F), (R = [(1, 1), (0, 0)]{:(G),(H):}):}` |
Complete matrix `B` below. (1 mark)
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`{:(qquad qquad qquad \ M qquad quad F), (B = [(\ text{___}, text{___}\ ), (\ text{___}, text{___}\)]{:(G),(H):}):}`
Matrix `C` contains the cost of one uniform, in dollars, for each of the three events: table tennis `(T)`, running `(R)` and basketball `(B)`.
`C = [(515), (550), (580)]{:(T), (R), (B):}`
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`Q = [(1, text{___}, text{___}\ ), (0, 0, 1), (0, 1, 1), (\ text{___}, text{___}, 0)]`
a. `2`
b. `B = [(1, 0), (0, 1)]`
c.i. `text(Table tennis)`
c.ii. `[2\ \ \ 0\ \ \ 0] xx [(515), (550), (580)] = [1030]`
d. `Q = [(1, \ 1, \ 0),(0, \ 0, \ 1),(0, \ 1, \ 1),(1, \ 0, \ 0)]`
Evaluate `int_0^1 e^x - e^-x\ dx`. (2 marks)
`e + (1)/(e) – 2`
`int_0^1 e^x – e^-x\ dx` | `= [e^x + e^-x]_0^1` |
`= [e + (1)/(e) – (1 + 1)]` | |
`= e + (1)/(e) – 2` |
Let `f(x) = -x^2 + x + 4` and `g(x) = x^2 - 2`.
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a. `f(3)` | `= -3^2 + 3 + 4` |
`= -2` |
`g(f(3))` | `= g(-2)` |
`= (-2)^2 – 2` | |
`= 2` |
b. `f(g(x))` | `= -(x^2 – 2)^2 + (x^2 – 2) + 4` |
`= -(x^4 – 4x^2 + 4) + x^2 + 2` | |
`= -x^4 + 5x^2 – 2` |
Let `overset^p` be the random variable that represents the sample proportions of customers who bring their own shopping bags to a large shopping centre. From a sample consisting of all customers on a particular day, an approximate 95% confidence interval for the proportion `p` of customers who bring their own shopping bags to this large shopping centre was determined to be `((4853)/(50\ 000) , (5147)/(50\ 000))`. --- 3 WORK AREA LINES (style=lined) --- --- 5 WORK AREA LINES (style=lined) ---
a. `overset^p – z sqrt((overset^p(1 – overset^p))/(n)) = (4853)/(50\ 000) \ \ , \ \ overset^p + z sqrt((overset^p(1 – overset^p))/(n)) = (5147)/(50\ 000)`
`2 overset^p`
`= (4853)/(50\ 000) + (5147)/(50\ 000)`
`:. \ overset^p`
`=1/10`
b. `(1)/(10) + (49)/(25) sqrt(({1)/{10}(1 – {1}/{10}))/(n)`
`= (5147)/(50000)`
`(49)/(25) sqrt((9)/(100n))`
`= (147)/(50000)`
`(49)/(25) * (3)/(10) * (1)/(sqrtn)`
`= (147)/(25 xx 2000)`
`(147)/(sqrtn)`
`= (147)/(200)`
`sqrtn`
`= 200`
`:. \ n`
`= 40\ 000`
Let `f : [ 0, (pi)/(2)] → R, \ f(x) = 4 cos(x)` and `g : [0, (pi)/(2)] → R, \ g(x) = 3 sin(x)`.
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Find the value of `sin(c)` and the value of `cos(c)`. (3 marks)
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a.
b. `text(At intersection:)`
`4cos(c)` | `= 3sin(c)` |
`tan(c)` | `= (4)/(3)` |
`sin(c) = (4)/(5)`
`cos(c) = (3)/(5)`
c. i.
ii. `A` | `= int_0^c g(x)\ dx + int_c^((pi)/(2)) f(x)\ dx` |
`= int_0^c 3sin x \ dx + int_c^((pi)/(2)) 4cos \ x \ dx` | |
`= 3[-cos x]_0^c + 4[sin x]_c^((pi)/(2))` | |
`= 3(-cos(c) + cos \ 0) + 4(sin \ (pi)/(2)-sin(c))` | |
`= 3(-(3)/(5) + 1) + 4(1-(4)/(5))` | |
`= (6)/(5) + (4)/(5)` | |
`= 2 \ \ text(u²)` |
The discrete random variable `X` has the probability mass function `text(Pr)(X = x) = {(kx), (k), (0):} qquad {:(x∈{1, 4, 6}), (x = 3), (text(otherwise)):}` --- 5 WORK AREA LINES (style=lined) --- --- 5 WORK AREA LINES (style=lined) --- --- 5 WORK AREA LINES (style=lined) ---
a.
`qquad X`
`qquad 1 qquad`
`qquad 3 qquad`
`qquad 4 qquad`
`qquad 6 qquad`
`qquad Pr(X = x) qquad`
`k`
`k`
`4k`
`6k`
`k + k+4k + 6k`
`= 1`
`12k`
`= 1`
`k`
`= (1)/(12)`
b. `E(X)`
`= ∑ x text(Pr)(X = x)`
`= k + 3k + 16k + 36k`
`= 56k`
`= (56)/(12)`
`= (14)/(3)`
c. `text(Pr) (X ≥ 3 | X ≥ 2)`
`= (text(Pr) (X ≥ 3 ∩ X ≥ 2))/(text(Pr) (X ≥ 2))`
`= (text(Pr) (X ≥ 3))/(text(Pr) (X ≥ 2))`
`= (k + 4k + 6k)/(k + 4k + 6k)`
`= 1`
Solve `log_3(t) - log_3(t^2 - 4) = -1` for `t`. (3 marks)
`4 `
`log_3(t) – log_3(t^2 – 4)` | `= -1` |
`log_3 ({t}/{t^2 – 4})` | `= -1` |
`(t)/(t^2 – 4)` | `= (1)/(3)` |
`t^2 – 4` | `= 3t` |
`t^2 – 3t – 4` | `= 0` |
`(t – 4)(t+ 1)` | `= 0` |
`:. t=4 \ \ \ (t > 0, \ t!= –1)`
Evaluate `int_0^1 e^x-e^-x\ dx`. (2 marks)
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`e + (1)/(e)-2`
`int_0^1 e^x-e^-x\ dx` | `= [e^x + e^-x]_0^1` |
`= [e + (1)/(e)-(1 + 1)]` | |
`= e + (1)/(e)-2` |
Let `f(x) = -x^2 + x + 4` and `g(x) = x^2-2`.
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a. `f(3)` | `= -3^2 + 3 + 4` |
`= -2` |
`g(f(3))` | `= g(-2)` |
`= (-2)^2-2` | |
`= 2` |
b. `f(g(x))` | `= -(x^2-2)^2 + (x^2-2) + 4` |
`= -(x^4-4x^2 + 4) + x^2 + 2` | |
`= -x^4 + 5x^2-2` |
Marty has been depreciating the value of his car each year using flat rate depreciation.
After three years of ownership, the value of the car was halved due to an accident.
Marty continued to depreciate the value of his car by the same amount each year after the accident.
Which one of the following graphs could show the value of Marty’s car after `n` years, `C_n`?
A. | B. | ||
C. | D. | ||
E. |
`C`
`text(Flat rate depression)`
`=>\ text{graph decreases in a straight line.}`
`text(Value of the car halves between)\ C_3\ text(and)\ C_4\ \ text(and then)`
`text(continues with the same gradient.)`
`=>\ C`
Point `C` lies on `AB` such that `overset(->)(AC) = lambdaoverset(->)(AB)`.
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i. |
`underset~c = underset~a + overset(->)(AC)`
`overset(->)(AB)` | `= underset~b-underset~a` |
`overset(->)(AC)` | `= lambdaoverset(->)(AB)` |
`= lamda(underset~b-underset~a)` |
`:.underset~c` | `= underset~a + lambda(underset~b-underset~a)` |
`= lambdaunderset~b + (1-lambda)underset~a` |
ii. | `overset(->)(BC)` | `= underset~c-underset~b` |
`= lambdaunderset~b + (1-lambda)underset~a-underset~b` | ||
`=(1-lambda)underset~a +(lambda-1)underset~b` | ||
`=(1-lambda)underset~a -(1-lambda)underset~b` | ||
`= (1-lambda)(underset~a-underset~b)` |
Using vectors, calculate the acute angle between the line that passes through `A(1, 3)` and `B(2,–6)` and the line that passes through `C(1, 5)` and `D(3,–2)`.
Give your answer correct to one decimal place. (2 marks)
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`9.6°`
`underset~a = ((1),(3)), \ underset~b = ((2),(−6)), \ underset~c = ((1),(5)), \ underset~d = ((3),(−2))`
`overset(->)(AB)` | `= underset~b – underset~a = ((2),(−6)) – ((1),(3)) = ((1),(−9))` |
`overset(->)(CD)` | `= underset~d – underset~c = ((3),(−2)) – ((1),(5)) = ((2),(−7))` |
`costheta` | `= (overset(->)(AB) · overset(->)(CD))/(|overset(->)(AB)| · |overset(->)(CD)|)` |
`= (2 + 63)/(sqrt82 · sqrt53)` | |
`= 0.985…` |
`:. theta` | `=cos^(-1) 0.985…` |
`= 9.605…` | |
`= 9.6°\ \ (text(to 1 d.p.))` |
A force described by the vector `underset~F = ((3),(6))` newtons is applied to a line `l` which is parallel to the vector `((4),(3))`.
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i. `underset~F = ((3),(6)), \ underset~v = ((4),(3))`
`underset~overset^v = underset~v/(|underset~v|) = underset~v/sqrt(4^2 + 3^2) = 1/5 underset~v=((0.8),(0.6))`
`underset~ F · underset~overset^v` | `= ((3),(6))((0.8),(0.6))` |
`= 3 xx 0.8 + 6 xx 0.6` | |
`= 6` |
`text(proj)_(underset~v) underset~F` | `= (underset~F · underset~overset^v) underset~overset^v` |
`= 6((0.8),(0.6))` | |
`= ((4.8),(3.6))` |
ii. `text(Component of)\ underset~F ⊥ l`
`= ((3),(6)) – ((4.8),(3.6))`
`= ((−1.8),(2.4))`
In the diagram below, `ROT` is a diameter of the circle with centre `O`.
`S` is a point on the circumference.
Using the properties of vectors `underset~r`, `underset~s` and `underset~t`, show that `angleRST` is a right angle. (2 marks)
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`text{Proof (See Worked Solutions)}`
`|underset~r|` | `= |underset~s| = |underset~t|\ \ \ text{(radii)}` |
`underset~r` | `= −underset~t` |
`overset(->)(RS)` | `= underset~s-underset~r` |
`overset(->)(TS)` | `= underset~s-underset~t` |
`overset(->)(RS) · overset(->)(TS)` | `= (underset~s-underset~r) · (underset~s-underset~t)` |
`= (underset~s-underset~r) · (underset~s + underset~r)\ \ \ \ (text{using}\ \ underset~r = – underset~t)` | |
`= underset~s · (underset~s + underset~r)-underset~r · (underset~s + underset~r)` | |
`= underset~s · underset~s + underset~s · underset~r-underset~r · underset~s-underset~r · underset~r` | |
`= |underset~s|^2-|underset~r|^2` | |
`= 0` |
`:. overset(->)(RS) ⊥ overset(->)(TS)`
`:. angleRST\ \ text(is a right angle.)`
Tisha plays drums in the same band as Marlon.
She would like to buy a new drum kit and has saved $2500.
The balance of this investment after `n` months, `T_n` could be determined using the recurrence relation below
`T_0 = 2500, \ \ \ \ T_(n+1) = 1.0036 xx T_n`
Calculate the total interest that would be earned by Tisha's investment in the first five months.
Round your answer to the nearest cent. (2 marks)
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Tisha could invest the $2500 in a different account that pays interest at the rate of 4.08% per annum, compounding monthly. She would make a payment of $150 into this account every month.
Write down a recurrence relation, in terms of `V_0`, `V_n` and `V_(n + 1)`, that would model the change in the value of this investment. (1 mark)
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What annual interest rate would Tisha require?
Round your answer to two decimal places. (1 mark)
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a. `T_1 = 1.0036 xx 2500 = 2509`
`T_2 = 1.0036 xx 2509 = 2518.0324`
`vdots`
`T_5 = 2545.33`
`:. \ text(Total interest) ` | `= 2545.33-2500` |
`= $45.33` |
b. `text(Monthly interest) = (4.08)/(12) = 0.34%`
`:. \ V_0 = 2500, \ V_(n+1) = 1.0034 xx V_n + 150`
c. `text(By TVM Solver:)`
`N` | `= 12` | |
`I text(%)` | `=?` | |
`PV` | `=-2500` | |
`PMT` | `=-150` | |
`FV` | `=4500` | |
`text(PY)` | `= text(CY)=12` |
`=> I = 5.87%`
Marlon plays guitar in a band.
He paid $3264 for a new guitar.
The value of Marlon's guitar will be depreciated by a fixed amount for each concert that he plays.
After 25 concerts, the value of the guitar will have decreased by $200.
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Complete the rule below by writing the appropriate numbers in the boxes provided. (1 mark)
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`G_n =` – × `n`
After how many concerts will the value of Marlon's guitar first fall below $2500? (2 marks)
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a. `text(Value)` | `= 3264-200` |
`= $3064` |
b. `text(Depreciation per concert)` | `= (200)/(25)` |
`= $8 \ text(per concert)` |
c. `G_n = 3264 – 8 xx n`
d. `text(Find) \ n \ text(when) \ \ G_n = 2500:`
`2500` | `= 3264 – 8n` |
`n` | `= (3264-2500)/8` |
`= 95.5` |
`:. \ text(After) \ 96 \ text(concerts, value first falls below $2500)`
A random sample of 12 mammals drawn from a population of 62 types of mammals was categorized according to two variables. likelihood of attack (1 = low, 2 = medium, 3 = high) exposure to attack during sleep (1 = low, 2 = medium, 3 = high) The data is shown in the following table. --- 0 WORK AREA LINES (style=lined) --- The following two-way frequency table was formed from the data generated when the entire population of 62 types of mammals was similarly categorized. --- 5 WORK AREA LINES (style=lined) --- --- 2 WORK AREA LINES (style=lined) --- --- 4 WORK AREA LINES (style=lined) ---
`= 50 %`
`text(of attack is associated with low exposure to attack during sleep.)`
`text(- 91%) \ ({31}/{34}) \ text(of animals with low exposure to attack)`
`text(during sleep, have a low likelihood of attack.)`
`text(- Similarly, 89% of animals with a medium exposure to attack during)`
`text(sleep have a low likelihood of attack.)`
`text(- 11% of animals with a high exposure to attack during sleep have)`
`text(a low likelihood of attack)`
a. b. i. `15` iii. `text(The data supports the contention that animals with a low likelihood)` `text(of attack is associated with low exposure to attack during sleep.)` `text(- 91%) \ ({31}/{34}) \ text(of animals with low exposure to attack)` `text(during sleep, have a low likelihood of attack.)` `text(- Similarly, 89% of animals with a medium exposure to attack during)` `text(sleep have a low likelihood of attack.)` `text(- 11% of animals with a high exposure to attack during sleep have)` `text(a low likelihood of attack)`
ii. `text(Percentage)`
`= (2)/(4) xx 100`
`= 50%`
The scatterplot below plots the variable life span, in years, against the variable sleep time, in hours, for a sample of 19 types of mammals.
On the assumption that the association between sleep time and life span is linear, a least squares line is fitted to this data with sleep time as the explanatory variable.
The equation of this least squares line is
life span = 42.1 – 1.90 × sleep time
The coefficient of determination is 0.416
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`text(Direction is negative.)`
`text(1.9 years for each additional hour of sleep time.)`
`text(variation in sleep time.)`
a. `text{Graph endpoints (0, 42.1) and (18, 7.9)}`
b. `text(Strength is moderate.)`
`text(Direction is negative.)`
c. `text(The gradient of –1.9 means that life span decreases by)`
`text(1.9 years for each additional hour of sleep time.)`
d. `text(41.6% of the variation in life span can be explained by the )`
`text(variation in sleep time.)`
e. `text(Predicted value)` | `= 42.1 – 1.9 xx 12` |
`= 19.3 \ text(years)` |
`text(Residual)` | `= text(actual) – text(predicted)` |
`= 39.2 – 19.3` | |
`= 19.9 \ text(years)` |
The life span, in years, and gestation period, in days, for 19 types of mammals are displayed in the table below.
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a. `text(gestation period)`
b. `text(Input data points into CAS:)`
`text(life span) = 7.58 + 0.101 xx \ text(gestation period)`
c. `r = 0.904 \ text{(by CAS)}`
The five-number summary below was determined from the sleep time, in hours, of a sample of 59 types of mammals. \begin{array} {|l|c|} --- 5 WORK AREA LINES (style=lined) --- --- 0 WORK AREA LINES (style=lined) ---
\hline
\rule{0pt}{2.5ex} \ \ \ \textbf{Statistic} \rule[-1ex]{0pt}{0pt} & \textbf{Sleep time (hours)} \\
\hline
\rule{0pt}{2.5ex} \text{minimum} \rule[-1ex]{0pt}{0pt} & \text{2.5} \\
\hline
\rule{0pt}{2.5ex} \text{first quartile} \rule[-1ex]{0pt}{0pt} & \text{8.0} \\
\hline
\rule{0pt}{2.5ex} \text{median} \rule[-1ex]{0pt}{0pt} & \text{10.5} \\
\hline
\rule{0pt}{2.5ex} \text{third quartile} \rule[-1ex]{0pt}{0pt} & \text{13.5} \\
\hline
\rule{0pt}{2.5ex} \text{maximum} \rule[-1ex]{0pt}{0pt} & \text{20.0} \\
\hline
\end{array}
a. `IQR = Q_3-Q_1 = 13.5-8.0 = 5.5` `=> \ text(no outliers)` b.
`text(Lower fence)`
`= Q_1-1.5 xx IQR`
`= 8-1.5 xx 5.5`
`= -0.25`
`text(Upper fence)`
`= Q_3 + 1.5 xx IQR`
`= 13.5 + 1.5 xx 5.5`
`= 21.75`
`text(S) text(ince) \ -0.25 < 2.5 \ text{(minimum value) and} \ 21.75 > 20.0 \ text{(maximum value)}`
The table below displays the average sleep time, in hours, for a sample of 19 types of mammals.
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`sigma = 4.2 \ text(hours)`
a. `text(type of mammal is nominal)`
b. `text(mean)= 9.2 \ text(hours) \ \ text{(by CAS)}`
`sigma = 4.2 \ text(hours) \ \ text{(by CAS)}`
c. `text(Percentage)` | `= (6)/(19) xx 100` |
`= 0.3157 …` | |
`= 31.6text(%)` |
d. `text(Range increase)` | `= 19.9-14.5` |
`= 5.4 \ text(hours)` |
Four cards are placed face down on a table. The cards are made up of a Jack, Queen, King and Ace.
A gambler bets that she will choose the Queen in a random pick of one of the cards.
If this process is repeated 7 times, express the gambler's success as a Bernoulli random variable and calculate
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i. `text(Let)\ \ X = text(number of Queens chosen)`
`X\ ~\ text(Bin) (7,1/4)`
`E(X)` | `=np` |
`= 7 xx 1/4` | |
`=7/4` |
ii. | `text(Var)(X)` | `= np(1-p)` |
`=7/4(1-1/4)` | ||
`= 21/16` |
In January 2018, an online shop had 260 customer accounts.
In June 2018, the shop had 500 customer accounts.
The graph below shows the number of customer accounts, `a`, with the online shop `n` months after January 2018, for a period of 10 months.
The growth in the number of customer accounts that this graph shows is expected to continue beyond these 10 months, following the same trend.
How many customer accounts can the online shop expect to have at the end of December 2019 `(n = 23)`?
`A`
`text(Graph passes through)\ \ (0, 260) \ and \ (5, 500)`
`:. m = (500 – 260)/5 ~~ 48`
`text(Equation:)\ \ a = 260 + 48n`
`text(When)\ \ n = 23,`
`a` | `~~ 260 + 48 xx 23` |
`~~ 1364` |
`=> A`
The revenue, `R`, in dollars, that a company receives from selling `n` caps is given by the equation
`R = {(25n, qquad n <= 1000),(20n + c, qquad n> 1000):}`
The graph of this revenue equation consists of two straight lines that intersect at the point where `n = 1000`.
What is the value of `c` in this revenue equation?
`E`
`text(Intersection at)\ \ n = 1000`
`25 xx 1000` | `= 20 xx 1000 + c` |
`:. c` | `= 5000` |
`=> E`
The graph below shows a relationship between `x` and `y`.
The rule that represents this relationship between `x` and `y` is
`C`
`text(When)\ \ x^2 = 3,\ \ y = 2`
`text(Consider)\ C:`
`y` | `= 2/3 x^2` |
`2` | `= 2/3 xx 3` ✔ |
`=> C`
Matrix `W` is a `3 xx 2` matrix.
Matrix `Q` is a matrix such that `Q xx W = W`.
Matrix `Q` could be
A. | `\ [1]` | B. | `\ [(1,0),(0,1)]` | C. | `\ [(1,1),(1,1),(1,1)]` |
D. | `\ [(1,0,0),(0,1,0),(0,0,1)]` | E. | `\ [(1,1,1),(1,1,1),(1,1,1)]` |
`D`
`W = (3 xx 2)`
`[(1,0,0),(0,1,0),(0,0,1)][(e_11,e_12),(e_21,e_22),(e_31,e_32)] = [(e_11,e_12),(e_21,e_22),(e_31,e_32)]`
`=>\ D`
In a game between two teams, Hillside and Rovers, each team can score points in two ways.
The team may hit a Full or the team may hit a Bit.
More points are scored for hitting a Full than for hitting a Bit.
A team’s total point score is the sum of the points scored from hitting Fulls and Bits.
The table below shows the scores at the end of the game.
Let `f` be the number of points scored by hitting one Full.
Let `b` be the number of points scored by hitting one Bit.
Which one of the following matrix products can be evaluated to find the matrix `[(f),(b)]`?
A. | `\ [(4,8),(5,2)]^(−1) xx [(52),(49)]` | B. | `\ [(4,8),(5,2)] xx [(52),(49)]` | C. | `\ [(52,49)][(4,8),(5,2)]` |
D. | `\ [(52,49)][(4,8),(5,2)]^(−1)` | E. | `\ [(4,8,52),(5,2,49)]^(−1)` |
`A`
`[(4,8),(5,2)][(f),(b)]` | `= [(52),(49)]` |
`[(f),(b)]` | `= [(4,8),(5,2)]^(−1)[(52),(49)]` |
`=>\ A`
Four teams, blue (`B`), green (`G`), orange (`O`) and pink (`P`), played each other once in a competition.
There were no draws in this competition.
The results of the competition are shown in the matrix below.
`{:(),(),(text(winner)):}{:(qquadqquad\ text(loser)),((qquadquadB,G,O,P)),({: (B), (G), (O), (P):}[(text(−),1,v,1),(0,text(−),1,1),(0,w,text(−),0),(0,0,x,text(−))]):}`
The letters `v`, `w` and `x` each have a value of 0 or 1.
A 1 in the matrix shows that the team named in that row defeated the team named in that column.
A 0 in the matrix shows that the team named in that row was defeated by the team named in that column.
A dash (–) in the matrix shows that no game was played.
The values of `v`, `w` and `x` are
`C`
`v = 1\ \ (B\ text(defeated)\ O)`
`w = 0\ \ (O\ text(defeated)\ G)`
`x = 1\ \ (P\ text(defeated)\ O)`
`=> C`
In the graph below, the vertices represent electricity transformer substations.
The numbers on the edges of the graph show the length, in kilometres, of cables that connect these substations.
What is the minimum length of cable, in kilometres, that is necessary to make sure that each substation remains connected to the network?
`B`
`E`
`text(Consider each option):`
`text(Capacity of:)`
`text(Cut)\ A` | `= 5 + 2 + 7 + 10 + 7 = 31` |
`text(Cut)\ B` | `= 5 + 2 + 7 + 7 = 21` |
`text(Cut)\ C` | `= 5 + 2 + 10 = 17` |
`text(Cut)\ D` | `= 5 + 2 + 7 = 14` |
`text(Cut)\ E` | `= 5 + 7 + 7 = 19` |
`=> E`