Practical

Paper Code: 
STT-424
Credits: 
4
Contact Hours: 
120.00
Max. Marks: 
100.00
Objective: 

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

 

 

  1. Practical based on paper STT-421
  2. Practical Based on opted paper STT-422
  3. Practical Based on opted paper STT-423

 

 

 

Note: Practical exercises will be conducted on computer by using MS-Excel/SPSS/R.

Academic Year: