MSTE002 Solved Assignment 2021
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MSTE002 Solved Assignment 2021
Assignment Paper 
MSTE002 Solved Assignment 2021 
Subject Name 
Industrial StatisticsII 
No.of Pages in Solution 
45 
Course 
PGDAST 
Language 
ENGLISH 
Session 
2021 
Last Date for Submission of Assignment 
For June Examination 30th April 2021 or as per dates given in the website For December Examination 31st October 2021 or as per dates given in the website 
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MSTE002 Solved Assignment 2021
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MSTE002 Solved Assignment 2021
MSTE002 Assignment Question Paper
(Statistical Techniques)
MSTE002: Industrial StatisticsII
All questions are compulsory. Answer in your own words.
 State whether the following statements are true or false and also give the reason in support of your answer.
 If the arrival rate is 12 per hour and service rate is 4 per hour, then the probability of no customer in queue is 0.3.
 If the coefficient of determination is 0.833, the number of observations and independent variables are 12 and 3, respectively, then Adjusted R^{2} will be 0.84.
 The Set S ={(x, y) : 0 ≤ y ≤ 5 when 0 ≤ x ≤ 2 and 3 ≤ y ≤ 5 when 2 ≤ x ≤ 7 } is not a convex set.
 The solution to a transportation problem with 3rows (supplies) and 3columns (destinations) is feasible if number of positive allocations is 6.
 Variations which occur due to natural forces and operate in a regular and periodic manner over a span of less than or equal to one year are termed as cyclic variations.
 Solve the following LPP using simplex method:
Maximize Z = 10 x_{1} + x_{2} + 2x_{3} Subject to the constraints:
4x_{1} + x_{2} – 6x_{3} = 7
6x_{1}+ x_{2 }– 4x_{3 }≤ 5
3 x_{1 }– x_{2} – x_{3} ≤ 0
x_{1}, x_{2}, x_{3} ≥ 0
 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 
1954 
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.
 a) 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.
 b) 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.
 What is the probability that a person arriving at the booth will have to wait?
 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?
 What is the average length of the queen that forms from time to time?
 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?
 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 X_{1 }(in Number) 
Annual Advertising Expenditure X_{2} (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.
 A solicitors’ firm employs typists on hourly pricerate 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 B C D E 
85 90 75 80 76 
75 78 66 72 64 
65 66 57 60 56 
125 132 114 120 112 
75 78 69 72 68 
 a) Obtain seasonal Indices by the “Moving average” method from the following data:
Quarterly output of a Factory 

Year 
I 
II 
III 
IV 
2010 2011 2012 2013 
65 68 70 60 
58 63 59 55 
56 63 56 51 
61 67 52 58 
(b) For the following Auto regressive model
X_{t }= 0.7X_{t}_{−}_{1 }−0.4X_{t}_{−}_{2 }+a_{t}
 i) Verify whether the series is Stationary
 ii) Obtain ρ_{k }: k =1,2,3,4 and 5
Plot the Correlogram.
 a) A company has three production factories S_{1}, S_{2} and S_{3} with production capacity of 7, 9 and 18 units (in 100 s) per week of a product, respectively. These units are to be shipped to four warehouses D_{1}, D_{2}, D_{3} and D_{4} with requirements of 5, 8, 7 and 14 units (in 100’s) per week, respectively. The transportation costs (in rupees) per unit between factories to ware houses are given in table below.
Obtain the initial basic solution using LC Method and also obtain the optimum solution
using MODI method.
 b) Twentyfive successive observations on a stationary time series are given as follows:
30, 33, 32, 27, 25, 28, 29, 31, 35, 34, 38, 31, 23, 24, 34, 36, 29, 32, 38, 27, 22, 29, 20, 40,
Calculate r_{1}, r_{2}, ….., r_{10} and plot the correlogram.