a) Both terms can be written as:
\[ 18 = u_1 + 4d\]
\[ 30 = u_1 + 8d\]
By subtracting two equations from one another we get:
\[ 12 = 4d \implies d = 3\]
b) By plugging d = 3 into the first equation from part (a) we get:
\[ 18 = u_1 + 4 * 3\]
\[ u_1 = 6\]
c)
\[ u_n= 6+3(n-1)=3+3n \]
Closea)
\[ u_5= u_1*r^{(5-1)}=15* (\frac{1}{3})^4=0.185\]
b)
\[ 15*(\frac{1}{3})^{(n-1)} < 1\]
\[ 15*(\frac{1}{3})^{(n-1)} - 1 < 0\]
This can be plugged into the GDC as a function and solved for its zero, like it's done on the figure below:
Since this is an inequality, we're looking for a value either greater than or smaller than 3.46. In this case, since we are raising to the power of \( n \) and are looking for a value smaller than 0, it has to be \( n > 3.46 \), as the fraction will become smaller and smaller with higher values of \( n \).
\[ n > 3.46\]
So the fourth term will be the first one with a value lower than 1.
c)
\[ S_7 = \frac{u_1(1-r^7)}{1-r} = \frac{15(1-\frac{1}{3}^7)}{1-\frac{1}{3}} = 22.5\]
Closea) By dividing consecutive terms of the series by the previous term we get that:
\[ \frac{20}{80}= \frac{1}{4}\]
\[ \frac{5}{20}= \frac{1}{4}\]
\[ \frac{5/4}{5}= \frac{1}{4}\]
As we can see, all common ratios are the same meaning that it is a geometric series.
b)
\[ S_{10} = \frac{u_1(1-r^{10})}{1-r} = \frac{80(1-\frac{1}{4}^{10})}{1-\frac{1}{4}} = 106.67\]
Closea) Knownig that March has 31 days we can use the formula:
\[ 72 = 12 + d(31 - 1)\]
\[ d = 2\]
b)
\[ S_n= \frac{n}{2}*(u_1+ u_n)\]
\[ S_{31}= \frac{31}{2}*(12 + 72)\]
\[ S_{31}= 1302\]
Closea)
\[ u_n = 25000 * 1.15^{n-1}\]
b) Since the end of 2015 is \( u_1 \), then the end of 2018 has to be \( u_4 \):
\[ u_4 = 25000 * 1.15^3 = 38021.88\]
c)
\[25000 * 1.15^{n-1} = 700000\]
This can be either solved in a GDC or using logarithms. To solve it in GDC it just needs to be slightly rearranged, input as a function and solved for zero:
\[25000 * 1.15^{n-1} - 70000= 0\]
\[n = 8.37\]
Hence, it will take 9 years for it to reach 70000.
Closea) The swings will follow a gemoetric sequence with u1 = 3, and r = 0.9. Then to get the fourth swing:
\[3 * 0.9^{4-1}= 2.19\]
b) We know that the distance has to fall below 0.5 for the dad to give a push, so:
\[3 * 0.9^{n-1}= 0.5\]
\[n = 18.005986\]
So, it will take 19 swings for dad to have to give a push.
Closea) Knowing that the car is worth $20,250 after two years from the initial value of $25,000, we have that:
\[25000 * (1-r)^2 = 20250\]
\[r = 0.1\]
b) Knowing that the starting value is $30,000 and the depreciation rate is 15%, we have that:
\[30000 * 0.85^5 = 13311.16\]
c) Using our answers from part (a) and (b)
\[30000 * 0.85^n < 25000 * 0.9^n\]
\[n > 3.19\]
Closea) The first couple of terms of this sequence are: 7, 11, 15, ...
Thus, it can be clearly seen that this is an arithmetic sequence.
b) By looking at the answer from part (a) it can be easily found that the common difference is 11 - 7 = 4
c)
\[\sum_{n=1}^{5} (4n + 3)\]
d) A formula for the sum of an arithmetic series can be used:
\[ S_n= \frac{n}{2}*(2u_1+ d(n-1))\]
\[ S_{10}= \frac{10}{2}*(2 * 7+ 4(10-1)) = 5 * (14 + 36) = 250\]
Closea) This is an arithmetic sequence with a common difference of 25, so it can be easily found that u1 is 225, and:
\[u_n = 225 + 25(n-1)\]
\[u_{25} = 225 + 25(25-1) = 825\]
b) It can be found with the formula:
\[ S_{15}= \frac{15}{2}*(2 * 225+ 25(15-1)) = 7.5 * (450 + 350) = 6000\]
c) Using the formula from part (a)
\[225 + 25(n-1) > 1000\]
\[225 + 25(n-1) > 1000\]
Now it can be rearranged to find the equation which can be plugged directly into GDC:
\[225 + 25(n-1) - 1000 > 0\]
\[n > 32\]
So, the first term at which the value is greater than 1000 is the 33rd term.
d) By looking at this sequence it can be seen that this is a geometric sequence with r = 3, so:
\[9 = w_1 * 3^{3-1}\]
\[w_1 = 1\]
e) To answer this question we first need to find the general formula for this sequence:
\[w_n = w_1 * r^{n-1}\]
\[w_n = 1 * 3^{n-1}\]
\[w_n = 3^{n-1}\]
So the sigma notation will look as follows:
\[\sum_{n=1}^{4} (3^{n-1})\]
f) Now, let's compare the general formulas for those two sequences:
\[3^{n-1} > 225 + 25(n-1)\]
Let's rearrange it again to be able to plug it into GDC:
\[3^{n-1} -225 - 25n + 25> 0\]
\[n > 6.35\]
So, the first term will be term number 7.
Closea) Using the formula for the future value we get:
\[\text{FV} = \text{PV} \left(1 + \frac{r}{100}\right)^n\]
Since the interest is compounded annually, the formula becomes:
\[\text{FV} = 12000 \left(1 + \frac{4.75}{100}\right)^n = 12000 * 1.0475^n\]
b) By plugging the values into the formula from part (a):
\[\text{FV} = 12000 * 1.0475^2 = 13167.08\]
\[\text{FV} = 12000 * 1.0475^5 = 15133.92\]
\[\text{FV} = 12000 * 1.0475^{10} = 19086.29\]
c) Since we know that after 5 years Lisa will have $15,133.92 (calculated in part b), we can see that this value is greater than $15,000. So, Lisa will have enough money to put down her deposit.
a) Formula for the future value with depreciation is as follows:
\[\text{FV} = \text{PV} \left(1 - \frac{r}{100k}\right)^{kn}\]
Since it depreciates yearly, we have that \(k = 1\), so:
\[\text{FV} = 32500 \left(1 - \frac{10}{100}\right)^8 = 32500 * 0.9^8 = 13990.18\]
b) By plugging in the values to the same formula and using the GDC:
\[9200 = 18000 \left(1 - \frac{r}{100}\right)^5\]
Solving for \(r\), we get:
\[r \approx 12.56\%\]
a) Using the formula for un in an arithmetic sequence:
\[u_n = u_1 + d(n-1)\]
\[u_5 = u_1 + 4d\]
\[0.4 = 1.2 + 4d \implies = d=-0.2 \]
b) By applying the value for common difference into the formula from (a):
\[u_n = u_1 + d(n-1)\]
\[u_n = 1.2 + -0.2(n-1) = 1.2 - 0.2n + 0.2 = 1.4 - 0.2n\]
c) Since we know the common difference, we can plug in the values into the table:
n | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|
\(P(X=n)\) | \(\frac{1.2}{k+1}\) | \(\frac{1}{k+1}\) | \(\frac{0.8}{k+1}\) | \(\frac{0.6}{k+1}\) | \(\frac{0.4}{k+1}\) |
We also know that the sum of all those probabilities has to add up to 1, so:
\[\frac{1.2}{k+1} + \frac{1}{k+1} + \frac{0.8}{k+1} + \frac{0.6}{k+1} + \frac{0.4}{k+1} = 1\]
\[\frac{4}{k+1} = 1\]
\[k=3\]
Closea) Using the formula for future value:
\[ \text{FV} = \text{PV} \left(1 - \frac{r}{100}\right)^n \]
For the Honda motorcycle:
\[ \text{FV} = 20000 \left(1 - \frac{4}{100}\right)^6 \approx 15655.16 \]
b) The difference in values after 3 years:
\[ 20000 \left(1 - \frac{4}{100}\right)^3 - 25000 \left(1 - \frac{9}{100}\right)^3 \approx -1144.56 \]
c) Using a calculator:
\[ 20000 \left(1 - \frac{4}{100}\right)^n > 25000 \left(1 - \frac{9}{100}\right)^n \]
Solving for \( n \), we find:
\[ n \approx 5 \text{ years} \]
a) Using the formula for future value:
\[ \text{FV} = \text{PV} \left(1 + \frac{r}{100k}\right)^{kn} \]
\[ 20000 = 10000 \left(1 + \frac{5.5}{100 * 4}\right)^{4n} \]
Solving for \( n \), we find:
\[ n \approx 12.69 \text{ years} \]
b) For the high-growth stock option:
\[ 20000 = 10000 \left(1 + \frac{r}{100}\right)^6 \]
Solving for \( r \), we find:
\[ r \approx 12.25\% \]
a) The sum of the first 4 terms is given by:
\[ S_4 = 2(4)^2 - 4 = 2 * 16 - 4 = 32 - 4 = 28 \]
b) Given that the sum of the first 5 terms is 45:
i. To find \( u_5 \), we use the fact that \( S_5 = 45 \):
\[ S_5 - S_4 = u_5 \]
\[ 45 - 28 = 17 \]
Thus, \( u_5 = 17 \).
ii. To find \( u_1 \), we note that the sum of the first term has to be equal to this first term, so using \( S_n = 2n^2 - n \):
\[ S_1 = 2(1)^2 - 1 = 1 \]
Thus, \( u_1 = 1 \).
iii. To find \( u_n \), we use the general term of the arithmetic sequence:
\[ u_n = u_1 + d(n-1) \]
Given that \( u_5 = 17 \) and \( u_1 = 1\):
\[ 17 = 1 + d(5-1) \implies d = 4 \]
The nth term \( u_n \) is then:
\[ u_n = u_1 + (n-1)d = 1 + (n-1) * 4 = 4n - 3 \]
c) For the geometric sequence \( w_n \) where \( w_1 = u_1 \) and \( w_3 = u_3 \):
\[ w_1 = u_1 = 1 \]
\[ u_3 = u_1 * d(3-1) \]
\[ u_3 = 1 + 4 * 2 = 9 \]
\[ w_3 = u_3 = 9 \]
The general term of a geometric sequence is \( w_n = w_1 * r^{n-1} \), thus:
\[ w_3 = w_1 * r^2 \]
\[ 9 = 1 * r^2 \]
\[ r^2 = 9 \]
\[ r = \pm 3 \]
d) Given \( v_6 > 0 \), we select one possible value of \( r \):
If \( r = 3 \), \( v_6 \) will be positive. This can be done by plugging the value into the formula:
\[ w_6 = 1 * 3^5 = 243 \]
On the other hand, for \( r = -3 \):
\[ w_6 = 1 * (-3)^5 = -243 \]
So, one possible value of \( r \) is \( 3 \).
Closea) Using the formula for future value:
\[ FV = PV \left(1 + \frac{r}{100 * k}\right)^{kn} \] where \( PV = 40000 \), \( r = 5.5 \), \( k = 12 \), and \( n = 5 \):
\[ FV = 40000 \left(1 + \frac{5.5}{100 * 12}\right)^{12 * 5} = 52628.15 \]
b) Using the formula for future value again to find \( n \) when \( FV = 60000 \):
\[ 60000 = 40000 \left(1 + \frac{5.5}{100 * n}\right)^{12 * n} \]
Solving it using a financial calculator or software:
\[ n \approx 7.39 \]
a) Using the formula for future value with quarterly compounding:
\[ FV = PV \left(1 + \frac{r}{100 * k}\right)^{kn} \] where \( PV = 12000 \), \( r = 5 \), \( k = 4 \) (quarterly), and \( n = 3 \):
\[ FV = 12000 \left(1 + \frac{5}{100 * 4}\right)^{12} = 13929.05 \]
b) The higher the frequency of compounding the higher will be the final value, keeping everything else constant. Thus, a yearly compound rate will result in a lower final value as compared to quarterly compounding.
c) Using the formula for future value with yearly compounding:
\[ FV = PV \left(1 + \frac{r}{100}\right)^{n} \] where \( PV = 12000 \), \( r = 5 \), and \( n = 3 \):
\[ FV = 12000 \left(1 + \frac{5}{100}\right)^{3} = 13891.5 \]
a) First, we have to find the value of the BMW after 5 years:
\[ \text{FV} = \text{PV} \left(1 - \frac{r}{100}\right)^n \] where \( \text{PV} = 35000 \), \( r = 8 \), and \( n = 5 \):
\[ \text{FV} = 35000 \left(1 - \frac{8}{100}\right)^5 = 23067.85 \]
So, the difference will be:
\[ 35000 - 23067.85 = 11932.15 \]
b) We have to equalize two equations for future value with one unknown (Mercedes’ price):
\[ 35000 \left(1 - \frac{8}{100}\right)^6 = P \left(1 - \frac{5}{100}\right)^6 \]
Solving for \( P \):
\[ P = \frac{35000 \left(1 - \frac{8}{100}\right)^6}{\left(1 - \frac{5}{100}\right)^6} = 28870.44 \]
n | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|
\(P(X=n)\) | \(\frac{1.2}{k+1}\) | \(\frac{u_2}{k+1}\) | \(\frac{u_3}{k+1}\) | \(\frac{u_4}{k+1}\) | \(\frac{0.4}{k+1}\) |