### Statistical Packages (STAT-6210 )

Introduction

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, R, and Mathematica. 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

Week

## Books

1

Introduction to statistical packages, Data Analysis with MS-Excel

Six Sigma Statistics with Excel and Minitab (33-37)

2

Data Analysis with MS-Excel

Six Sigma Statistics with Excel and Minitab (41-68)

3

Introduction to Minitab 17

Six Sigma Statistics with Excel and Minitab (23-32)

4  Variables description, new files, save files, mathematical operations with Minitab Applied Statistical Inference with Minitab (2-12)

5

Matrices manipulation with Minitab

MINITAB Handbook

6

Descriptive Statistics and Graphical representation of a data with Minitab

Applied Statistical Inference with Minitab (15-74)

7

Estimation and testing of hypothesis of univariate and bivariate data sets with Minitab

Applied Statistical Inference with Minitab (83-153)

8

Regression Analysis with Minitab

Applied Statistical Inference with Minitab (155-303)

9

Analysis of Variance with Minitab

Applied Statistical Inference with Minitab (307-348)

10

Time Series analysis and Forecasting with Minitab

MINITAB Handbook

11

Statistical Quality Control with Minitab

Six Sigma Statistics with Excel and Minitab (145-169)

12

Introduction to SPSS 22, Variable naming and Data entry in SPSS 22

SPSS for You (23-38)

13

Descriptive analysis and graphical representation of qualitative and quantitative univariate, bivariate and multivariate data sets

SPSS for You (39-74)

14

Estimation and testing of hypothesis of univariate and bivariate data sets with Minitab

SPSS for You (75-91)

15

Regression Analysis with SPSS

SPSS for You (142-155)

16

Overview of Mathematica and Descriptive Analysis with Mathematica

Mathematica Navigator: Mathematics, Statistics and Graphics (1-10, 45-60).

Description of system of Evaluation

Exam: Mid (30%), Final (50%), Sessional (20%): Assignments, Class Participation, Presentations, Quizes

Lecture Time: Tuseday (8:00 AM to 9:00 PM), Wensday (1:00 PM-2:00PM), Thursday (1:00 PM-2:00PM), Friday (9:00 AM-10:00 AM)