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 Code |
Paper Title |
|||
STT-424 |
Practical |
CO 118: To understand and calculate variable and attribute control charts and judges the process quality.
CO 119: To understand and calculate probabilities associated to single and double sampling plans, including AQL, LQL, consumer’s and producer’s risks, OC, ASN.
CO 120: To give judgment of quality issues of process and product and to rectify them using control charts and acceptance sampling plans.
CO 121: To understand the concept, formulation and application of index numbers. CO 122: To construct simple and weighted price, quantity, and value indexes and interpret them to identify trends in a data set. CO 123: To use the consumer price index to determine the purchasing power of the money CO 124: To shift the base to make two series comparable and splice an old series with a new series of index numbers. CO 125: To understand the concept of time series, its components and their estimation.
CO 126: To apply ideas to real time series data and interpret outcomes of analyses.
CO 127: 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.