Statistical packages(Stat 328)
Course outline
STAT 328 (Statistical Packages) 3 credit hours
Instructor: Dr. Majdy Najy Ahmed
Office: 2B20 Building #4, Phone (office): 4676270
Room: 2B 28 Building #4
E-mail: mnaji@ksu.edu.sa
Text Books:
- Minitab Guide, Second Edition Desmond J. Higham and Nicholas J. Higham A-Jin Publishing Company. Latest version
- Excel 2010 guide to accompany understanding basic statistics
sixth edition
- SPSS Guide to Data Analysis by Marija Norse’s. . Latest version
- Hector Guerrero. Excel Data Analysis: Modeling and Simulation, Springer. . Latest version
- SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM Spss. Latest version
- Alain F. Zuur l Elena N. Ieno Erik H.W.G. Meesters. A Beginner’s Guide to R, Springer. Latest version
Course Scope Contents:
Using program code in a statistical software package (Excel – Minitab – SAS – SPSS - R) to write a program for data and statistical analysis. Topics include creating and managing data files, graphical presentation - and Monte Carlo simulations.
Topics Covered
Week1: Introduction to statistical analysis using excel.
Week2: Some mathematical and logical functions in Excel.
Week3: Descriptive statistics using excel.
Week4: Statistical tests using excel.
Week5: Correlation and regression using excel.
Week6: Introduction to Minitab - Descriptive statistics using Minitab.
Week7: Statistical distributions in Minitab.
Week8: Statistical tests using Minitab.
Week9: Correlation and regression using Minitab.
Week10: Introduction to SPSS - Descriptive statistics using SPSS.
Week11: Statistical tests using SPSS - Correlation and regression using SPSS.
Week12: Introduction to R - Statistical and mathematical functions in R.
Week13: Descriptive statistics using R - Statistical distributions in R.
Week14: Statistical tests using R - Correlation and regression using R.
Week15: Applications, Programming and simulation in R.