Suppose `a=b/7`, where `b=22.`
What is the value of `a`, correct to three significant figures?
- 3.14
- 3.15
- 3.142
- 3.143
Aussie Maths & Science Teachers: Save your time with SmarterEd
Suppose `a=b/7`, where `b=22.`
What is the value of `a`, correct to three significant figures?
`A`
`a=b/7=22/7=3.1428…`
`3.1428 = 3.14\ text{(to 3 sig fig)}`
`=> A`
Ariana owns 1500 shares in a company. The market price for each share is $27. Ariana's total dividend from these shares is $810.
Calculate the dividend yield for her shares. (2 marks)
`2text(%)`
| `text(Dividend yield)` | `= text(Dividend)/text(Value of shares)` | |
| `= 810/(1500 xx 27)` | ||
| `=0.02` | ||
| `= 2 text(% yield)` |
Solve `x+(x-1)/2 = 9` (2 marks)
`19/3`
| `x+(x-1)/2` | `=9` | |
| `2x + x-1` | `=18` | |
| `3x` | `=19` | |
| `x` | `=19/3` |
The price and the power consumption of two different brands of television are shown.

The average cost for electricity is 25c/kWh. A particular family watches an average of 3 hours of television per day.
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| a. | `text{Annual power usage (B)}` | `= 160 xx 3 xx 365` |
| `=175\ 200` | ||
| `=175.2\ text(kWh)` |
| `text{Annual cost (B)}` | `= 175.2 xx 0.25` | |
| `=$43.80` |
| `text{Difference in cost}` | `= 48.18 – 43.80` | |
| `=$4.38` |
| b. | `text{Difference in price}` | `= 921.90 – 900` |
| `=$21.90` |
| `text(Years to even out cost)` | `=21.90/4.38` | |
| `=5\ text{years}` |
Nina plans to invest $35 000 for 1 year. She is offered two different investment options.
Option A: Interest is paid at 6% per annum compounded monthly.
Option B: Interest is paid at `r` % per annum simple interest.
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| a. | `r` | `= text(6%)/12= text(0.5%) = 0.005\ text(per month)` |
| `n` | `=12` |
| `FV` | `= PV(1 + r)^n` |
| `= 35\ 000(1 + 0.005)^(12)` | |
| `= $37\ 158.72` |
| b. | `I` | `=Prn` |
| `2158.72` | `=35\ 000 xx r xx 1` | |
| `r` | `=2158.72/(35\ 000)` | |
| `=0.06167…` | ||
| `=6.17 text{% (to 2 d.p.)}` |
The time taken to clean a warehouse varies inversely with the number of cleaners employed.
It takes 8 cleaners 60 hours to clean a warehouse.
Working at the same rate, how many hours would it take 10 cleaners to clean the same warehouse.
`B`
`text{Time to clean}\ (T) prop 1/text{Number of cleaners (C)}`
`T=k/C`
`text(When)\ \ T=60, C=8`
| `60` | `=k/8` |
| `k` | `=480` |
`text{Find}\ \ T\ \ text(when)\ \ C=10:`
| `T` | `=480/10` |
| `=48\ text(hours)` |
`=> B`
A popular video game attracts 3 subscribers in its first week.
It then attracts twice as many subscribers each week as it did the previous week.
If no subscribers leave, the total number of subscribers at the end of any week is
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always odd. |
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always even. |
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sometimes odd and sometimes even. |
`text(always odd.)`
`text{Week 1 total = 3 (odd)}`
`text{Week 2 total = 3 + 6 = 9 (odd)}`
`text{Week 3 total = 9 + 18 = 27 (odd)}`
`text(Each total = odd + even = odd)`
`:.\ text(Total subscribers will always be odd.)`
Tim set off for a walk at 6:25 in the morning and got back home at 3:45 in the afternoon.
How many hours did Tim walk for?
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`text(20 minutes)` |
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`text(7 hour 20 minutes)` |
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`text(7 hours 40 minutes)` |
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`text(9 hours 20 minutes)` |
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`text(10 hours 40 minutes)` |
`text(9 hours 20 minutes)`
`text(6:25 am to 3:25 pm = 9 hours)`
`text(3:25 pm to 3:45 pm = 20 minutes)`
`:.\ text(9 hours and 20 minutes)`
Eduardo is measuring the length of a pool cues at a manufacturing plant.
He measures one at 1 metre and 58 centimetres.
Which of these shows how Eduardo would write this measurement in metres?
| `1.058\ text(m)` | `10.58\ text(m)` | `1.58\ text(m)` | `15.8\ text(m)` |
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`1.58\ text(m)`
`text(1 metre = 100 centimetres)`
`text(1 metre and 58 centimetres)`
`= 1.58\ text(m)`
Bryce owns a parking facility in the desert for out-of-service planes.
He keeps 6 planes on every hectare of the facility.
How many hectares would he need for 12 planes?
| `0.5` | `2` | `6` | `72` |
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`2`
`text(6 planes per hectare)`
| `:.\ text(Hectares for 12 planes)` | `=12/6` |
| `=2\ text(hectares)` |
| `135.6 + 23.7 =` |
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| `111.9` | `158.1` | `159.3` | `168.1` | `169.3` |
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`159.3`
`135.6 + 23.7 = 159.3`
Jet created a new world record by running 5982 kilometres in a month.
Randall ran 4976 kilometres in the same time.
How many more kilometres did Jet run than Randall?
| `10\ 961` | `1016` | `1004` | `1006` |
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`1006`
`5982 – 4976 = 1006`
There are 8 balls, numbered from 1 to 8, in a basket.
Five balls are taken out of the basket, one at a time, and not replaced.
The first two balls taken out are numbered 4 and 6.
Which of the following cannot happen?
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The next ball chosen is 5. |
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The next 2 balls chosen are odd. |
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The fifth ball chosen is 1. |
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The next 3 balls chosen are even. |
`text(The next 3 balls chosen are even.)`
`text(Once number 4 and 6 are drawn, only 2 even numbers)`
`text{are left (no replacement).}`
`:.\ text(The next 3 balls chosen are even cannot happen.)`
Seigfried and Roy play a board game with a spinner.
Roy spins the arrow.
On which number is the arrow least likely to stop?
| `1` | `2` | `3` | `4` |
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`4`
`text(S)text(ince all sectors are the same size, and)`
`text(there is only one number 4.)`
`→\ text(Least likely to land on 4.)`
Felicity arrived at her favourite cafe at 11:05 am.
She had 2 cups of coffee, read the paper and left at 12:13 pm.
How long was Felicity at the cafe for?
| `text(52 minutes)` | `text(68 minutes)` | `text(108 minutes)` | `text(128 minutes)` |
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`text(68 minutes)`
`text(One Strategy:)`
`text(11:05 pm to 12:00 pm = 55 minutes)`
`text(12:00 pm to 12:13 pm = 13 minutes)`
`text(Meeting time = 55 + 13 = 68 minutes)`
Lionel is estimating the amount of diesel fuel he needs to fill up his truck.
Which of these units of measurement would be the most helpful?
| cubic centimetres | kilograms | millilitres | centimetres | litres |
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`text(litres)`
`text(Fuel is a liquid and litres is the most helpful unit to use.)`
Which of these units is the best to measure the mass of a spoon?
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`text(kilograms)` |
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`text(millilitres)` |
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`text(centimetres)` |
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`text(grams)` |
`text(grams)`
`text(Kilograms and grams are both a measurement of mass, although)`
`text(grams is the best unit for the weight of a spoon.)`
65, 58, 51, …?
What is the next number in this counting pattern?
| `44` | `45` | `47` | `48` |
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`44`
`65 – 7 = 58`
`58 – 7 = 51`
`=>\ text(Each number is 7 less than the one before.)`
| `text(Next number)` | `= 51 – 7` |
| `= 44` |
Nathan bought kicking tee for $4.45 using coins in his pocket.
After paying, he counted $2.85 left in coins.
How much money in coins did Nathan have to start with?
| $ |
`$7.30`
`text(One strategy:)`
| `$4.45 + $2.85` | `=6.45 + 0.85 ` | |
| `=6.45 + 0.55 + 0.30` | ||
| `=$7.30` |
Jimmy has this much money.
He buys a drink for $1.55.
How much money does Jimmy have left?
| `text(45 cents)` | `text(55 cents)` | `text(60 cents)` | `text(65 cents)` |
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`text(55 cents)`
`text(Money Jimmy has at the start)`
`=$1+50¢+20¢+20¢+10¢+10¢`
`=$2.10`
`text(Money left after buying a drink)`
`=$2.10 – $1.55`
`=55\ text(cents)`
There are 54 maths students at an award presentation.
Mr Habib lines them up so there are 6 students in each row.
How many rows are there?
`9`
| `text(Number of rows)` | `= 54 -: 6` |
| `= 9` |
Lena's orchard had 84 apples to sell at the farm gate.
She packed them in bags of 15 apples for sale.
He had 12 apples left over.
How many bags did Lena pack?
| `4` | `5` | `11` | `66` |
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`5`
`84 ÷ 15 = 5\ text(remainder 9)`
`:. \ text(Lena packed 5 bags.)`
A table tennis club has 13 more boys than girls.
Miranda knows there are 28 boys.
How can Miranda work out the number of girls in the table tennis club?
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add 13 to 14 |
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subtract 13 from 28 |
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add 13 to 28 |
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multiply 13 by 28 |
`text(subtract 13 from 28)`
`text(The number of girls can be calculated by subtracting)`
`text(the “extra” boys from the total number of boys.)`
`:.\ text(subtract 13 from 28)`
How many even numbers are between 7 and 19?
| `6` | `7` | `8` | `14` |
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`6`
`text(Listing the even number between 7 and 19:)`
`8,10,12,14,16,18`
`:.\ text(There are 6 even numbers.)`
Which of these pairs of numbers has a difference of 18?
| `18 and 81` | `25 and 33` | `16 and 34` | `12 and 40` |
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`16 and 34`
`34 – 16 = 18`
`:. 16 and 34`
Training program 1 has the cricket team starting from exercise station `S` and running to exercise station `O`.
For safety reasons, the cricket coach has placed a restriction on the maximum number of people who can use the tracks in the fitness park.
The directed graph below shows the capacity of the tracks, in number of people per minute.
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A local fitness park has 10 exercise stations: `M` to `V`.
The edges on the graph below represent the tracks between the exercise stations.
The number on each edge represents the length, in kilometres, of each track.
The Sunny Coast cricket coach designs three different training programs, all starting at exercise station `S`.
| Training program number |
Training details | |
| 1 | The team must run to exercise station `O`. | |
| 2 | The team must run along all tracks just once. | |
| 3 | The team must visit each exercise station and return to exercise station `S`. |
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Complete the following sentence by filling in the boxes provided. (1 mark)
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| This track is between exercise station |
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and exercise station |
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| a. | `text(Shortest distance)` | `= STUVO` |
| `= 0.6 + 1.2 + 0.6 + 0.8` | ||
| `= 3.2\ text(km)` |
b.i. `text(Eulerian trail)`
b.ii. `text(Station)\ P\ text{(only other vertex with}\ S\ text{to have odd degree)} `
c. `S and T`
A second market research project also suggested that if the Westmall shopping centre were sold, each of the three centres (Westmall, Grandmall and Eastmall) would continue to have regular shoppers but would attract and lose shoppers on a weekly basis.
Let `R_n` be the state matrix that shows the expected number of shoppers at each of the three centres `n` weeks after Westmall is sold.
A matrix recurrence relation that generates values of `R_n` is
`R_(n+1) = TR_n + B`
`{:(quad qquad qquad qquad qquad qquad qquad qquad text(this week)),(qquad qquad qquad qquad qquad qquad quad \ W qquad quad G qquad quad \ E),(text(where)\ T = [(quad 0.78, 0.13, 0.10),(quad 0.12, 0.82, 0.10),(quad 0.10, 0.05, 0.80)]{:(W),(G),(E):}\ text(next week,) qquad qquad B = [(-400), (700), (500)]{:(W),(G),(E):}):}`
The matrix `R_2` is the state matrix that shows the expected number of shoppers at each of the three centres in the second week after Westmall is sold
`R_2 = [(239\ 060), (250\ 840), (192\ 900)]{:(W),(G),(E):}`
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| a. | `R_3` | `= TR_2 + B` |
| `= [(0.78, 0.13, 0.1),(0.12, 0.82, 0.1),(0.10, 0.05, 0.8)][(239\ 060),(250\ 840),(192\ 900)]+[(-400),(700),(500)] = [(237\ 966),(254\ 366),(191\ 268)]` |
`:. text(Expected Westmall shoppers) = 237\ 966`
| b. | `R_2` | `= TR_1 + B` |
| `R_1` | `= T^(-1)[R_2-B]` | |
| `= [(241\ 000), (246\ 000), (195\ 000)]` |
`:. text(Expected Westmall shoppers) = 241\ 000`
An offer to buy the Westmall shopping centre was made by a competitor.
One market research project suggested that if the Westmall shopping centre were sold, each of the three centres (Westmall, Grandmall and Eastmall) would continue to have regular shoppers but would attract and lose shoppers on a weekly basis.
Let `S_n` be the state matrix that shows the expected number of shoppers at each of the three centres `n` weeks after Westmall is sold.
A matrix recurrence relation that generates values of `S_n` is
`S_(n+1) = T xx S_n`
`{:(quad qquad qquad qquad qquad qquad qquad qquad text(this week)),(qquad qquad qquad qquad qquad qquad quad \ W qquad quad G qquad quad \ E),(text(where)\ T = [(quad 0.80, 0.09, 0.10),(quad 0.12, 0.79, 0.10),(quad 0.08, 0.12, 0.80)]{:(W),(G),(E):}\ text(next week,) qquad qquad S_0 = [(250\ 000), (230\ 000), (200\ 000)]{:(W),(G),(E):}):}`
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Using values from the recurrence relation above, the graph below shows the expected number of shoppers at Westmall, Grandmall and Eastmall for each of the 10 weeks after Westmall is sold.
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| a. | `S_1` | `= TS_0` |
| `= [(0.80, 0.09, 0.10),(0.12, 0.79, 0.10),(0.08, 0.12, 0.80)][(250\ 000),(230\ 000),(200\ 000)]=[(240\ 700),(231\ 700),(207\ 600)]` |
| b. | `text(Using the graph)` | |
| `text(Difference)` | `= 250\ 000-220\ 000` | |
| `= 30\ 000` | ||
c. `text(Testing options:)`
`S_6 = T^6S_0 = [(0.80, 0.09, 0.10),(0.12, 0.79, 0.10),(0.08, 0.12, 0.80)]^6[(250\ 000),(230\ 000),(200\ 000)] = [(text(__)), (233\ 708), (text(__))]`
`:.\ text(Maximum shoppers in Grandmall expected in week 6.)`
d. `text(Test with high integer)\ n:`
`S_50 = T^50S_0 -> text(Westmall) = 218\ 884`
The preferred number of cafes `(x)` and sandwich bars `(y)` in Grandmall’s food court can be determined by solving the following equations written in matrix form.
`[(5, -9),(4, -7)][(x),(y)]=[(7), (6)]`
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`[(text( __), 9),(text( __), text( __)\ )]`
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`text(the matrix has an inverse)`
a. `text(S) text(ince determinant) = 1 != 0,`
`->\ text(the matrix has an inverse)`
b. `[(-7, 9),(-4, 5)]`
| c. | `[(x), (y)] = [(-7, 9), (-4, 5)][(7), (6)] = [(7),(2)]` |
`:.\ text(Preferred number of sandwich bars) = 2`
The three major shopping centres in a large city, Eastmall `(E)`, Grandmall `(G)` and Westmall `(W)`, are owned by the same company.
The total number of shoppers at each of the centres at 1.00 pm on a typical day is shown in matrix `V`.
`qquad qquad qquad {:(qquad qquad qquad \ E qquad qquad G qquad qquad \ W),(V = [(2300,2700,2200)]):}`
Each of these centres has three major shopping areas: food `(F)`, clothing `(C)` and merchandise `(M)`.
The proportion of shoppers in each of these three areas at 1.00 pm on a typical day is the same at all three centres and is given in matrix `P` below
`qquad qquad qquad P = [(0.48), (0.27), (0.25)] {:(F),(C),(M):}
If this were to happen, how many shoppers, in total, would be at Grandmall at this time? (1 mark)
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The average daily amount spent, in dollars, by each shopper in each of the three areas at Grandmall in 2019 is shown in matrix `A_2019` below.
`qquad qquad A_2019 = [(21.30), (34.00), (14.70)] {:(F),(C),(M):}`
On one particular day, 135 shoppers spent the average daily amount on food, 143 shoppers spent the average daily amount on clothing and 131 shoppers spent the average daily amount on merchandise.
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| Area | food | clothing | merchandise |
| Expected change | increase by 5% | decrease by 15% | decrease by 1% |
The average daily amount, in dollars, expected to be spent in each area in 2020 can be determined by forming the matrix product
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a. `1 xx 3`
| b. | `0.25 xx G\ text(shoppers in)\ M` | `= 700` |
| `:. G\ text(shoppers in)\ M` | `= 700/0.25` | |
| `= 2800` |
| c.i. | `{:(quad qquad qquad qquad \ E qquad qquad G qquad qquad W), (Q = [(1104, 1296, 1056 ), (621, 729, 594), (575, 675, 550)]{:(F),(C), (M):}):}` |
| c.ii. | `q_23\ text(represents the number of people)` |
| `text(in the clothing area of Westmall.)` |
d. `text(Total spent) = [(135, 143, 131)] [(21.30), (34.00), (14.70)] = [9663.20]`
| e. | `A_2020` | `= K xx [(21.30), (34.00), (14.70)]` |
| `:. K` | `= [(1.05, 0, 0),(0, 0.85, 0),(0, 0, 0.99)]` |
Training program 1 has the cricket team starting from exercise station `S` and running to exercise station `O`.
For safety reasons, the cricket coach has placed a restriction on the maximum number of people who can use the tracks in the fitness park.
The directed graph below shows the capacity of the tracks, in number of people per minute.
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When considering the possible flow of people through this network, many different cuts can be made.
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Samuel took out a new reducing balance loan.
The interest rate for this loan was 4.1% per annum, compounding monthly.
The balance of the loan after four years of monthly repayments was $329 587.25
The balance of the loan after seven years of monthly repayments was $280 875.15
Samuel will continue to make the same monthly repayment.
To ensure the loan is fully repaid, to the nearest cent, the required final repayment will be lower.
In the first seven years, Samuel made 84 monthly repayments.
From this point on, how many more monthly repayments will Samuel make to fully repay the loan? (2 marks)
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`text(150 more monthly payments.)`
`text(Find monthly payment)`
`text(By TVM Solver:)`
| `N` | `= 36` |
| `I(%)` | `= 4.1` |
| `PV` | `= 329\ 587.25` |
| `PMT` | `= ?` |
| `FV` | `= -280\ 875.15` |
| `text(PY)` | `= text(CY) = 12` |
`=> PMT = -2400.00`
`text(Find)\ N\ text(when)\ FV = 0`
`text(By TVM Solver:)`
| `N` | `= ?` |
| `I(%)` | `= 4.1` |
| `PV` | `= 280\ 875.15` |
| `PMT` | `= -2400` |
| `FV` | `= 0` |
| `text(PY)` | `= text(CY) = 12` |
`=> N = 149.67…`
`:.\ text(After 7 years, 150 more monthly payments are required.)`
Samuel now invests $500 000 in an annuity from which he receives a regular monthly payment.
The balance of the annuity, in dollars, after `n` months, `A_n` , can be modelled by a recurrence relation of the form
`A_0 = 500\ 000, qquad A_(n+1) = kA_n - 2000`
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| a. | `A_1 = 1.0024 xx 500\ 000-2000 = $499\ 200` |
| `A_2 = 1.0024 xx 499\ 200-2000 = $498\ 398.08` |
| b. | `text(Monthly interest rate)` | `= (1.0024-1) xx 100 = 0.24text(%)` |
| `text(Annual interest rate)` | `= 12 xx 0.24 = 2.88text(%)` |
| c. | `text(Perpetuity would occur when)` | |
| `k xx 500\ 000-2000` | `= 500\ 000` | |
| `k` | `= (502\ 000)/(500\ 000)` | |
| `= 1.004` | ||
Samuel opens a savings account.
Let `B_n` be the balance of this savings account, in dollars, `n` months after it was opened.
The month-to-month value of `B_n` can be determined using the recurrence relation shown below.
`B_0 = 5000, qquad B_(n+1) = 1.003B_n`
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If Samuel had deposited an additional $50 at the end of each month immediately after the interest was added, how much extra money would be in the savings account after one year?
Round your answer to the nearest dollar. (1 mark)
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| a. | `B_1` | `= 1.003 (5000)` |
| `B_2` | `= 1.003^2 (5000)` |
`vdots`
| `:. B_4` | `= 1.003^4 (5000)` |
| `= $5060.27` |
b. `text(Monthly interest rate)`
`= (1.003-1) xx 100`
`= 0.3%`
c. `text(Extra)\ =\ text(value of annuity after 12 months)`
`text(By TVM solver:)`
| `N` | `= 12` |
| `I(%)` | `= 3.6` |
| `PV` | `= 0` |
| `PMT` | `= 50` |
| `FV` | `= ?` |
| `text(PY)` | `= text(CY) = 12` |
`FV = 609.84`
`:.\ text(Extra money) = $610`
Samuel has a reducing balance loan. The first five lines of the amortisation table for Samuel’s loan are shown below. Interest is calculated monthly and Samuel makes monthly payments of $1600. Interest is charged on this loan at the rate of 3.6% per annum. --- 3 WORK AREA LINES (style=lined) --- --- 4 WORK AREA LINES (style=lined) --- --- 3 WORK AREA LINES (style=lined) ---
`= 318\ 074.23-1600 + 954.22` `= $317\ 428.45`
a.i.
`text(Principal reduction)`
`=\ text(Payment – interest)`
`= 1600-956.15`
`= $643.85`
a.ii.
`text(Interest)`
`= 318\ 074.23 xx (0.036/12)`
`= $954.22`
`:.\ text(Balance after payment 4)`
b.
`S_0 = 320\ 000,\ S_(n+1)`
`= S_n(1 + 0.036/12)-1600`
`S_(n+1)`
`= 1.003 S_n-1600`
The table below shows the mean age, in years, and the mean height, in centimetres, of 648 women from seven different age groups.
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A scatterplot displaying this data shows an association between the mean height and the mean age of these women. In an initial analysis of the data, a line is fitted to the data by eye, as shown.
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Using these two points, determine the equation of this line. Write the values of the intercept and the slope in the appropriate boxes below.
Round your answers to three significant figures. (1 mark)
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| mean height = |
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+ |
|
× mean age |
The associated residual plot that was generated is shown below.
The residual plot indicates that the association between the mean height and the mean age of women is non-linear.
The data presented in the table in part a is repeated below. It can be linearised by applying an appropriate transformation to the variable mean age.
Apply an appropriate transformation to the variable mean age to linearise the data. Fit a least squares line to the transformed data and write its equation below.
Round the values of the intercept and the slope to four significant figures. (2 marks)
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| a. | `text(Difference)` | `= 167.1 – 156.7` |
| `= 10.4\ text(cm)` |
b. `text(Strong and negative.)`
c. `text(Slope) = (157 – 168)/(85 – 20) = -0.169`
`text(Equation of line)`
| `y – 168` | `= -0.1692 (x – 20)` |
| `y` | `= -0.169x + 171` |
`:.\ text(mean height) = 171 – 0.169 xx text(mean age)`
D. `text(By CAS)`
`text(mean height) = 167.9 – 0.001621 xx text{(mean age)}^2`
The scatterplot below shows body density, in kilograms per litre, plotted against waist measurement, in centimetres, for 250 men.
When a least squares line is fitted to the scatterplot, the equation of this line is
body density = 1.195 – 0.001512 × waist measurement
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Does this residual plot support the assumption of linearity that was made when fitting this line to this data? Briefly explain your answer. (1 mark)
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a. `text(LSRL passes through)\ (60, 1.1043) and (130, 0.998)`
| b. | `text(body density)` | `= 1.195-0.001512 xx 65` |
| `= 1.09672` | ||
| `= 1.10\ text{kg/litre (to 2 d.p.)}` |
| c. | `text(A waist of 65 cm is outside the)` |
| `text(range of the existing data set.)` |
`:.\ text(Extrapolating)`
| d. | `text(Body density decreases by 0.001512 kg/litre)` |
| `text(for each increase in waist size of 1 cm.)` |
e. `text{Body density (predicted)}`
`= 1.195-0.001512 xx 122`
`~~ 1.0105\ text(kg/litre)`
| `text(Residual)` | `= text(Actual-predicted)` |
| `~~ 0.995-1.0105` | |
| `~~ -0.0155` | |
| `~~ -0.02\ text{(to 2 d.p.)}` |
| f. | `r` | `= -sqrt(0.6783)` |
| `=-0.8235…` | ||
| `= -0.824\ text{(to 3 d.p.)}` |
g. `text(The residual plot has no pattern and is centred around zero.)`
`:.\ text(It supports the assumption of linearity of the LSRL.)`
The age, in years, body density, in kilograms per litre, and weight, in kilograms, of a sample of 12 men aged 23 to 25 years are shown in the table below.
| Age (years) |
Body density |
Weight |
|
| 23 | 1.07 | 70.1 | |
| 23 | 1.07 | 90.4 | |
| 23 | 1.08 | 73.2 | |
| 23 | 1.08 | 85.0 | |
| 24 | 1.03 | 84.3 | |
| 24 | 1.05 | 95.6 | |
| 24 | 1.07 | 71.7 | |
| 24 | 1.06 | 95.0 | |
| 25 | 1.07 | 80.2 | |
| 25 | 1.09 | 87.4 | |
| 25 | 1.02 | 94.9 | |
| 25 | 1.09 | 65.3 |
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| a.i. | `n = 12` | |
| `text(Median)` | `= (text{6th + 7th})/2` | |
| `= (24 + 24)/2` | ||
| `= 24` |
| a.ii. | `text(Mean)` | `= (∑\ text{body density})/12` |
| `= 1.065\ text(kg/litre)` |
b.i. `text(Weight)`
b.ii. `text(Slope) = -0.00112\ text{(by CAS)}`
| c. | `r` | `= -0.53847\ text{(by CAS)}` |
| `r^2` | `= 0.289…` |
`:. 29 text(%)`
In a study of the association between BMI and neck size, 250 men were grouped by neck size (below average, average and above average) and their BMI recorded.
Five-number summaries describing the distribution of BMI for each group are displayed in the table below along with the group size.
The associated boxplots are shown below the table.
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| a. | `text(Percentage)` | `= 50/250 xx 100` |
| `= 20text(%)` |
| b. | `text(IQR)` | `= 26.0-23.4` |
| `= 2.6` |
c. `text{Outliers in average neck size}\ (text(BMI) >= 30) = 4`
`:.\ text(Number classified as obese)`
`= 4 + 1/4 xx 76`
`= 23`
d. `text(The boxplots support a strong association between)`
`text(BMI and neck size as median BMI values increase)`
`text(as neck size increases.)`
`text(Below average neck sizes have a BMI of 21.6, which)`
`text(increases to 24.6 for average neck sizes and increases)`
`text(further to 28.1 for above average neck sizes.)`
The neck size, in centimetres, of 250 men was recorded and displayed in the dot plot below.
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a. `text(Mode) = 38\ text(cm)`
b.i. `1`
b.ii. `1`
c. `text(See Worked Solutions)`
a. `text(Mode) = 38\ text(cm)`
| b.i. | `text(Expected number of men)` | `= (1-0.997) xx 250` |
| `= 0.75` | ||
| `= 1\ text{(nearest whole)}` |
| b.ii. | `text(When)\ \ z = +- 3` | |
| `text(Neck size limits)` | `= 38 +- (2.3 xx 3)` | |
| `= 44.9 or 31.1` | ||
`:.\ text(1 man has neck size outside 3 s.d.)`
c. `IQR = 39-36=3`
`text(Upper fence)\ =Q_3 + 1.5 xx 3=39 + 4.5=43.5`
`text(Lower fence)\ =Q_1-1.5 xx 3=36-4.5=31.5`
Karl picked 102 apples from his family orchard and packed them into small boxes.
Each box can hold 12 apples.
What is the smallest number of boxes Karl needs to make sure all the apples are packed?
`text(9)`
| `text(Boxes needed)` | `= 102 ÷ 12` |
| `= 8\ text(remainder 6)` | |
| `= 9\ text{boxes (round up)}` |
George has 84 toys in his collection.
He wanted to pack them into containers which can hold 5 toys each.
What is the smallest number of containers George needs to make sure all the toys are packed away?
`text(17)`
| `text(Containers needed)` | `= 84 ÷ 5` |
| `= 16\ text(remainder 4)` | |
| `~~ 17\ text{boxes (round up)}` |
At the start of an experiment, Stephanie has 215 millilitres of chemical solution in a flask.
Stephanie then used some of the solution in the experiment.
The image below shows the volume of the chemical solution left in the flask.
How much of the solution was used?
|
|
15 millilitres |
|
|
100 millilitres |
|
|
115 millilitres |
|
|
150 millilitres |
`115\ text(ml)`
| `text(Volume used)` | `= 215 – 100` |
| `= 115\ text(millilitres)` |
Rosa started with 227 millilitres of chemical solution in a flask.
She then poured some of the chemical solution into a test tube.
The level of chemical solution left in the flask is shown in the image below.
How much solution did Rosa pour into the test tube?
|
|
27 millilitres |
|
|
40 millilitres |
|
|
47 millilitres |
|
|
220 millilitres |
`text(27 millimetres)`
| `text(Volume)` | `= 227 – 200` |
| `= 27\ text(millilitres)` |
Jackson has 97 blocks.
He builds identical shapes that take 14 blocks each.
He had 13 blocks left.
How many shapes did Jackson made
|
|
5 |
|
|
6 |
|
|
7 |
|
|
9 |
`6`
`97 \div 14 = 6 \ text{remainder} \ 13`
`therefore \ text{Jackson made 6 shapes.}`
Owen has 84 lego pieces.
He built identical shapes that each used 11 lego pieces.
He had over 7 lego pieces left.
How many shapes did Owen made
|
|
10 |
|
|
12 |
|
|
8 |
|
|
7 |
`7`
`84 \div 11 = 7 \ text{remainder} \ 7`
`therefore \ text{Owen made 7 shapes.}`
The picture below is a shape made with 7 equilateral triangles.
What is its perimeter?
|
|
16 cm |
|
|
18 cm |
|
|
19 cm |
|
|
20 cm |
`text{18 cm}`
`text(Equilateral triangle → all sides are equal.)`
| `text{Perimeter}` | `= text{Number of sides} xx 2 \ text{cm}` |
| `= 9 xx 2` | |
| `= 18 \ text{cm}` |
8 of the tallest buildings in the United States are listed in the table below.
How much taller is New York’s 2nd tallest building than Chicago’s shortest building on this list?
|
|
98 m |
|
|
83 m |
|
|
197 m |
|
|
37 m |
`text{83 m}`
`text{One Vanderbilt’s height – 875 North Michigan Avenue’s height}`
`= 427 – 344`
`= 83 \ text{m}`
7 of the world's longest rivers are listed in the table below.

How much shorter is China's longest river compared to Brazil's longest river?
|
|
460 km |
|
|
1296 km |
|
|
2410 km |
|
|
2512 km |
`text{460 km}`
`text{Amazon River – Yangtze}`
`= 6760 – 6300`
`= 460 \ text{km}`
Marie flips an unbiased coin for 126 times.
Which result is most likely?
|
|
38 heads |
|
|
52 heads |
|
|
60 heads |
|
|
79 tails |
`text{60 heads}`
`text{The expected result is 63 heads or tails (half of total).}`
`therefore \ text{Most likely result is 60 heads.}`
Marie rolls a fair die 60 times.
Which result is most likely?
|
|
5 rolls of number two |
|
|
7 rolls of number two |
|
|
9 rolls of number two |
|
|
13 rolls of number two |
`text{8 rolls of number two}`
`text{The expected result is 10 rolls for each number.}`
`therefore \ text{Most likely result is 9 rolls of number two.}`
Amelia is making a pattern using nails.

The table below shows the number of nails she needs for the pattern to be complete.
|
|
12 |
|
|
15 |
|
|
16 |
|
|
18 |
`15`
`text{Each new pattern adds the new pattern number to the previous total.}`
`text{Pattern # 5 is}`

`therefore \ text{Nails needed = 5 + 10 = 15}`
Amelia is making a pattern using flowers
The table below shows the number of flowers she needs for the pattern to be complete.
|
|
10 |
|
|
9 |
|
|
12 |
|
|
5 |
`10`