Statistics | GCUF

Second Floor, Zakir Hussain Block, Old Campus
041-9201461
stat@gcuf.edu.pk

Scheme of Studies

Course Outlines

Vision

To disseminate quality education and produce quality research in different areas of Statistics and to produce highly skilled professional, scholars and researchers equipped with adequate knowledge of statistics to meetthe contemporary and futurechallenges.

Mission

The mission of the Department of Statistics is to contribute to the overall objectives of the Government College University, Faisalabad and the Affiliated Colleges, Science, and the Arts through excellence in research and education in the Statistical Sciences and through service to the university community, statistical profession, and society at large.The proliferation of quantitative information in society demands that we help to develop the next generation of statistics professionals while increasing the statistical literacy of our students and the frequency of collaboration with our colleagues.

Introduction

Statistical methods and the application of probability theory are essential to the understanding of data and underlying processes in a very wide variety of fields, including health sciences, economics and finance, social science,government, engineering, biological and physical sciences. In Government College, Faisalabad the Department of Statistics was established in 1960. Initially intermediate and degree classes were started. In October, 2002 the college was upgraded to University and a 2 year Master degree program was launched in September, 2003. BS (Hons.) a 4 year degree program was launched in September, 2005; the Department took the initiative of launching the MPhil (Statistics) program in 2012. Currently 250 students are enrolled in different programs being offered by the Department of Statistics.

Statistical computations contribute as a major player to meet the demand of the students and requirements of extended research activities in the graduate and post graduate courses. Statistics is considerably more applied and vocational than many other courses. It aims to produce students who can immediately work as applied statisticians. Whereas all theoretical concepts are covered, the emphasis throughout is on applying and adapting it to real-life circumstances. The analysis of real data sets constitutes the core of the courses and pivotal role of the computer as a powerful tool in modern statistics is constantly emphasized throughout the programs being offered. Weekly assignments/practical work makes extensive use of standard statistical packages including Minitab, SPSS, EViews, R, Mathematica, Design Expert etc. The graduated students are employed in reputable Public and private sector organizations like Federal and Provincial Bureaus of Statistics, National Universities, State Bank of Pakistan, Pharmaceutical Industries, Government offices, Commercial Banks, and many other firms and organizations.

For BS/MSc Level (Single Course)

Course Title: Introduction to Statistical Theory

Course Code: STA-321

Introduction and scope of statistics, Types of variables, Types of data and methods of data collection, Scales of measurement, Construction of frequency distribution, Measures of central tendency: mean, median and mode. Measures of dispersion: range, variance, standard deviation, and coefficients of variation. Simple linear regression and correlation. Concepts of sampling techniques (simple random sampling, stratified sampling, cluster sampling and systematic sampling, judgement and quota sampling). Hypothesis testing: Z-test and t-test for single and difference between mean, Paired sample t-test, Chi-square test of independence.

For BS/MSc Level (Double Course)

Course Title: Introduction to Statistical Theory-I

Course Code: STA-322

Introduction and scope of statistics, Types of variables, Types of data and methods of data collection, Scales of measurement, Construction of frequency distribution. Measures of central tendency: mean, median and mode. Measures of dispersion: range, variance, standard deviation, and coefficients of variation. Introduction to probability and laws of probability, Probability distributions: Binomial, and normal distributions, Simple linear regression and correlation

Course Title: Introduction to Statistical Theory-II

Course Code: STA-323

Concepts of sampling techniques (simple random sampling, stratified sampling, cluster sampling and systematic sampling, judgement and quota samplings), Hypothesis testing, Z-test and t-test for single and difference between means (independent and paired), Chi-square test of independence, One way and two way analysis of variance.

For M.Phil./Ph.D. Level

Course Title: Statistics for Research

Course Code: STA-795

Introduction and scope of statistics, Basic concepts of statistics, Different types of variables, types of data and methods of data collection, Scales of measurement, Data arrangement and presentation, Measures of central tendency: mean, median and mode and quantiles. Measures of dispersion: range, variance, standard deviation, and coefficients of variation, Correlation, simple and multiple regression, Types of Sampling, Concept of Sampling Distribution, Hypothesis testing: Z-test and t-test for single and difference between mean and proportion, Paired sample t-test, Chi-square test of independence, One way and two way analysis of variance and multiple comparison tests

Practical:

Application of above mentioned concepts in SPSS and/or Minitab

Semester 1
STA-301	Introduction to Statistics	4(3-1)
CSI-321	Introduction to Computing Applications	3(3-0)
MTH-321	Mathematics-I	3(3-0)
ENG-321	Functional English	3(3-0)
ISL-321	Islamic Studies /Ethics	2(2-0)
Semester 2
STA-302	Introduction to Probability Distributions	4(3-1)
MTH-322	Mathematics-II	3(3-0)
PST-321	Pakistan Studies	2(2-0)
ECO-321	Introductory Economics	4(4-0)
ENG-322	English Comprehension and Composition	3(3-0)
Semester 3
STA-401	Basic Statistical Inference	4(3-1)
CSI-301	Programming Fundamentals	4(3-1)
MTH-433	Mathematical Methods & Vector Analysis	4(4-0)
ECO-408	Issues in Pakistan Economy	3(3-0)
ENG-421	Communication Skills	3(3-0)
Semester 4
STA-402	Introduction to Regression analysis, ANOVA and ANCOVA	4(3-1)
STA-404	Applied Statistics	4(3-1)
STA-406	Statistical Software-I	3(0-3)
MTH-436	Linear Programming	4(4-0)
Semester 5
STA-501	Probability and Probability Distributions-I	3(3-0)
STA-503	Sampling Techniques-I	3(3-0)
CSI-509	Introduction to Database Systems	3(1-2)
STA-505	Statistical Methods	4(4-0)
STA-507	Operational Research	3(3-0)
Semester 6
STA-502	Probability and Probability Distributions-II	3(3-0)
STA-504	Sampling Techniques-II	3(3-0)
STA-506	Design and Analysis of Experiments-I	4(4-0)
STA-508	Population Studies	2(2-0)
STA-510	Statistical Quality Control	3(3-0)
	OR
STA-512	Non Parametric Methods	3(3-0)
STA-514	Survey Research Methods	3(3-0)
Semester 7
STA-601	Econometrics-I	4(4-0)
STA-603	Design and Analysis of Experiments-II	4(4-0)
STA-605	Multivariate Analysis-I	3(3-0)
STA-607	Statistical Inference - I	3(3-0)
STA-629	Seminar	1(0-1)
STA-611	Statistical Software-II	3(0-3)
Semester 8
STA-602	Econometrics-II	4(4-0)
STA-604	Statistical Software - III	3(0-3)
STA-606	Multivariate Analysis-II	3(3-0)
STA-608	Statistical Inference - II	3(3-0)
STA-630	Research Report	4(0-4)
	OR Any One of The Following Courses
STA-612	Analysis of Time Series and Forecasting	4(4-0)
STA-614	Categorical Data Analysis	4(4-0)
STA-616	Survival Data Analysis	4(4-0)

Semester 1
STA-551	Probability and Probability Distributions-I	3(3-0)
STA-553	Sampling Techniques-I	3(3-0)
CSI-321	Introduction to Computing Applications	3(1-2)
STA-555	Statistical Methods	4(4-0)
STA-557	Operational Research	3(3-0)
Semester 2
STA-552	Probability and Probability Distributions-II	3(3-0)
STA-554	Sampling Techniques-II	3(3-0)
STA-556	Design and Analysis of Experiments-I	4(4-0)
STA-558	Population Studies	2(2-0)
STA-560	Statistical Quality Control	3(3-0)
	OR
STA-562	Non Parametric Methods	3(3-0)
STA-564	Survey Research Methods	3(3-0)
Semester 3
STA-651	Econometrics-I	4(4-0)
STA-653	Design and Analysis of Experiments-II	4(4-0)
STA-655	Multivariate Analysis-I	3(3-0)
STA-657	Statistical Inference - I	3(3-0)
STA-629	Seminar	1(0-1)
STA-661	Statistical Software - I	3(0-3)
Semester 4
STA-652	Econometrics-II	4(4-0)
STA-654	Statistical Software - II	3(0-3)
STA-656	Multivariate Analysis-II	3(3-0)
STA-658	Statistical Inference - II	3(3-0)
STA-680	Research Report	4(0-4)
	OR Any One of The Following Courses
STA-662	Analysis of Time Series and Forecasting	4(4-0)
STA-664	Categorical Data Analysis	4(4-0)
STA-666	Survival Data Analysis	4(4-0)

Year-I (Course Work) (course comprising 12 credit hours are to be selected in each Semester of Year -I)
STA-701	Advanced Sampling Techniques	3(3-0)
STA-702	Multivariate Analysis	3(3-0)
STA-703	Probability Distributions	3(3-0)
STA-704	Advanced Design of Experiments	3(3-0)
STA-705	Linear Models and Regression Analysis	3(3-0)
STA-706	Research Methods	3(3-0)
STA-707	Optimization Techniques	3(3-0)
STA-708	Bayesian Analysis	3(3-0)
STA-709	Advanced Econometric Analysis	3(3-0)
STA-710	Generalized Linear Models	3(3-0)
STA-711	Advanced Probability Theory	3(3-0)
STA-712	Statistical Inference	3(3-0)
STA-713	Categorical Data Analysis	3(3-0)
STA-714	Survival Data Analysis	3(3-0)
STA-715	Time Series and Forecasting	3(3-0)
STA-716	Biostatistics	3(3-0)
STA-717	Population Analysis and Official Statistics	3(3-0)
STA-718	Advanced Response Surface Methodology	3(3-0)
STA-719	Applied Stochastic Models	3(3-0)
STA-720	Bayesian Decision Theory	3(3-0)
STA-721	Mixture Distributions	3(3-0)
STA-722	Advanced Statistical Computing	3(3-0)
STA-723	Non-Parametric and Robust Methods	3(3-0)
Semester 3 & 4
STA-728	Seminar	1(1-0)
STA-730	Thesis	6(0-6)

Government College University Faisalabad

Department of Statistics