This paper is designed so that the student get familiar with statistical software for solving the statistical problems based on Statistical quality control, time series data and index number.
Course |
Learning outcomes (at course level) |
Learning and teaching strategies |
Assessment Strategies |
||||
---|---|---|---|---|---|---|---|
Paper Title |
|||||||
Practical (Practical)
|
The students will be able to –
CO118: To understand and calculate variable and attribute control charts and judges the process quality. CO119: To understand and calculate probabilities associated to single and double sampling plans, including AQL, LQL, consumer’s and producer’s risks, OC, ASN. CO120: To give judgment of quality issues of process and product and to rectify them using control charts and acceptance sampling plans. CO121: To understand the concept, formulation and application of index numbers. CO122: To construct simple and weighted price, quantity, and value indexes and interpret them to identify trends in a data set. CO123: To use the consumer price index to determine the purchasing power of the money CO124: To shift the base to make two series comparable and splice an old series with a new series of index numbers. CO125: To understand the concept of time series, its components and their estimation. CO126: To apply ideas to real time series data and interpret outcomes of analyses. CO127: To be able to estimate models for time-series data. |
Approach in teaching:
Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students:
Assignments Seminar Presentation Subject based Activities
|
Classroom Quiz Assignments Class Test Individual Presentation
|
Note: Practical exercises will be conducted on computer by using MS-Excel/SPSS/R.