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
Textbooks
Week |
Topics and Readings |
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)