Department of Biological Sciences

https://www.univ-soukahras.dz/en/dept/bio

Lecturer	Mohcen MENAA
Information	Master - Plant biology and environment Department of Biological Sciences Website : https://www.univ-soukahras.dz/en/module/3568 Semester : S2 Unit : M1BVE Credit : 3 Coefficient: 2
Content	Chapter1 : Choosing a statistical analysis method 1.1 Introduction 1.2. Factors in choosing a statistical analysis method. Chapter 2: Conditions of application of statistical methods and initial examination of data 2.1 Introduction 2.2. Conditions for the application of statistical methods. 2.3. Initial examination of data. 2.4. Some tests of the randomness and simplicity of a series of observations. Chapter 3: Fit and normality tests and outliers. 3.1 Introduction 3.2. Compliance tests for a few specific parameters. 3.3. Identifying outliers. 3.4. The case of two-dimensional data. Chapter 4: Transformations of variables 4.1 Introduction 4.2. Basic principles and logarithmic transformation. 4.3. The main transformations. 4.4. Choosing a transformation. Chapter 5: Dispersion methods 5.1 Introduction 5.2. Estimates and confidence intervals for dispersion parameters. 5.3. Conformity tests for dispersion parameters. 5.4. Comparisons of two populations. 5.5. Comparing more than two populations. Chapter 6: Methods involving one or two averages. 6.1 Introduction. 6.2. Estimation and confidence interval of a mean. 6.3. Tests of conformity of a mean. 6.4. Comparison of two averages for independent samples. 6.5. Comparing two means for non-independent samples. Chapter 7: Analysis of variance (ANOVA) with one classification criterion 7.1 Introduction 7.2. Descriptive aspects. 7.3. Inferential aspects. 7.4. Power and determining the number of observations. Chapter 8: Analysis of variance with two classification criteria. 8.1. Introduction. 8.2. Cross-tabulated models with equal numbers of observations. 8.3. Unequal crossover models. 8.4. Hierarchical models. 8.5. Power and determining the number of observations. Chapter 9: Simple correlation methods. 9.1 Introduction. 9.2 Sampling distributions. 9.3 Estimation and confidence interval of a correlation coefficient. 9.4 Conformity and significance tests for a correlation coefficient. 9.5 Comparison of two or more correlation coefficients. Chapter 10: Simple linear regression methods 10.1 Introduction 10.2. Sampling distributions. 10.3. Fitting and validation of a least squares line. 10.4. Estimation using a least squares line. 10.5. Compliance, significance and linearity tests for least-squares lines. 10.6. Comparison of two or more least-squares lines. 10.7 The least-squares line (generality).
Evaluation	Final exam 50% Practical work 50% Practical work 100% : 50% Reports. 25 % Micro-interrogations. 25% homework.