Solve your IGNOU Doubts
Solve your IGNOU Doubts
Question:

Every clinical thermometer is classified into one of the four catergories A, B, C and D on the basis of inspection and test. From the past experience it is known that thermometers produced by a certain manufacturer are distributed among the four categories in the following proportions:

Category: A B C D
Proportion: 0.87 0.009 0.003 0.01

A new lot of 1336 thermometers is submitted by the manufacture for inspection and test and the following distribution of categories obtained:

Category: A B C D
No. of thermometers
Reported: 
1188 91 47 10

At 5% level of significance test whether this new lot of thermometers differ from the previous experience.

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Question:

b) The position f(x) of a particle moving in a line at various times x_k is given in the following table. Estimate the velocity and acceleration of the particle at x=1.2.

x 1.0 1.2 1.4 1.6 1.8 2.0 2.2
f(x) 2.72 3.32 4.06 4.96 6.05 7.39 9.02

 

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Question:

a) Derive a suitable numerical differentiation formula of  0(h^2) to find f''(2.4) with h=0.1 given the table 

x 0.1 1.2 2.4 3.9
f(x) 3.41 2.68 1.37 -1.48

 

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Question:

The joint probability distribution of x and y is given below:

x\rightarrow y\downarrow 0 1 2
0 \frac{1}{12} \frac{1}{6} \frac{1}{24}
1 \frac{1}{4} \frac{1}{4} \frac{1}{40}
2 \frac{1}{8} \frac{1}{20} __
3 \frac{1}{120} __ \frac{1}{120}

Find (i) )P(x=1,=2)
 (ii) )P(x=0,1\leq y<3)
 (iii) )P(x+y\leq1)
 (iv) )P(x>y)

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Question:

c) Using finite differences, show that the data 

x -3 -2 -1 0 1 2 3
f(x) 13 7 3 1 1 3 7

represents a second degree polynomial. Obtain this polynomial using interpolation and find f (2.5). 

 

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Question:

b) The function f(x)=1n(1+x) is to be tabulated at equispaced points in the interval [2, 3] using linear interpolation. Find the largest step size h that can be used so that  the error \leq 5\times 10^{-4} in magnitude. 

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Question:

a) Determine the constants a,\beta ,y in the differentiation formula y'(x_0)=ay(x_0-h)+\beta y(x_0)+\gamma y(x_0+h)so that the method is of the highest possible order. Find the order and the error term of the method.

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Question:

Show that variance can be expressed in terms of the mutual differences x_i-x_j of the observations i.e.

S^2=\frac{1}{2n^2}\sum_{i=1}^{n}\sum_{j=1}^{n}(x_i-x_j)^2.

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Question:

b) Solve the system of equations

 \bg_white 3x+2y+4z=7

2x+y+z=7

x+3y+5z=2

with partial pivoting. Store the multipliers and also write the pivoting vectors. 

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Question:

a) Find the dominant eigenvalue and the corresponding eigenvector for the matrix 

A=\begin{bmatrix} -4 &14 & 0\\-5 &13 &0 \\-1 &0 &2 \end{bmatrix} 

using five iterations of the power method and taking y^0=[111]^T as the initial vector. 

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Question:

Let f(x,y)=x+y;0<x<1,0<y<1. Find (i) the correlation coefficient between x and y, and (ii)  E( y / x) .

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Question:

An unbiased die is rolled twice. Let A_1 denote the event: odd face roll on the first die, A_2 denote the event that total score is Odd. Check the independence of A_1 and . A_2

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Question:

b) For the linear system of equations \begin{bmatrix} 1 &2 &-2 \\1 &1 &1 \\2 &2 &1 \end{bmatrix}\begin{bmatrix} x_1\\x_2 \\x_3 \end{bmatrix}=\begin{bmatrix} 1\\3 \\5 \end{bmatrix}

set up the Gauss-Jacobi and Gauss-Seidal iteration schemes in matrix form. Also check the convergence of the two schemes. 

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Question:

Let p be the probability that a coin will fall head in a single toss in order to test H_0:p=\frac{1}{2} against H_1:p=\frac{3}{4}, The coin is tossed 3 times and H_0 is rejected if more than 2 heads are obtained. Find the probability of type I and type II errors. Also obtain the power of the test.

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Question:

If x\sim n(\mu ,\sigma ^2). Find the moment generating function of x − c where c is constant.

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Question:

a) Solve the system of equations 

0.6x+0.8y+0.1z=1

1.1x+0.4y+0.3z=0.2 x+y+2z=0.5

by LU decomposition method and find the inverse of the coefficient matrix

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Question:

If x has an exponential distribution with parameter θ . Find the density function of log_e\,x.

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Question:

Find the maximum likelihood estimator for the parameter λ of the Poisson distribution on the basis of a sample of size n . Also, find its variance.

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Question:

The first three moments of a distribution about the value 2 are 1, 16 and – 40 respectively. Examine the Skewness of the distribution.

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Question:

c) Find the inverse of the matrix 

A=\begin{bmatrix} 1 &-1 & 1\\1 &-2 & 4\\1 &2 &2 \end{bmatrix}

using Gauss Jordan method.

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