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Processing and analyzing data

Course Description: Introduction to Data Analysis - Introduction to Statistical Packages - Data Recording - Study of Descriptive and Quantitative Variables - Graphical Design of Data - Study of a Single Sample and a Double Sample - Descriptive and Quantitative Correlation Coefficient - Analysis of Variance - Regression Analysis - Logistic Regression Analysis - K-Means Clustering Technique - Time Series Analysis. Note: This course primarily relies on statistical packages - Minitab, SAS, SPSS.
Credit hours: 3
Prerequisites: 321 STAT
Objectives of the course :

This course aims to introduce data analysis methods and how to use some ready-made packages to solve statistical problems.

Course outputs :

Acquiring knowledge by learning data analysis methods for both descriptive and quantitative data, and using relevant packages and software. Enhancing the ability to study random variables, whether descriptive or quantitative, that describe economic, social, scientific problems, disasters, etc. Gaining cognitive skills through thinking based on the concept of prediction and solving some life problems. Raising the ability to pursue advanced studies when needed in the field of prediction in general, and data classification and analysis. Acquiring computer usage skills.

Additional information:

Concepts of Statistical Analysis Methods, Dr. Mahmoud Mohamed Hindi, Dr. Khalaf Salman Sultan Salman – Al-Rushd Library - 1425 AH.
.Intermediate Statistical Methods and Applications By: M. L. Berenson et. al. Prentice Hall.

  • Last updated: 2026-06-03

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