The failure data for 40 electronic components is shown below:
| Operating Time (in hours) | 0-5 | 5-10 | 10-15 | 15-20 | 20-25 | 25-30 |
| Number of Failures | 5 | 7 | 6 | 4 | 5 | 4 |
| Operating Time (in hours) | 30-35 | 35-40 | 40-45 | 45-50 | ≥50 | |
| Number of Failures | 4 | 0 | 2 | 1 | 2 |
Estimate the reliability, cumulative failure distribution, failure density and failure rate functions.
To estimate the Reliability (R(t)), Cumulative Failure Distribution (F(t)), Failure Density (f(t)), and Failure Rate (h(t)) functions numerically, we follow these steps: --- ### Step 1: Compute the Cumulative Number of Failures The cumulative number of failures at each time interval is calculated by summing up the failures from the start. | Operating Time (hrs) | Failures in Interval | Cumulative Failures | |----------------------|---------------------|----------------------| | 0 - 5 | 5 | 5 | | 5 - 10 | 7 | 12 | | 10 - 15 | 6 | 18 | | 15 - 20 | 4 | 22 | | 20 - 25 | 5 | 27 | | 25 - 30 | 4 | 31 | | 30 - 35 | 4 | 35 | | 35 - 40 | 0 | 35 | | 40 - 45 | 2 | 37 | | 45 - 50 | 1 | 38 | | ≥50 | 2 | 40 | Total number of components = 40 (since all components fail eventually). --- ### Step 2: Compute Cumulative Failure Distribution (F(t)) The cumulative failure distribution function is: \[ F(t) = \frac{\text{Cumulative Failures at } t}{\text{Total Failures (40)}} \] | Operating Time (hrs) | Cumulative Failures | \(F(t)\) | |----------------------|----------------------|----------| | 0 - 5 | 5 | 5/40 = 0.125 | | 5 - 10 | ___ _____ _____ ______ _____ ________ _____ ________ __________ __________.
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A system has seven independent components and reliability block diagram of it shown blow:
Find reliability of the system.
A two-person zero-sum game having the following payoff matrix for player A
(i) Check whether saddle point exit or not.
(ii) If saddle point does not exit then determine optimal strategies for both the manufacturers and value of the game.
At a call omtre, callers have to wait till an operator is ready to take their call. To monitor this process, 5 calls were recorded every hour for the S-hour working day. The data below shows the waiting time in seconds:
| Time | Sample Number | ||||
| 1 | 2 | 3 | 4 | 5 | |
| 9 a.m | 8 | 9 | 15 | 4 | 11 |
| 10 | 7 | 10 | 7 | 6 | 8 |
| 11 | 11 | 12 | 10 | 9 | 10 |
| 12 | 12 | 8 | 6 | 9 | 12 |
| 1 p.m. | 11 | 10 | 6 | 14 | 11 |
| 2 | 7 | 7 | 10 | 4 | 11 |
| 3 | 10 | 7 | 4 | 10 | 10 |
| 4 | 8 | 11 | 11 | 11 | 7 |
The failure data for 40 electronic components is shown below:
| Operating Time (in hours) | 0-5 | 5-10 | 10-15 | 15-20 | 20-25 | 25-30 |
| Number of Failures | 5 | 7 | 6 | 4 | 5 | 4 |
| Operating Time (in hours) | 30-35 | 35-40 | 40-45 | 45-50 | ≥50 | |
| Number of Failures | 4 | 0 | 2 | 1 | 2 |
Twenty saraples each of size 10 were inspected. The number of defectives detected in cach of them is given below: : 0, 1, 0, 3, 9, 2, 0, 7, 0, 1, 1, 0, 0, 3, 1, 0, 0, 2, 1, 0 Find the control limits for the number of defectives and establish quality standards for the future. Plot the graph and interpost.
An office supply company ordered a lot of 400 printers. When the lot arrives the company inspector will randomly inspect 12 printers. If more than three printers in the sample are non-conforming, the lot will be rejected. If fewer than two printers are non-conforming the lot will be accepted. Otherwise, a second sample of size 5 will be taken. Suppose the inspector finds two non-conforming printers in the first sample and two in the second saraple. Also AQI. and LTPD at 0.05 and 0.10 respectively. Let incoming quality be 4%
i) What is the probability of accepting the lot at the first sample?
ii) What is the probability of accepting the lot at the second sample?
iii) Find AQL and ATI
State whether the following statements are True or False. Give reason in support of your
(a) Statistical quality control (SQC) is a technique of process control only.
(b) 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 np-chart.
(c) If the probabilities are not associated with the occurence of different states of nature, then the situation is known as decision making under risk.
(d) In single sampling plan, if we increase acceptance number then the OC curve will be steeper.
(e) A system has four components connected in parallel configuration with reliability 0.4, 0.5, 0.8 To improve the reliability of the system most, we have to replace the component which reliability is 0.2.