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Question 13 Marks
The I.Q.'s (intelligence quotients) of 16 students from one area of a city showed a mean of 107 with a standard deviation of 10 while the I.Q.'s of 14 students from another area of the city showed a mean of 112 with a standard deviation of 8. Is there a significant difference between the I.Q.’s of the two groups at
i. $1\%$
ii. $5\%$ level of significance?
Answer
Performing independent samples t-test,not assuming equal variances.
Assumptions: both populations must be normal.
The null hypothesis: the mean IQs are equal.
The alternative hypothesis: the mean IQs are different.
Degrees of freedom: df= min(N1, N2) - 1 = 13
The standard error:
$SE =\sqrt{\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2}}=\sqrt{\frac{10^2}{16}+\frac{8^2}{14}}=3.2896$
The test statistics:
$t =\frac{\left(\bar{X}_1-\bar{X}_2\right)-0}{S E}=\frac{107-112}{3.2896}=-1.52$
The two-tailed cumulative probability value associated with the given t-statistic can be determined from the Student’s t-distribution table or calculated using the technology (function T.DIST.2T() of MS Excel).
For df = 13 and t = -1.52, p = 0.152
Since the p-value is greater than both $\alpha$ values, fail to reject the null hypothesis at both significance levels.
The samples do not provide sufficient evidence to conclude the difference between the mean IQs.
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Question 23 Marks
The average number, in lakhs, of working days lost in strikes during each year of the period 2001-2010 was
2001200220032004200520062007200820092010
1.51.81.92.22.63.72.26.43.65.4
Calculate the three-yearly moving averages and draw the moving averages graph.
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Question 33 Marks
If X is a normal variate with mean 30 and S.D. 5. Find:
i. $P (26 \leq X \leq 40)$
ii. $P(X \geq 45)$
iii. $P (| X -30|>5)$
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Question 43 Marks
In a normal distribution $31\%$ of the articles are under 45 and $8\%$ are over $64.$ Calculate the mean and standard deviation of the distribution.
Answer
Let X be a normal distribution random variable, then
$P(X < 45) = 31\%$ i.e. 0.31 and $P(X > 64) = 8\%$ i.e. 0.08
Let the mean and the standard deviation of the distribution be $\mu$ and $\sigma$ respectively, then
$\begin{array}{l}\text { for } X =45, Z =\frac{45-\mu}{\sigma} \text { and for } X =64, Z =\frac{64-\mu}{\sigma} \\ \therefore P ( X <45)= P \left( Z <\frac{45-\mu}{\sigma}\right)=0.31\end{array}$
$\begin{array}{l}\Rightarrow P \left( Z <\frac{45-\mu}{\sigma}\right)= P ( Z <-0.5) \text { (using table) } \\ \Rightarrow \frac{45-\mu}{\sigma}=-0.5 \ldots \text { (i) }\end{array}$
$\begin{array}{l}\text { and } P ( X >64)= P \left( Z >\frac{64-\mu}{\sigma}\right)=0.08=1-0.92 \\ \Rightarrow P \left( Z >\frac{64-\mu}{\sigma}\right)=1- P ( Z \leq 1.4)= P ( Z >1.4) \text { (using table) } \\ \Rightarrow \frac{64-\mu}{\sigma}=1.4 \ldots\text{(ii)}\end{array}$
Dividing equation (i) by (ii), we get
$\begin{array}{l}\frac{45-\mu}{64-\mu}=\frac{-0.5}{1.4} \Rightarrow 63-1.4 \mu=-32+0.5 \mu \\ \Rightarrow 95=1.9 \mu \Rightarrow \mu=50.\end{array}$
Substituting $\mu=50$ in equation (i), we get
$\frac{45-50}{\sigma}=-0.5 \Rightarrow \sigma=10$
Hence, mean 50 and standard deviation = $\sigma=10$
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Question 53 Marks
Suppose that the demand function for a certain commodity is $p=20-4 x^2$ and the marginal cost is $\text{MC} = 2x + 6,$ where x is the number of units produced. Find the consumer’s surplus at the sales level $x _0$ where profit is maximized.
Answer
Let P be the profit function and R be the revenue function. Then,
$R = px =20 x -4 x ^3$ and $MR =\frac{d R}{d x}=20-12 x ^2$
Now, P = R - C
$\begin{array}{l}\Rightarrow \frac{d P}{d x}=\frac{d R}{d x}-\frac{d C}{d x} \\ \Rightarrow \frac{d P}{d x}= MR - MC \\ \Rightarrow \frac{d P}{d x}=\left(20-12 x ^2\right)-(2 x +6) \\ \Rightarrow \frac{d P}{d x}=14-2 x -12 x ^2 \text { and } \frac{d^2 P}{d x^2}=-2-24 x \end{array}$
For maximum value of P, we must have
$\frac{d P}{d x}=0$
$\begin{array}{l}\Rightarrow 14-2 x -12 x ^2=0 \\ \Rightarrow 6 x ^2+ x -7=0 \\ \Rightarrow 6 x ^2+7 x -6 x -7=0 \Rightarrow(6 x -7)( x -1)=0 \Rightarrow x -1=0 \Rightarrow x =1\end{array}$
Clearly, $\left(\frac{d^2 p}{d x^2}\right)_{x=1}=-2-24=-26<0$
Hence, the profit is maximum when x = 1. Therefore, $x_0=1$. Putting $x_0=1$ in $p=20-4 x^2$ , we obtain $p_0=16$.
The consumer's surplus at $x_0=1$ is given by
$\begin{array}{l} CS =\int_0^1 p d x-p_0 x_0 \\ \Rightarrow CS =\int_0^1\left(20-4 x^2\right) d x-16 \times 1 \\ \Rightarrow CS =\left[20 x-\frac{4}{3} x^3\right]_0^1-16=20-\frac{4}{3}-16=\frac{8}{3}\end{array}$
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Question 63 Marks
Mr. M borrowed ₹10,00,000 from a bank to purchase a house and decided to repay by monthly equal instalments in 10 years. The bank charges interest at 9% compounded annually. The bank calculated his EMI as ₹ 12,668. Find the principal and interest paid in first year. [Given $a_{108] 0.0075}=73.83916$ ]
Answer
Principal left unpaid after one year (12 payments)
= present value of remaining 108 payments = $R a_{n\rceil i}$
Where $R =12,668, n =108$ and $i =\frac{0.09}{12}=0.0075$
$\begin{array}{l}=12,668 \times a_{108\rceil0.0075} \\ =12,668 \times 73.83916=\text { ₹ } 9,35,395\end{array}$
Principal paid during first year $= 10,00,000 - 9,35,395 =$ ₹ $64,605$
Interest paid during first year
$=(12,668\times12)-64,605$
$=$ ₹ $87,651$
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Question 73 Marks
Find the differential equation of all the circles in the first quadrant which touch the coordinate axes.
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Question 83 Marks
Solve the initial value problem: $x \frac{d y}{d x}+ y = x \log x , y (1)=\frac{1}{4}$
Answer
We have, $x \frac{d y}{d x}+ y = x \log x$
$\Rightarrow \frac{d y}{d x}+\frac{1}{x} y=\log x \ldots\text{(i)}$
This is linear differential equation of the form $\frac{d y}{d x}+ Py = Q$ with $P =\frac{1}{x}$ and $Q =\log x$
$\therefore$ $I.F.=e^{\int \frac{1}{x} d x}= e ^{\log x }= x [\because x >0]$
Multiplying both sides of (i) by I.F. = x, we get
$x\frac{dy}{dx}+y=x\text{ log x}$
Integrating with respect to $x,$ we get,
$yx=$ $\int \underset{I I}{x}$ $\log x ~d x$ [Using: y (I.F.) $=\int Q$ (I.F.) $\left.dx + C \right]$
$\Rightarrow yx =\frac{x^2}{2}(\log x ) \frac{1}{2} \int xdx$
$\Rightarrow yx =\frac{x^2}{2}(\log x )-\frac{x^2}{4}+ C \ldots\text{(ii)}$
It is given that $\text{y}(1)=\frac{1}{4}$ i.e. $\text{y}=\frac{1}{4}$ where $\text{x}=1.$ Putting $\text{x}=1$ and $\text{y}=\frac{1}{4}$ in $\text{(ii)},$ we get
$\frac{1}{4}=0-\frac{1}{4}+ C \Rightarrow C =\frac{1}{2}$
Putting $\text{C}=\frac{1}{2}$ in $\text{(ii)},$ we get
$x y=\frac{x^2}{2}(\log x )-\frac{x^2}{2}+\frac{1}{2} \Rightarrow y =\frac{1}{2} x \log x -\frac{x}{4}+\frac{1}{2 x}$
Hence, $\text{y}=\frac{1}{2}$ $x$ log $x-\frac{x}{4}+\frac{1}{2x}$ is the solution of the given differential equation.
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3 Marks Question - Applied Maths STD 12 Science Questions - Vidyadip