Question
Differentiate between the autoregressive and moving average models of time series.
A system has seven independent components and reliability block diagram of it shown as follows:
Find reliability of the system.
At a call centre, 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 8-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 |
(i) Use the data to construct control charts for mean and comments about the
process. If process is out of control, then calculate the revised control limits.
(ii) Construct the CUSUM chart when the process is under control and draw the conclusion about the process.
(iii) If the specification limits as the 8±2, then calculate the process capability index Cpk and impetrate the result.
(iv) Also find the percentage of calls lie outside the specification limits assuming that calls follow the normal distribution.
State whether the following statements are True or False. Give reason in support of your answer:
(i) The R- chart is suitable when subgroup size is greater than 10.
(ii) In single sampling plan, if we increase acceptance number then the OC curve will be steeper.
(iii) If the effect of summer and winter is not constant on the sale of AC then we use the additive model of the time series.
(iv) If a researcher wants to find the relationship between today’s unemployment and that of 5 years ago without considering what happens in between then the partial autocorrelation is the better way in comparison to autocorrelation.
(v) A system has four components connected in parallel configuration with
reliability 0.2, 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.
) The marketing manager of a company recorded the number of mobiles sold quarterly for which are given in the following table:
Year | Quarter | ||||
2018 | 48 | 41 | 60 | 65 | |
2019 | 58 | 52 | 68 | 74 | |
2020 | 60 | 56 | 75 | 78 |
(i) Find the quarterly seasonal indexes for the mobile sold using the ratio to trend method.
(ii) Do seasonal forces significantly influence the sale of mobile? Comment.
(iii) Also find the deseasonalised values.
Consider the time series model
where
(i) Is this a stationary time series?
(ii) What are the mean and variance of the time series?
(iii) Calculate the autocorrelation function.
(iv) Plot the correlogram.
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 nonconforming, the lot will be accepted. Otherwise, a second sample of size 8 will be
taken. Suppose the inspector finds two non-conforming 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 is the probability of accepting the lot at the first sample?
(ii) What is the probability of accepting the lot at the second sample?
A manufacturer of men’s jeans purchases zippers in lots of 500. The jeans manufacturer uses single-sample acceptance sampling with a sample size of 10 to determine whether to accept the lot. The manufacturer uses c = 2 as the acceptance number. Suppose 3% nonconforming zippers are acceptable to the manufacturer and 8% nonconforming zippers are not acceptable. Find
(i) Probability of accepting a lot of incoming quality 0.04.
(ii) Average outing quality (AOQ), if the rejected lots are screened and all defective zippers are replaced by non-defectives.
(iii) Average total inspection (ATI).
IGNOU Doubts & Queries
Click to Contact Us
Call - 9199852182 Call - 9852900088 myabhasolutions@gmail.com WhatsApp - 9852900088