قسم علم البيئة والمحيط

https://www.univ-soukahras.dz/ar/dept/eco-env

المحاضر	محسن مناع
معلومات	ماستر - علم البيئة الأساسي والتطبيقي قسم علم البيئة والمحيط الموقع : https://www.univ-soukahras.dz/ar/module/3583 السداسي : S2 الوحدة : UEM1 الدين : 3 المعامل: 2
المحتوى	Learning objectives (Describe the skills the student is expected to have acquired upon successful completion of this course - maximum 3 lines): To master statistical tools and data analysis. Recommended prerequisites (Brief description of the knowledge required to take this course - Maximum 2 lines): Basic knowledge of statistics. Course content (Must indicate the detailed content of the in-person program and personal work): The content of this course includes advanced statistical methods and techniques for data analysis, such as regression analysis, analysis of variance (ANOVA), nonparametric statistics, and multivariate analysis. Students will also learn to use statistical software for data analysis. The course involves both theoretical instruction and practical exercises, including data analysis projects and interpretation of results. Subject Content (must indicate detailed content of in-person program and personal work) APPLIED DATA ANALYSIS Statistical Inference in One and Two Dimensions -Part One- PRELIMINARY CONCEPTS Chapter 1: Choosing a Statistical Analysis Method 1.1. Introduction 1.2. Factors for Choosing a Statistical Analysis Method Chapter 2: Conditions for Applying Statistical Methods and Initial Data Examination 2.1. Introduction 2.2. Conditions for Applying Statistical Methods 2.3. Initial Data Examination 2.4. Some Tests for Assessing Randomness and Simplicity of a Data Series Chapter 3: Goodness-of-Fit and Normality Tests, and Outliers 3.1. Introduction 3.2. Tests for Assessing Specific Parameter Conformity 3.3. Identification of Outliers 3.4. Handling Two-Dimensional Data Chapter 4: Variable Transformations 4.1. Introduction 4.2. Basic Principles and Logarithmic Transformation 4.3. Major Transformations 4.4. Choosing a Transformation -Part Two- METHODS RELATED TO MEANS AND DISPERSION Chapter 5: Methods Related to Dispersion 5.1. Introduction 5.2. Estimation and Confidence Intervals for Dispersion Parameters 5.3. Tests for Dispersion Parameter Conformity 5.4. Comparison of Two Populations 5.5. Comparison of More Than Two Populations Chapter 6: Methods Related to One or Two Means 6.1. Introduction 6.2. Estimation and Confidence Interval for a Mean 6.3. Tests for Conformity of a Mean 6.4. Comparison of Two Means in Independent Samples 6.5. Comparison of Two Means in Dependent Samples Chapter 7: Analysis of Variance (ANOVA) with Single Classification Criterion 7.1. Introduction 7.2. Descriptive Aspects 7.3. Inferential Aspects 7.4. Power and Determination of Sample Sizes Chapter 8: Analysis of Variance with Two Classification Criteria 8.1. Introduction 8.2. Balanced Crossed Models 8.3. Unbalanced Crossed Models 8.4. Hierarchical Models 8.5. Power and Determination of Sample Sizes -Part Three- TWO-DIMENSIONAL STATISTICAL INFERENCE Chapter 9: Methods Related to Simple Correlation 9.1. Introduction 9.2. Sampling Distributions 9.3. Estimation and Confidence Interval for a Correlation Coefficient 9.4. Tests for Conformity and Significance of a Correlation Coefficient 9.5. Comparison of Two or More Correlation Coefficients Chapter 10: Methods Related to Simple Linear Regression 10.1. Introduction 10.2. Sampling Distributions 10.3. Fitting and Validation of Least Squares Regression Line 10.4. Estimation using Least Squares Regression Line 10.5. Tests for Conformity, Significance, and Linearity of Least Squares Regression Lines 10.6. Comparison of Two or More Least Squares Regression Lines 10.7. Ordinary Least Squares Line (General Concept) Personal Work: Application Exercises + Report Assessment Method: Continuous Assessment, Exam, etc. (Weighting is at the discretion of the training team) References (Books, Course Notes, Websites, etc.): \"Statistique théorique et appliquée, volume 2\" by P. Dagnelie, Ed. Université de Boeck Larcier, 545p.
التقييم	Contrôle continu, examen, etc…(La pondération est laissée à l’appréciation de l’équipe de formation)