Exam Details

Subject industrial statistics
Paper
Exam / Course m.sc. (statistics)
Department
Organization solapur university
Position
Exam Date November, 2017
City, State maharashtra, solapur


Question Paper

M.Sc. (Semester IV) (CBCS) Examination Oct/Nov-2017
Statistics
INDUSTRIAL STATISTICS
Day Date: Monday, 20-11-2017 Max. Marks: 70
Time: 02.30 PM to 05.00 PM
Instructions: Attempt five questions.
Question No. 1 and 2 are compulsory
Attempt any 3 questions from Q.No.3 to Q.No.7
Figures to the right indicate full marks.
Q.1 Choose the correct alternatives 05
The usual purpose of R chart is to signal whether there has been
Change in the percent defective in a sample
Gain or loss in dispersion
Change in central tendency of the process output
Change in number of defects in a sample
Which of the following is desirable case of process capability ratio?
1 0
1 0 1
Which of the following is true regarding the relationship between AOQ
and the true population percent defective?
AOQ is greater than true percent defective
AOQ is same as true percent defective
AOQ is less than true percent defective
There is no relationship between AOQ and true percent defective
Which of the following tool is used to evaluate the distribution of data
over different categories?
Histogram
Defect concentration diagram
Pareto chart
Check sheet
The performance measure of c and u charts is based on the
assumption that the occurrence of nonconformities follows
distribution.
Geometric Binomial
Normal Poisson
Fill in the blanks. 05
For Shewhart control chart, appropriate distribution of run length is

An index was introduced by
Memory type control charts are developed specifically for detecting
shifts efficiently.
In a demerit system, the unit have reduced life time is classified as
type defect.
An out of control signal given by a control chart when the process is
actually in control, is called
Page 2 of 2
SLR-MS-670
State whether following statements are true or false: 04
Control chart is an off-line process control tool.
Normality assumption of population data is made for index.
Pareto chart identifies most significant problems to be worked first.
Quality is directly proportional to variability.
Q.2 Define type I and type II errors relative to control charts. 06
Explain Ishikawa diagram with suitable example.
Write short notes on the following: 08
Pareto Chart
Demerit system
Q.3 Outline the steps involved in the constructions of and S charts. 07
Discuss various definitions of quality and various dimensions of quality. 07
Q.4 Describe construction operation and underlying statistical principle of p
chart.
07
Explain V-mask method of implementing CUSUM chart for mean. 07
Q.5 Explain the assumptions, construction and operation of Hotelling's
chart.
07
Discuss nonparametric signed-rank control chart for process location. 07
Q.6 Define process capability indices and . Obtain − level
confidence interval for .
07
Describe DMAIC with reference to six-sigma. 07
Q.7 Describe double sampling plan for attributes and obtain ASN of the same. 07
Describe variable sampling plan when both lower and upper specifications
are given and standard deviation is known.


Subjects

  • asymptotic inference
  • clinical trials
  • discrete data analysis
  • distribution theory
  • estimation theory
  • industrial statistics
  • linear algebra
  • linear models
  • multivariate analysis
  • optimization techniques
  • planning and analysis of industrial experiments
  • probability theory
  • real analysis
  • regression analysis
  • reliability and survival analysis
  • sampling theory
  • statistical computing
  • statistical methods (oet)
  • stochastic processes
  • theory of testing of hypotheses
  • time series analysis