Statistical Packages

This course is designed for students to analyze data for their thesis or dissertation and other purpose. Through this course, the student will become and adept user of Minitab, SPSS, and R. These statistical package widely used within Sciences, Engineering, Medical Sciences and other fields.

Learning outcomes

  • Students will learn basics of these software’s for reading data, processing and transforming data, descriptive analysis, and visualization data.
  • Students will learn how to document research work and make the work replicable.
  • This course will not teach statistics, but will enable students to become familiar with a powerful and widely-used program for data management and analysis.

Textbooks

  1. Bassi, I. (2007). Six Sigma Statistics with Excel and Minitab. McGraw Hill, New York.
  2. Lesik, S.A. (2009). Applied Statistical Inference with Minitab. CRC Press, New York.
  3. Rajathi, A. and Chandran, P. (2015). SPSS for You. MJP Publisher, India.
  4. Colin D. Gray and Paul R. Kinnear, IBM SPSS statistics 19 made simple. Publisher: New York: Psychology Press, 2012.
  5. Kerr A. W., Hall, H. K., and Kozub, S. A. (2002) Doing Statistics with SPSS. Sage Publications.
  6. Ruskeepaa, H. (2009). Mathematica Navigator: Mathematics, Statistics and Graphics, 3rd Edition. UK.
  7. Ryan, Barbara F.; Joiner, Brian L. and Cryer, Jonathan D.(2005) MINITAB Handbook, 5th Edition, Duxbury Press, California

Distribution of Marks:

Mid Exam:           30
Final exam:         50
Sessional (Assignment,Presentation,Participation,Attendance,Quizes)    20

Scheduled on:      
BS (SS):     Monday(12:30-2:00)     Friday(12:30-2:00)

Week Topics and Readings
1 Introduction to Minitab
2 Importing and preparing data, Repeat an analysis with Minitab
3 Descriptive Statistics and Graphical representation of data with Minitab
4 Estimation and Testing of the hypothesis of univariate and bivariate data sets with Minitab
5 Regression analysis and Analysis of variance with Minitab
6 Time series analysis and forecasting with Minitab
7 Introduction to EViews
8 Regression analysis with EViews
9 Time series analysis and forecasting with EViews
10 Introduction to SPSS
11 Variable naming and Data entry in SPSS
12 Descriptive analysis and Graphical representation of qualitative and quantitative univariate, bivariate and multivariate data sets
13 Estimation and Testing of the hypothesis of univariate and bivariate data sets with SPSS
14 Regression analysis with SPSS
15 Introduction to R, Variable naming and Data entry in R
16 Descriptive Statistics and Graphical representation of a data with R

Course Material

Other Courses by Ms. Sadia Qamar