stat 328

Course outline
STAT 328 (Statistical Packages) 3 credit hours

Instructor:  Prof. Khalaf S. Sultan
Office:  2B20 Building #4,  Phone (office): 4676263
Room:    AB17 Building #4
 E-mail:  ksultan@ksu.edu.sa       
Text Books: 
1.Minitab Guide, Second Edition Desmond J. Higham and Nicholas J. Higham A-Jin Publishing Company. . Latest version
2.      SPSS Guide to Data Analysis by Marija Norusis. . Latest version
3.      Hector Guerrero. Excel Data Analysis: Modeling and Simulation,  Springer. . Latest version
4.      SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM Spss. Latest version
5.      Alain F. Zuur l Elena N. Ieno lErik 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 - Maple - Matlab) to write a program for data and statistical analysis.  Topics include creating and managing data files, graphical presentation - and Monte Carlo simulations.

Week Date  
Topics Covered
 
1 26/12/1438  Introduction to statistical analysis using excel
2 4/1/1439 Some mathematical, statistical and logical functions in excel
3 11/1/1439 Descriptive statistics using excel
4 18/1/1439 Statistical tests using excel
5 25/1/1439 Correlation and regression using excel
6 2/2/1439 Introduction to Minitab- Descriptive statistics using Minitab
7 9/2/1439 Statistical distributions in Minitab
8 16/2/1439 Statistical tests using Minitab
    Correlation and regression using Minitab
Mid-1 exam  18/2/1439 Tuesday, 7:00- 8:30 pm
9 23/2/1439 Introduction to SPSS
10 1/3/1439 Descriptive statistics using SPSS
11 8/3/1439 Statistical tests using SPSS
12 15/3/1439 Correlation and regression using SPSS
13 22/3/1439 Introduction to R
    Statistical and mathematical functions in R
    Descriptive statistics using R
Mid-2 exam  24/3/1439 Tuesday, 7:00- 8:30 pm
14 29/3/1439 Statistical distributions in R
    Statistical tests using R
15 6/4/1439 Correlation and regression using R
    Programming and  simulation in R
Final exam  15/4/1439 Tuesday, 1:00- 4:00 pm

 
Assignments and Tests:

Assignments and Labs Will be given during the classes 10 marks
Midterm test I Mid-1 exam  18/2/1439 Tuesday, 7:00- 8:30 pm 25 marks
Midterm test II Mid-2 exam  24/3/1439 Tuesday, 7:00- 8:30 pm 25 marks
Final Exam Final exam  15/4/1439 Tuesday, 1:00- 4:00 pm 40 marks

Attendance:
Student missing more than 25% of the total class hours won't be allowed to write the final exam.  

Course Materials