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IGNOU MST-14
- Statistical Quality Control and Time Series Analysis,
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(July 2024 - December 2024)

MST-14 Assignment

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IGNOU MST-14 July 2024 - December 2024 - Solved Assignment

Are you looking to download a PDF soft copy of the Solved Assignment MST-14 - Statistical Quality Control and Time Series Analysis? Then GullyBaba is the right place for you. We have the Assignment available in English language.

This particular Assignment references the syllabus chosen for the subject of Applied Statistics, for the July 2024 - December 2024 session. The code for the assignment is MST-14 and it is often used by students who are enrolled in the MSCAST Degree.

Once students have paid for the Assignment, they can Instantly Download to their PC, Laptop or Mobile Devices in soft copy as a PDF format. After studying the contents of this Assignment, students will have a better grasp of the subject and will be able to prepare for their upcoming tests.

IGNOU MST-14 (July 2024 - December 2024) Assignment Questions

1. (a) 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.

(b) Differentiate between the autoregressive and moving average models of time series.

2(a) 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).

(b) 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?

3(a) A system has seven independent components and reliability block diagram of it shown as follows:

Find reliability of the system.

(b) The failure data for 40 electronic components is shown below:

Estimate the reliability, cumulative failure distribution, failure density and failure rate functions.

4. 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:

(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.

5(a) Consider the time series model

(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.

(b) The marketing manager of a company recorded the number of mobiles sold quarterly for which are given in the following table:

(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.

MST-14 Assignment Details

  • University IGNOU (Indira Gandhi National Open University)
  • Title Statistical Quality Control and Time Series Analysis
  • Language(s) English
  • Session July 2024 - December 2024
  • Code MST-14
  • Subject Applied Statistics
  • Degree(s) MSCAST
  • Course Core Courses (CC)
  • Author Gullybaba.com Panel
  • Publisher Gullybaba Publishing House Pvt. Ltd.

Assignment Submission End Date

The IGNOU open learning format requires students to submit study Assignments. Here is the final end date of the submission of this particular assignment according to the university calendar.

  • 30th April (if Enrolled in the June Exams)
  • 31st October (if Enrolled in the December Exams).

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English Language

  • July 2024 - December 2024 20 Pages (0.00 ), PDF Format SKU: IGNGB-AS-MSC-MST14-EN-461

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  • Available for 3 Times for Download.
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  • Print Ready Format: A4 (21 x 29 x .20 cm (Width x Length x Height)

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