Sketch the graph of `y-2x = 3`, showing the intercepts on both axes. (2 marks)
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What is the slope of the line with equation `2x - 4y + 3 = 0`?
`C`
`2x – 4y + 3` | `= 0` |
`4y` | `= 2x + 3` |
`y` | `= 1/2 x + 3/4` |
`:.\ text(Slope)\ = 1/2`
`=> C`
What is the gradient of the line `2x + 3y + 4 = 0`?
`A`
`2x + 3y + 4` | `= 0` |
`3y` | `= -2x-4` |
`y` | `= -2/3 x-4/3` |
`:.\ text(Gradient)` | `= -2/3` |
`=> A`
The diagram shows a shape `APQBCD`. The shape consists of a rectangle `ABCD` with an arc `PQ` on side `AB` and with side lengths `BC` = 3.6 m and `CD` = 8.0 m.
The arc `PQ` is an arc of a circle with centre `O` and radius 2.1 m and `∠POQ=110°`.
What is the perimeter of the shape `APQBCD`? Give your answer correct to one decimal place. (4 marks)
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`23.8\ text{m}`
`text{Arc}\ PQ` | `=110/360 xx pi xx 2 xx 2.1` | |
`=4.03171… \ text{m}` |
`text{Consider}\ ΔOPQ:`
`sin 55^@` | `=x/2.1` | |
`x` | `=2.1 xx sin 55^@` | |
`=1.7202…` |
`PQ=2x=3.440\ text{m}`
`:.\ text{Perimeter}` | `=8+(2xx3.6)+4.031+(8-3.440)` | |
`=23.79…\ text{m}` | ||
`=23.8\ text{m (to 1 d.p.)}` |
The diagram shows a shape `APQBCD`. The shape consists of a rectangle `ABCD` with an arc `PQ` on side `AB` and with side lengths `BC` = 3.6 m and `CD` = 8.0 m.
The arc `PQ` is an arc of a circle with centre `O` and radius 2.1 m and `∠POQ=110°`.
What is the perimeter of the shape `APQBCD`? Give your answer correct to one decimal place. (4 marks)
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`23.8\ text{m}`
`text{Arc}\ PQ` | `=110/360 xx pi xx 2.1^2` | |
`=4.03171… \ text{m}` |
`text{Consider}\ ΔOPQ:`
`sin 55^@` | `=x/2.1` | |
`x` | `=2.1 xx sin 55^@` | |
`=1.7202…` |
`PQ=2x=3.440\ text{m}`
`:.\ text{Perimeter}` | `=8+(2xx3.6)+4.031+(8-3.440)` | |
`=23.79…` | ||
`=23.8\ text{m (to 1 d.p.)}` |
The number of bees leaving a hive was observed and recorded over 14 days at different times of the day.
Which Pearson's correlation coefficient best describes the observations?
`D`
`text{Correlation is positive and strong.}`
`text{Best option:}\ r=0.8`
`=>D`
A student believes that the time it takes for an ice cube to melt (`M` minutes) varies inversely with the room temperature `(T^@ text{C})`. The student observes that at a room temperature of `15^@text{C}` it takes 12 minutes for an ice cube to melt.
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\begin{array} {|c|c|c|c|}
\hline \ \ T\ \ & \ \ 5\ \ & \ 15\ & \ 30\ \\
\hline M & & & \\
\hline \end{array}
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a. `M=180/T`
b.
\begin{array} {|c|c|c|c|}
\hline \ \ T\ \ & \ \ 5\ \ & \ 15\ & \ 30\ \\
\hline M & 36 & 12 & 6 \\
\hline \end{array}
a. | `M` | `prop 1/T` |
`M` | `=k/T` | |
`12` | `=k/15` | |
`k` | `=15 xx 12` | |
`=180` |
`:.M=180/T`
b.
\begin{array} {|c|c|c|c|}
\hline \ \ T\ \ & \ \ 5\ \ & \ 15\ & \ 30\ \\
\hline M & 36 & 12 & 6 \\
\hline \end{array}
The life span of batteries from a particular factory is normally distributed with a mean of 840 hours and a standard deviation of 80 hours.
It is known from statistical tables that for this distribution approximately 60% of the batteries have a life span of less than 860 hours.
What is the approximate percentage of batteries with a life span between 820 and 920 hours? (3 marks)
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`44text{%}`
`mu=840, \ sigma=80`
`ztext{-score (860)}\ = (x-mu)/sigma=(860-840)/80=0.25`
`ztext{-score (820)}\ =(820-840)/80=-0.25`
`ztext{-score (920)}\ =(920-840)/80=1`
`text{50% of batteries have a life span below 840 hours (by definintion)}`
`=>\ text{10% lie between 840 and 860 hours}`
`=>\ text{By symmetry, 10% lie between 820 and 840 hours}`
`=> P(-0.25<=z<=0)=10text{%}`
`:.\ text{Percentage between 820 and 920}`
`=P(-0.25<=z<=1)`
`=P(-0.25<=z<=0) + P(0<=z<=1)`
`=10+34`
`=44text{%}`
Jo is researching the relationship between the ages of teenage characters in television series and the ages of actors playing these characters.
After collecting the data, Jo finds that the correlation coefficient is 0.4564.
A scatterplot showing the data is drawn. The line of best fit with equation `y=-7.51+1.85 x`, is also drawn.
Describe and interpret the data and other information provided, with reference to the context given. (4 marks)
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`text{Correlation coefficient}\ (r) = 0.4564`
`text{Gradient of LOBF}\ = 1.85`
`text{Mode of data set = 15 years}`
`text{Limitations}`
`text{Correlation coefficient}\ (r) = 0.4564`
`text{Gradient of LOBF}\ = 1.85`
`text{Mode of data set = 15 years}`
`text{Limitations}`
Eli is choosing between two investment options.
A table of future value interest factors for an annuity of $1 is shown.
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a. `text{Monthly r/i}\ = 1.2/12=0.1text{%}\ \ =>\ \ r= 0.001`
`text{Compounding periods}\ (n)=12xx10=120`
`FV` | `=PV(1+r)^n` | |
`=40\ 000(1+0.001)^120` | ||
`=$45\ 097.17` |
b. `text{Quarterly r/i}\ = 2.4/4=0.6text{%}\ \ =>\ \ r= 0.006`
`text{Compounding periods}\ (N) =4xx10=40`
`text{Annuity factor (from table) = 45.05630}`
`FV` | `=1000xx45.05630` | |
`=45\ 056.30` |
`text{Difference}` | `=45\ 097.17-45\ 056.30` | |
`=$40.87` |
Which of the following could be the graph of `y= -2 x+2`?
`A`
`text{By elimination:}`
`y text{-intercept = 2 → Eliminate}\ B and C`
`text{Gradient is negative → Eliminate}\ D`
`=>A`
The life span of batteries from a particular factory is normally distributed with a mean of 840 hours and a standard deviation of 80 hours.
It is known from statistical tables that for this distribution approximately 60% of the batteries have a life span of less than 860 hours.
What is the approximate percentage of batteries with a life span between 820 and 920 hours? (3 marks)
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`44text{%}`
`mu=840, \ sigma=80`
`ztext{-score (860)}\ = (x-mu)/sigma=(860-840)/80=0.25`
`ztext{-score (820)}\ =(820-840)/80=-0.25`
`ztext{-score (920)}\ =(920-840)/80=1`
`text{50% of batteries have a life span below 840 hours (by definition)}`
`=>\ text{10% lie between 840 and 860 hours}`
`=>\ text{By symmetry, 10% lie between 820 and 840 hours}`
`=> P(-0.25<=z<=0)=10text{%}`
`:.\ text{Percentage between 820 and 920}`
`=P(-0.25<=z<=1)`
`=P(-0.25<=z<=0) + P(0<=z<=1)`
`=10+34`
`=44text{%}`
Jo is researching the relationship between the ages of teenage characters in television series and the ages of actors playing these characters.
After collecting the data, Jo finds that the correlation coefficient is 0.4564.
A scatterplot showing the data is drawn. The line of best fit with equation `y=-7.51+1.85 x`, is also drawn.
Describe and interpret the data and other information provided, with reference to the context given. (4 marks)
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`text{Correlation coefficient}\ (r) = 0.4564`
`text{Gradient of LOBF}\ = 1.85`
`text{Mode of data set = 15 years}`
`text{Limitations}`
`text{Correlation coefficient}\ (r) = 0.4564`
`text{Gradient of LOBF}\ = 1.85`
`text{Mode of data set = 15 years}`
`text{Limitations}`
A teacher surveyed the students in her Year 8 class to investigate the relationship between the average number of hours of phone use per day and the average number of hours of sleep per day.
The results are shown on the scatterplot below.
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a.
b. `text{9 hours (see LOBF in diagram above)}`
Eli is choosing between two investment options.
A table of future value interest factors for an annuity of $1 is shown.
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a. `text{Monthly r/i}\ = 1.2/12=0.1text{%}\ \ =>\ \ r= 0.001`
`text{Compounding periods}\ (n)=12xx10=120`
`FV` | `=PV(1+r)^n` | |
`=40\ 000(1+0.001)^120` | ||
`=$45\ 097.17` |
b. `text{Quarterly r/i}\ = 2.4/4=0.6text{%}\ \ =>\ \ r= 0.006`
`text{Compounding periods}\ (N) =4xx10=40`
`text{Annuity factor (from table) = 45.05630}`
`FV` | `=1000xx45.05630` | |
`=45\ 056.30` |
`text{Difference}` | `=45\ 097.17-45\ 056.30` | |
`=$40.87` |
The table shows the future value of an annuity of $1.
Zal is saving for a trip and estimates he will need $15 000. He opens an account earning 3% per annum, compounded annually.
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a. `text{Using the table:}\ r=3text{%},\ \ n=4`
`text{Annuity factor}\ = 4.184`
`text{Let}\ \ A=\ text{amount invested each year}`
`FV` | `=A xx 4.184` | |
`15\ 000` | `=A xx 4.184` | |
`:.A` | `=(15\ 000)/4.184` | |
`=$3585.09` |
b. `text{Total payments}\ = 4 xx 3585.09=$14\ 340.36`
`text{Interest earned}` | `=FV-\ text{total payments}` | |
`=15\ 000-14\ 340.36` | ||
`=659.64` | ||
`=$660\ \ text{(nearest $)}` |
The table shows the types of customer complaints received by an online business in a month.
a. `A=98+62=160`
`text{% Damaged items}\ = 8/200 xx 100 = 4text{%}`
`text{Cumulative % after damaged items = 96%}`
`B = 92+4=96`
b. `text{The right hand side cumulative frequency percentage}`
`text{shows that 80% of all complaints received concern}`
`text{stock shortages and delivery fees.}`
`:.\ text{The manager will address stock shortages and delivery fees.}`
The marks in a test were normally distributed. The mean mark was 60 and the standard deviation was 15 .
What was the percentage of marks higher than 90? (2 marks)
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`2.5text{%}`
The cumulative frequency graph shows the distribution of the number of movie downloads made by 100 people in one month.
Which box-plot best represents the same data as displayed in the cumulative frequency graph?
`C`
For a particular course, the recorded data show a relationship between the number of hours of study per week and the marks achieved out of 100 .
A least-squares regression line is fitted to this dataset. The equation of this line is given by
`M=20+3 H,`
where `M` is the predicted mark and `H` is the number of hours of study per week.
Based on this regression equation, which of the following is correct regarding the predicted mark of a student?
`B`
`text{Consider Option}\ B:`
`text{If zero hours of study are done per week}\ \ → \ \ H=0`
`:. M=20+(3 xx 0) = 20`
`=>B`
In ten years, the future value of an investment will be $150 000. The interest rate is 4% per annum, compounded half-yearly.
Which equation will give the present value `(PV)` of the investment?
`D`
`text{Compounding periods}\ = 10 xx 2 = 20`
`text{Compounding rate}\ = (4text{%})/2 = 2text{%} = 0.02`
`PV=(150\ 000)/((1+0.02)^(20))`
`=>D`
Consider the following dataset.
`{:[13,16,17,17,21,24]:}`
Which row of the table shows how the median and mean are affected when a score of 5 is added to the dataset?
`D`
`text{Mean decreases.}`
`text{Median remains 17.}`
`=>D`
Which of the following could be the graph of `y= –2 x+2`?
`A`
`text{By elimination:}`
`y text{-intercept = 2 → Eliminate}\ B and C`
`text{Gradient is negative → Eliminate}\ D`
`=>A`
800 participants auditioned for a stage musical. Each participant was required to complete a series of ability tests for which they received an overall score.
The overall scores were approximately normally distributed with a mean score of 69.5 points and a standard deviation of 6.5 points.
Only the participants who scored at least 76.0 points in the audition were considered successful.
How many of the participants were considered unsuccessful? (2 marks)
`672`
`mu = 69.5 \ , \ sigma= 6.5`
`ztext{-score} \ (76) = {76 – 69.5}/6.5 = 1`
`:.\ text{Unsuccessful}` | `=84text(%) xx 800` |
`= 672` |
The stem plot below shows the height, in centimetres, of 20 players in a junior football team.
A player with a height of 179 cm is considered an outlier because 179 cm is greater than
`D`
`Q_1 = (148 + 148)/2 = 148`
`Q_3 = (158 + 160)/2 = 159`
`IQR = 159 – 148 = 11`
`text{Upper fence}` | `= Q_3 + 1.5 xx IQR` |
`= 159 + 1.5 xx 11` | |
`= 175.5` |
`=> D`
The stem plot below shows the height, in centimetres, of 20 players in a junior football team.
A player with a height of 179 cm is considered an outlier because 179 cm is greater than
`D`
`Q_1 = (148 + 148)/2 = 148`
`Q_3 = (158 + 160)/2 = 159`
`IQR = 159 – 148 = 11`
`text{Upper fence}` | `= Q_3 + 1.5 xx IQR` |
`= 159 + 1.5 xx 11` | |
`= 175.5` |
`=> D`
In a particular city, the heights of adult females and the heights of adult males are each normally distributed.
Information relating to two females from that city is given in Table 1.
The means and standard deviations of adult females and males, in centimetres, are given in Table 2.
A selected male is taller than 84% of the population of adult males in this city.
By first labelling the normal distribution curve below with the heights of the two females given in Table 1, calculate the height of the selected male, in centimetres, correct to two decimal places. (4 marks)
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`z text{-score (175 cm, female)} = 2`
`z text{-score (160.6 cm, female)} = -1`
`text{Find} \ mu \ text{of female heights:}`
`mu – sigma` | `= 160.6` | |
`mu + 2sigma` | `= 175` | |
`3 sigma` | `= 175 – 160.6` | |
`sigma` | `= 14.4/3` | |
`= 4.8 \ text{cm}` | ||
`:. \ mu` | `= 165.4 \ text{cm}` |
`text{Selected male’s height has} \ z text{-score} = 1`
`mu text{(male)} = 1.05 times 165.4 = 173.67`
`sigma \ text{(male)} = 1.1 times 4.8 = 5.28`
`:. \ text{Actual male height}` | `= 173.67 + 5.28` | |
`= 178.95 \ text{cm}` |
For a sample of 17 inland towns in Australia, the height above sea level, `x` (metres), and the average maximum daily temperature, `y` (°C), were recorded.
The graph shows the data as well as a regression line.
The equation of the regression line is `y = 29.2 − 0.011x`.
The correlation coefficient is `r = –0.494`.
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a.i. | `y` | `=29.2 – 0.011(540)` |
`=23.26` | ||
`=23.3°text{C (1 d.p.)` |
a.ii. `text(On average, the average maximum daily temperature of)`
`text(inland towns drops by 0.011 of a degree for every metre)`
`text(above sea level the town is situated.)`
b. `text(The correlation co-efficient of the regression line using)`
`text(latitude is significantly stronger than the equivalent)`
`text(co-efficient for the regression line using height above sea)`
`text(level.)`
`:.\ text(The equation using latitude is preferred.)`
For a sample of 17 inland towns in Australia, the height above sea level, `x` (metres), and the average maximum daily temperature, `y` (°C), were recorded.
The graph shows the data as well as a regression line.
The equation of the regression line is `y = 29.2 − 0.011x`.
The correlation coefficient is `r = –0.494`.
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a.i. | `y` | `=29.2 – 0.011(540)` |
`=23.26` | ||
`=23.3°text{C (1 d.p.)` |
a.ii. `text(On average, the average maximum daily temperature of)`
`text(inland towns drops by 0.011 of a degree for every metre)`
`text(above sea level the town is situated.)`
b. `text(The correlation co-efficient of the regression line using)`
`text(latitude is significantly stronger than the equivalent)`
`text(co-efficient for the regression line using height above sea)`
`text(level.)`
`:.\ text(The equation using latitude is preferred.)`
Present value interest factors for an annuity of $1 for various interest rates (`r`) and numbers of periods (`N`) are given in the table.
A bank lends Martina $500 000 to purchase a home, with interest charged at 1.5% per annum compounding monthly. She agrees to repay the loan by making equal monthly repayments over a 30-year period.
How much should the monthly payment be in order to pay off the loan in 30 years?
Give your answer correct to the nearest cent. (2 marks)
`$ 1725.60`
`text{Monthly interest rate}\ (r) = 1.5/12 = 0.125text(%) = 0.00125`
`N = 30 xx 12 = 360`
`=>\ text(PV annuity factor = 289.75411)`
`:.\ text{Monthly payment}` | `= (500\ 000)/289.75411` | |
`= $1725.60` |
The diagram shows a triangle `ABC` where `AC` = 25 cm, `BC` = 16 cm, `angle BAC` = 28° and angle `ABC` is obtuse.
Find the size of the obtuse angle `ABC` correct to the nearest degree. (3 marks)
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`133°`
`text(Using the sine rule:)`
`sin theta/25` | `= (sin 28°)/16` |
`sin theta` | `= (25 xx sin 28°)/16` |
`sin theta` | `= 0.73355` |
`theta` | `= 47°` |
`:. angleABC` | `= 180-47` |
`= 133°` |
A table of future value interest factors for an annuity of $1 is shown.
Simone deposits $1000 into a savings account at the end of each year for 8 years. The interest rate for these 8 years is 0.75% per annum, compounded annually.
After the 8th deposit, Simone stops making deposits but leaves the money in the savings account. The money in her savings account then earns interest at 1.25% per annum, compounded annually, for a further two years.
Find the amount of money in Simone's savings account at the end of ten years. (3 marks)
`$8419.81`
`text(In 1st 8 years:)`
`text(Future value factor = 8.2132)`
`text(Value of annuity)` | `= 8.2132 xx 1000` |
`= $8213.20` |
`text(Value of investment)` | `= 8213.2 xx (1.0125)^2` |
`= $$8419.81` |
A table of future value interest factors for an annuity of $1 is shown.
Simone deposits $1000 into a savings account at the end of each year for 8 years. The interest rate for these 8 years is 0.75% per annum, compounded annually.
After the 8th deposit, Simone stops making deposits but leaves the money in the savings account. The money in her savings account then earns interest at 1.25% per annum, compounded annually, for a further two years.
Find the amount of money in Simone's savings account at the end of ten years. (3 marks)
`$8419.81`
`text(In 1st 8 years:)`
`text(Future value factor = 8.2132)`
`text(Value of annuity)` | `= 8.2132 xx 1000` |
`= $8213.20` |
`text(Value of investment)` | `= 8213.2 xx (1.0125)^2` |
`= $8419.81` |
A random variable is normally distributed with mean 0 and standard deviation 1. The table gives the probability that this random variable lies between 0 and `z` for different values of `z`.
The probability values given in the table for different values of `z` are represented by the shaded area in the following diagram.
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a. `P(z>0)=0.5`
`P(0<z<0.3)=0.1179`
`P(z>0.3) = 0.5-0.1179=0.3821`
b. | `z text{-score (3471)}` | `=(x-mu)/sigma` |
`=(3471-3300)/570` | ||
`=0.3` |
`P(z>0.3) = 0.3821\ \ text{(see part (a))}`
`:.\ text(Number of babies > 3471 grams)` | |
`=1000 xx 0.3821` | |
`=382\ \ text{(nearest whole)}` |
The diagram shows a triangle `ABC` where `AC` = 25 cm, `BC` = 16 cm, `angle BAC` = 28° and angle `ABC` is obtuse.
Find the size of the obtuse angle `ABC` correct to the nearest degree. (3 marks)
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`133°`
`text(Using the sine rule:)`
`sin theta/25` | `= (sin 28°)/16` |
`sin theta` | `= (25 xx sin 28°)/16` |
`sin theta` | `= 0.73355` |
`theta` | `= 47°` |
`:. angleABC` | `= 180-47` |
`= 133°` |
A random variable is normally distributed with mean 0 and standard deviation 1. The table gives the probability that this random variable lies between 0 and `z` for different values of `z`.
The probability values given in the table for different values of `z` are represented by the shaded area in the following diagram.
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a. | `P(0.1 < x < 0.5)` | `= 0.1915 – 0.0398` |
`= 0.1517` |
b. `mu = 330, sigma = 570`
`ztext(-score)\ (3528)` | `= (x – mu)/sigma` |
`= (3528 – 3300)/570` | |
`= 0.4` |
`P(ztext(-score) > 0.4)` | `= 0.5 – 0.1554` |
`= 0.3446` |
`:.\ text(Expected babies > 3528 grams)`
`= 1000 xx 0.3446`
`= 344.6`
`~~ 345\ text(babies)`
A salesperson is interested in the relationship between the number of bottles of lemonade sold per day and the number of hours of sunshine on the day.
The diagram shows the dataset used in the investigation and the least-squares regression line.
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a. `text(Method 1)`
`text{Input data points (in Stats Mode “Ax + B”):}`
`(2,8), (3, 11), (5, 19), (6, 22), (9, 30)`
`=>\ y=3.2x + 2`
`text{Find gradient using (0, 2) and (5, 18)}:`
`m=(18-2)/(5-0) = 3.2,\ \ ytext(-intercept)\ = 2`
`:.\ text(Equation:)\ y=3.2x + 2`
b. `text(Method 1)`
`text{Add (10, 45) to the data set in Stats Mode above:}`
`text(Gradient increases to 4.1.)`
`text(Method 2)`
`text{Data point (10, 45) lies above the regression line.`
`:.\ text{Gradient would increase (steepen).}`
Julie invests $12 500 in a savings account. Interest is paid at a fixed monthly rate. At the end of each month, after the monthly interest is added, Julie makes a deposit of $500.
Julie has created a spreadsheet to show the activity in her savings account. The details for the first 6 months are shown.
By finding the monthly rate of interest, complete the final row above for the 7th month. (3 marks)
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`15\ 624.20, 23.44, 16\ 147.64`
`\text{Monthly interest rate} = \frac{18.75}{12\ 500} = 0.0015 =\ text{0.15%}`
`\text{Row 7 calculations:}`
`\text{Beginning balance}` | `= 15\ 624.20` |
`\text{Monthly interest}` | `= 15\ 624.20 \times 0.0015` |
`= 23.44` |
`\text{End of month balance}` | `= 15\ 624.20 + 23.44 + 500` |
`= 16\ 147.64` |
Solve `x+(x-1)/2 = 9`. (2 marks)
`19/3`
`x+(x-1)/2` | `=9` | |
`2x + x-1` | `=18` | |
`3x` | `=19` | |
`x` | `=19/3` |
There are 8 chocolates in a box. Three have peppermint centres (P) and five have caramel centres (C).
Kim randomly chooses a chocolate from the box and eats it. Sam then randomly chooses and eats one of the remaining chocolates.
A partially completed probability tree is shown.
What is the probability that Kim and Sam choose chocolates with different centres?
There are 8 chocolates in a box. Three have peppermint centres (P) and five have caramel centres (C).
Kim randomly chooses a chocolate from the box and eats it. Sam then randomly chooses and eats one of the remaining chocolates.
A partially completed probability tree is shown.
What is the probability that Kim and Sam choose chocolates with different centres?
`C`
`text{The gradient of the cumulative frequency histogram}`
`text{will increase gradually, be steepest at day 10 then}`
`text{decrease gradually.}`
`=> C`
`C`
`text{The gradient of the cumulative frequency histogram}`
`text{will increase gradually, be steepest at day 10 then}`
`text{decrease gradually.}`
`=> C`
Solve `x+(x-1)/2 = 9` (2 marks)
`19/3`
`x+(x-1)/2` | `=9` | |
`2x + x-1` | `=18` | |
`3x` | `=19` | |
`x` | `=19/3` |
On a test, Zac's mark corresponded to a `z`-score of 2. The test scores had a mean of 63 and a standard deviation of 8.
What was Zac's actual mark on the test?
`D`
`text{Method 1 (quicker)}`
`text(Actual mark)` | `= mu + 2 xx sigma` |
`= 63 + 2 xx 8` | |
`= 79` |
`text(Method 2)`
`ztext(-score)` | `= (x – mu)/sigma` |
`2` | `= (x-63)/8` |
`16` | `=x-63` |
`x` | `=79` |
`=>D`
Peter currently earns $21.50 per hour. His hourly wage will increase by 2.1% compounded each year for the next four years.
What will his hourly wage be after four years?
`B`
`text(Wage after 1 year) = 21.50 xx 1.021`
`text(Wage after 2 years) = 21.50 xx 1.021 xx 1.021 = 21.50(1.021)^2`
`vdots`
`text(Wage after 4 years) = 21.50(1.021)^4`
`=> B`
Wilma deposited a lump sum into a new bank account which earns 2% per annum compound interest.
Present value interest factors for an annuity of $1 for various interest rates (`r`) and numbers of periods (`N`) are given in the table.
Wilma was able to make the following withdrawals from this account.
Calculate the minimum lump sum Wilma must have deposited when she opened the new account. (3 marks)
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`$ 34 \ 486`
`text{Annuity 1:}\ PV\ text{of $1000 annuity for 20 years at} \ \ r = 0.02`
`PV\ text{factor} = 16.351`
`therefore \ PV\ text{Annuity 1}` | `= 16.351 xx 1000` |
`= $16 \ 351` |
`text{Annuity 2:}\ PV\ text{of $3000 annuity for years 21-30 at} \ \ r = 0.02`
`PV\ text{Annuity 2}` | `= PVtext{(30 years)} – PVtext{(20 years)}` |
`= 3000 xx 22.396 – 3000 xx 16.351` | |
`= $ 18 \ 135` |
`:.\ text{Lump sum required}` | `= 16 \ 351 + 18\ 135` |
`= $ 34 \ 486` |
The intelligence Quotient (IQ) scores for adults in City A are normally distributed with a mean of 108 and a standard deviation of 10.
The IQ score for adults in City B are normally distributed with a mean of 112 and a standard deviation of 16.
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a. `text{In City A:}`
`z text{-score}\ (128) = frac {x -mu}{sigma} = frac{128 – 108}{10} = 2`
`therefore\ text{2.5% have a higher IQ in City} \ A.`
b. `text{In City B:}`
`z text{-score}\ (128) = frac{128 – 112}{16} = 1`
`therefore \ text{Adults in City} \ B \ text{with an IQ}\ < 128`
`= 84text(%) xx 1 \ 000 \ 000`
`= 840 \ 000`
c. `z text{-score in City A}\ = z text{-score in City B}`
`frac{x – 108}{10} ` | `= frac{x -112}{16} \ \ text{(multiply b.s.} \ xx 160 text{)}` |
`16 (x – 108)` | `= 10 (x – 112)` |
`16 x – 1728` | `= 10 x – 1120` |
`6x` | `= 608` |
`x` | `= 101.3` |
`therefore \ text{Simon’s IQ} = 101.3 \ text{(to 1 d.p.)}`
A cricket is an insect. The male cricket produces a chirping sound.
A scientist wants to explore the relationship between the temperature in degrees Celsius and the number of cricket chirps heard in a 15-second time interval.
Once a day for 20 days, the scientist collects data. Based on the 20 data points, the scientist provides the information below.
The scientist fits a least-squares regression line using the data `(x, y)`, where `x` is the temperature in degrees Celsius and `y` is the number of chirps heard in a 15-second time interval. The equation of this line is
`y = −10.6063 + bx`,
where `b` is the slope of the regression line.
The least-squares regression line passes through the point `(barx, bary)`, where `barx` is the sample mean of the temperature data and `bary` is the sample mean of the chirp data.
Calculate the number of chirps expected in a 15-second interval when the temperature is 19° Celsius. Give your answer correct to the nearest whole number. (5 marks)
`29\ text(chirps)`
`y = −10.6063 + bx`
`text(Find)\ b:`
`text(Line passes through)\ \ (barx, bary)`
`barx` | `= 22 – 0.525` |
`= 21.475` |
`bary` | `= text(total chirps)/text(number of data points)` |
`= 684/20` | |
`= 34.2` |
`34.2` | `= −10.6063 + b(21.475)` |
`:.b` | `= 44.8063/21.475` |
`~~ 2.0864` |
`text(If)\ \ x = 19,`
`y` | `= −10.6063 + 2.0864 xx 19` |
`= 29.03` | |
`= 29\ text(chirps)` |
Consider the following dataset.
`1 5 9 10 15`
Suppose a new value, `x`, is added to this dataset, giving the following.
`1 5 9 10 15 x`
It is known that `x` is greater than 15. It is also known that the difference between the means of the two datasets is equal to ten times the difference between the medians of the two datasets.
Calculate the value of `x`. (4 marks)
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`38`
`text{Dataset 1 : Median} = 9`
`text{Dataset 2 : Median} = frac{9 + 10}{2} = 9.5`
`:.\ text{Difference between means}`
`= 10 xx (9.5 – 9)`
`= 5`
`overset_ x_1 = frac{1 + 5 + 9 + 10 + 15}{5} = 8`
`therefore overset_ x_2 = 8 + 5 = 13`
`text{Sum of all data points in Dataset 2}`
`= 6 xx 13`
`= 78`
`78` | `= 1 + 5 + 9 + 10 + 15 + x` |
`therefore \ x` | `= 78 – 40` |
`= 38` |
There are two tanks on a property, Tank `A` and Tank `B`. Initially, Tank `A` holds 1000 litres of water and Tank B is empty.
By drawing a line on the grid (above), or otherwise, find the value of `t` when the two tanks contain the same volume of water. (2 marks)
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a. `text{T} text{ank} \ A \ text{will pass trough (0, 1000) and (50, 0)}`
b. `text{T} text{ank} \ B \ text{will pass through (15, 0) and (45, 900)}`
`text{By inspection, the two graphs intersect at} \ \ t = 29 \ text{minutes}`
c. `text{Strategy 1}`
`text{By inspection of the graph, consider} \ \ t = 45`
`text{T} text{ank A} = 100 \ text{L} , \ text{T} text{ank B} =900 \ text{L} `
`:.\ text(Total volume = 1000 L when t = 45)`
`text{Strategy 2}`
`text{Total Volume}` | `=text{T} text{ank A} + text{T} text{ank B}` |
`1000` | `= 1000 – 20t + (t – 15) xx 30` |
`1000` | `= 1000 – 20t + 30t – 450 ` |
`10t` | `= 450` |
`t` | `= 45 \ text{minutes}` |
There are two tanks on a property, Tank A and Tank B. Initially, Tank A holds 1000 litres of water and Tank B is empty.
The volume of water in Tank A is modelled by `V = 1000 - 20t` where `V` is the volume in litres and `t` is the time in minutes from when the tank begins to lose water.
On the grid below, draw the graph of this model and label it as Tank A. (1 mark)
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a. `text{T} text{ank} \ A \ text{will pass trough (0, 1000) and (50, 0)}`
b. `text{T} text{ank} \ B \ text{will pass through (15, 0) and (45, 900)}`
`text{By inspection, the two graphs intersect at} \ \ t = 29 \ text{minutes}`
c. `text{Strategy 1}`
`text{By inspection of the graph, consider} \ \ t = 45`
`text{T} text{ank A} = 100 \ text{L} , \ text{T} text{ank B} =900 \ text{L} `
`:.\ text(Total volume = 1000 L when t = 45)`
`text{Strategy 2}`
`text{Total Volume}` | `=text{T} text{ank A} + text{T} text{ank B}` |
`1000` | `= 1000 – 20t + (t – 15) xx 30` |
`1000` | `= 1000 – 20t + 30t – 450 ` |
`10t` | `= 450` |
`t` | `= 45 \ text{minutes}` |
A cricket is an insect. The male cricket produces a chirping sound.
A scientist wants to explore the relationship between the temperature in degrees Celsius and the number of cricket chirps heard in a 15-second time interval.
Once a day for 20 days, the scientist collects data. Based on the 20 data points, the scientist provides the information below.
The scientist fits a least-squares regression line using the data `(x, y)`, where `x` is the temperature in degrees Celsius and `y` is the number of chirps heard in a 15-second time interval. The equation of this line is
`y = −10.6063 + bx`,
where `b` is the slope of the regression,
The least-squares regression line passes through the point `(barx, bary)`, where `barx` is the sample mean of the temperature data and `bary` is the sample mean of the chirp data.
Calculate the number of chirps expected in a 15-second interval when the temperature is 19° Celsius. Give your answer correct to the nearest whole number. (5 marks)
`29\ text(chirps)`
`y = −10.6063 + bx`
`text(Find)\ b:`
`text(Line passes through)\ \ (barx, bary)`
`barx` | `= 22 – 0.525` |
`= 21.475` |
`bary` | `= text(total chirps)/text(number of data points)` |
`= 684/20` | |
`= 34.2` |
`34.2` | `= −10.6063 + b(21.475)` |
`:.b` | `= 44.8063/21.475` |
`~~ 2.0864` |
`text(If)\ \ x = 19,`
`y` | `= −10.6063 + 2.0864 xx 19` |
`= 29.03` | |
`= 29\ text(chirps)` |
Tina inherits $60 000 and invests it in an account earning interest at a rate of 0.5% per month. Each month, immediately after the interest has been paid, Tina withdraws $800.
The amount in the account immediately after the `n`th withdrawal can be determined using the recurrence relation
`A_n = A_(n - 1)(1.005) - 800`,
where `n = 1, 2, 3, …` and `A_0 = 60\ 000`
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a. | `A_1` | `= 60\ 000(1.005) – 800 = $59\ 500` |
`A_2` | `= 59\ 500(1.005) – 800 = $58\ 997.50` | |
`A_3` | `= 58\ 997.50(1.005) – 800 = $58\ 492.49` |
b. `text{Amount (not interest)}`
`= 60\ 000 – (3 xx 800)`
`= $57\ 600`
`:.\ text(Interest earned in 3 months)`
`= A_3 – 57\ 600`
`= 58\ 492.49 – 57\ 600`
`= $892.49`
Mr Ali, Ms Brown and a group of students were camping at the site located at `P`. Mr Ali walked with some of the students on a bearing of 035° for 7 km to location `A`. Ms Brown, with the rest of the students, walked on a bearing of 100° for 9 km to location `B`.
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a. | `angle APB` | `= 100 – 35` |
`= 65^@` |
b. `text(Using cosine rule:)`
`AB^2` | `= AP^2 + PB^2 – 2 xx AP xx PB cos 65^@` |
`= 49 + 81 – 2 xx 7 xx 9 cos 65^@` | |
`= 76.750…` | |
`:.AB` | `= 8.760…` |
`= 8.76\ text{km (to 2 d.p.)}` |
c.
`anglePAC = 35^@\ (text(alternate))`
`text(Using cosine rule, find)\ anglePAB:`
`cos anglePAB` | `= (7^2 + 8.76 – 9^2)/(2 xx 7 xx 8.76)` | |
`= 0.3647…` | ||
`:. angle PAB` | `= 68.61…^@` | |
`= 69^@\ \ (text(nearest degree))` |
`:. text(Bearing of)\ B\ text(from)\ A\ (theta)`
`= 180 – (69 – 35)`
`= 146^@`