MSTE001 Solved Assignment 2021
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MSTE001 Solved Assignment 2021
Assignment Paper 
MSTE001 Solved Assignment 2021 
Subject Name 
Industrial StatisticsI 
No.of Pages in Solution 
34 
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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MSTE001 Solved Assignment 2021
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MSTE001 Solved Assignment 2021
MSTE001 Assignment Question Paper
(Statistical Techniques)
MSTE001: Industrial StatisticsI
All questions are compulsory. Answer in your own words.
 State whether the following statements are True or False. Give reason in support of your answer:
 Twenty pieces of different length of cloth contained 2, 4, 1, 3, 5, 4, 2, 7, 3, 5, 2, 2, 4, 5, 6, 4, 2, 1, 2, 4 defects respectively. To check the process is under control with respect to the number of defects, we should use pchart.
 If density function of the time to failure of an appliance is \(f\left(t\right)=\frac{32\:}{\left(t+4\right)^3\:}\); t >0 then reliability of the appliance for two years will be 0.444.
 If the probabilities are associated with the occurrence of different states of nature, then the situation is known as decision making under uncertainty.
 If there are 1% defectives notes of Rs.500 in a lot of 10000 notes of Rs 500, then the lot quality will be 99%.
 A system has four components connected in parallel configuration with reliability 0.2, 0.5, 0.4, 0.6. To improve the reliability of the system, we have to replace the weakest component to the more reliable component.
 (a) A company manufactures water pumps. The quality control inspector of the company takes a sample of 100 water pumps at regular intervals. The numbers of defective pumps for 15 samples are given below:
Sample No. 
Defective Pumps 
Sample No. 
Defective Pumps 
Sample No. 
Defective Pumps 
1 2 3 4 5 
5 6 3 2 1 
6 7 8 9 10 
0 4 8 2 2 
11 12 13 14 15 
6 1 10 2 1 
Use the data to construct a suitable chart. Observe the results and comment on the control
of the process as indicated by the chart.
(b) A restaurant produces fresh burgers for its customers every day. The company is known for supplying fresh burgers and never uses burgers prepared on the previous day. Demand for burgers is uncertain, preparation capacity is limited, and the restaurant has the option of producing 0, 100, 200, 300 and 400 burgers every day. It has been estimated that the cost of producing each burgers pack is Rs.15. Each burger is sold for Rs. 20. Prepare a payoff matrix when 0, 100, 200, 300 or 400 demands of the burgers turn up on any given day. Prepare an opportunity loss table and hence find the optimum strategy.
 A leather bag manufacturing company supplies bags in lots of size 200 to a buyer. A sample of 2 begs is drawn and the corresponding lot is accepted if and only if both begs are non defective. The company and the buyer decide that AQL = 0.04 and LTDD = 0.10. If there are 15 defective bags in each lot, compute the
 Probability of accepting the lot,
 Producer’s risk and consumer’s risk,
 AOQ, if the rejected lots are screened and all defective bags are replaced by nondefectives, and
 Average total inspection.
 An office supply company ordered a lot of 400 printers. When the lot arrives the company inspector will randomly inspect 12printers. If more than three printers in the sample are nonconforming, the lot will be rejected. If fewer than two printers are nonconforming, the lot will be accepted. Otherwise, a second sample of size 10 will be taken. Suppose the inspector finds two nonconforming printers in the first sample and two in the second sample. Also AQL and LTPD are 0.05 and 0.10 respectively. Let incoming quality be 4%. i) What type of acceptance plan is used here? 2) What is the probability of accepting the lot at the first sample? 3) What is the probability of accepting the lot at the second sample?
 A person has two independent investments A and B, but he can undertake only one at a time due to certain constraints. He can choose A first and then stop, or if A is successful, then take B or viceversa. The probability of success of A is 0.6 while for B it is 0.4. Both investments require an initial capital outlay of Rs. 10,000 and both return nothing if the venture is unsuccessful. Successful competition of A will return Rs. 20,000 (over cost) and successful completion of B will return Rs. 24,000 (over cost). Draw an appropriate decision tree and determine the best strategy.
 Two breakfast food manufacturers X and Y are competing for an increase market share. The payoff matrix, shown in the following table, describes the increase in the market share for X and decrease in the market share of Y.
X 


Y 

Give Coupons 
Decrease Price 
Maintain Present Strategy 
Increase Advertising 

Give Coupons 
10 
̶ 10 
20 
5 
Decrease Price 
30 
5 
60 
15 
Maintain Present Strategy 
̶ 15 
10 
0 
30 
Increase Advertising 
10 
̶ 15 
35 
5 
 Check whether saddle point exit or not.
 If saddle point does not exit then determine optimal strategies for both the manufacturers and value of the game.
 (a) A system has eight independent components and reliability block diagram of it shown blow.
Components 1, 2 and 3 are not identical and at least two components of this group must be available for system success. The reliability of component 1 to 8 (for a mission 1 year) is given below:
R_{6 }= R_{7 }= R_{8 }= 0.80 ,R_{1 }= 0.60 , R_{2 }= 0.40, R_{3 }=R_{5 }= 0.50 and R_{4 }=0.60.
Find reliability of the system.
(b) A system having Weibull failure distribution with pdf as
\(f\left(t\right)=\begin{pmatrix}\frac{1}{\theta }e^{\frac{t}{\theta }};&t>0,\theta >0\\ 0\:\:\:\:\:\:\:;&otherwise\end{pmatrix}\)
then
i) Compute the reliability function of the system, ii) Find the hazard rate,
iii) Find the MTTF, and iv) What is the life of the system if reliability of 0.90 is desired?
 Twelve samples of 4 LED bulbs were selected at regular intervals from a LED bulbs manufacturing company. If bulbs have mean life equal to 2000 hours, it is considered satisfactory. The SD of life of the bulbs is expected to be 520 hours. On testing the samples, the failure times (in hours) were recorded and given below:
Sample 1 
Sample 2 
Sample 3 
Sample 4 
Sample 5 
Sample 6 
Sample 7 
Sample 8 
Sample 9 
Sample 10 
Sample 11 
Sample 12 
2081 1363 2092 2385 
1528 1330 2053 1945 
1984 2384 2194 1456 
1728 1972 1647 1792 
1804 1845 2132 2024 
2002 1804 1760 2035 
1994 2023 2136 1842 
1616 1832 1497 1692 
1982 2342 2132 1994 
2132 1998 1554 1777 
2134 2140 1756 1994 
1749 1948 2050 1857 
 Prepare control chart for mean when the mean life and SD of the life of the LED bulbs are known and draw the conclusion.
 If mean and SD of the life of the LED bulbs are to be unknown, then prepare the control charts for mean and variability. If process is out of control then calculate the revised control limits.
 If specification limits as the 2000±SD, then find the process capability. Does it appear that the manufacturing process is capable of meeting the specification requirements?