Solve your IGNOU Doubts
Solve your IGNOU Doubts
Question:

For the following Auto regressive model

Xt = 0.7Xt-1- 0.4Xt-2 + at

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Question:

Obtain seasonal Indices by the “Moving average” method from the following data:

     Quarterly output of a Factory    
 Year  I  II  III  IV
 2010  65  58  56  61
 2011  68  63  63  67
 2012  70  59  56  52
 2013  60  55  51  58
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Question:

Define the binding energy of nuclei. Draw a graph between binding energy per nucleon as a function of mass number. Write the main features of the curve.

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Question:

The mean life of a radioactive element is 17.31 months. Calculate the time required for 75% of the element to decay.

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Question:

Classify the following particles as anti-leptons, baryons and mesons:

\Sigma ^{\circ},\Omega ^{-},\mu ^{+},e^{+},\pi ^{\circ},\eta ^{\circ}

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Question:

A solicitors’ firm employs typists on hourly price-rate basis for their daily work. There are five typists and their charges and speed are different. According to an earlier understanding only one job is given to one typist and the typist is paid for a full hour even if he works for a fraction of an hour. Find the least cost allocation for the following data:

 Typist      Jobs    
   P  Q  R  S  T
 A  85  75  65  125  75
 B  90  78  66  132  78
 C  75  66  57  114  69
 D  80  72  60  120  72
 E  76  64  56  112  68
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Question:

Explain with reason whether the following reactions are possible or not:

i)\pi ^{+}+p\rightarrow \wedge +K^{\circ}

ii)\pi ^{-}+p\rightarrow n+\pi ^{\circ}

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Question:

The annual sales revenue (in lakhs of Rs) of a product as a function of sales force (number of salesmen) and annual adverting expenditure (in Thousands of Rs) for the past 10 years are summarised in following table:

Annual Sales

Revenue Y(in

Lakhs)

Sales Force X1

(in Number)

Annual Advertising

Expenditure X2 (in

Thousand)

100

 

115

 

125

 

135

 

105

 

145

 

110

 

120

 

135

 

175

40

 

65

 

40

 

90

 

115

 

80

 

50

 

60

 

70

 

100

140

 

115

 

190

 

80

 

100

 

140

 

115

 

150

 

130

 

160

Obtain a regression model to forecast the annual sales revenue of the product using Matrix Method.

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Question:

What is the probability that it will take him or her more than 10 minutes altogether to wait for the phone and complete his or her call?

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Question:

What is the average length of the queen that forms from time to time?

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Question:

A reactor is producing energy at the rate of 32 \times106 watts. How many atoms of U235 undergo fission per second? Assume that on the average, energy of 200 Me V is released per fission.

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Question:

The telephone department will install a second booth when convinced that an arrival would expect waiting for at least 3 minutes for phone call. By how much should the flow of arrivals increases in order to justify a second booth?

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Question:

What is the probability that a person arriving at the booth will have to wait?

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Question:

How are radioisotopes produced? Describe three examples of their use as tracers.

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Question:

At what potential difference must an X-ray tube operate to produce X-rays with a minimum wavelength of 2 \AA ?

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Question:

Arrivals at telephone booth are considered to be Poisson with an average time of 10 minutes between are arrival and the next. The length of phone call is assumed to be distributed exponentially with mean 3 minutes

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Question:

Write down the electronic configuration of Ca20 and Sr38 and their ground state spectral terms.

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Question:

The production department for a company requires 3600 kg of raw material for manufacturing a particular item per year. It has been estimated that the cost of placing an order is Rs 36 and the cost of carrying inventory is 25 percent of the investment in the inventories. The price is Rs10 per kg. The purchase manager wishes to determine an ordering policy for raw material

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Question:

For a simple harmonic oscillator, show that the expectation value of x, defined as   < x>\: _{mu}=\int \Psi m^{^{^{^{*}}}}\: \: (x)dx \: is\sqrt{\frac{1}{2a^{2}}}

for the n = 0 and m =1 states. Use the result

\int_{0}^{\infty }x\: ^{^{\frac{1}{2}}}\: e^{-x}dx= \sqrt{\pi }.

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Question:

Let X is the advertisement expenditures (in Lakh Rs.) and Y is the sales (in Lakh Rs.). Let the data are

 X:  1182  1172  1264  1493  1571  1711  1804  1840  1956  1956
 Y:  129  135  147  160  171  184  198  223  240  293

Estimate the parameters and find the estimated linear equation. Whether the advertisement influences the sale of product? Test and comment on the goodness of fit of the model.

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